bluuebunny/crossref_metadata_2025_split huggingface dataset:
Mechanism of microRNA-152-3p-mediated regulation of autophagy and sensitivity in paclitaxel-resistant ovarian cancer cells
Authors: Wu Di , zhang Yang , Zhang Luna , Xia Wanying , Cai Bingkun , Dong Feihong , Wu Ke , Cheng Lichun , Shao Mingkun , Ma Hui , Hu Zengchun , Lu Huiyi 
Published: June 2024

Abstract

Purpose:
The study investigated microRNA-152-3p-mediated autophagy and sensitivity of paclitaxel-resistant ovarian cancer cells.
Methods:
The miR-152-3p mimics and miR-152-3p inhibitor were transfected in A2780 cells and A2780T cells, and the scrambled sequences were transfected as a negative control group, the transfection efficiency was detected by qPCR technology. MTT was used to detect the proliferation and IC50 value of the cells after transfection. The expression of target proteins in A2780 cells and A2780T cells were detected by qPCR; The expression of phosphatase and tensin homolog (PTEN) and ATG4D after transfection were analyzed by Western blot. The knockdown efficiency of PTEN was detected by reverse qRT-PCR, MTT and Western blot.
Results:
The expression level of miR-152-3p in A2780T cells was 52-fold higher than that in A2780 cells according to the results of qPCR. Downregulation of miR-152-3p reversed PTX-induced autophagy, inhibited cell proliferation and apoptosis, and reduced drug resistance in A2780T cells. Moreover, PTEN appeared to be potential targets of miR-152-3p, and low expression levels of miR-152-3p increased PTX sensitivity by downregulating PTEN in vitro.
Conclusion:
PTEN may be a novel therapeutic target gene for patients with PTX-resistant ovarian cancer.
Detection of Mycoplasma Pneumoniae Using Targeted Next-Generation Sequencing: A Comparative Analysis of Clinical Characteristics in Pure Infections and Co-Infections
Authors: Du Zhuman , Chen Xiaoju , Chen Pei 
Published: June 2024

Abstract

Mycoplasma pneumoniae is a common pathogen of community-acquired pneumonia, exhibiting a periodic epidemic pattern. However, there is currently no research comparing the characteristics of co-infections in patients with Mycoplasma pneumoniae. This study aims to explore the epidemiological characteristics of co-infections associated with Mycoplasma pneumoniae and to assess the specific traits of laboratory findings utilizing targeted Next-Generation Sequencing (tNGS) technology. A total of 104 patients diagnosed with Mycoplasma pneumonia were included. Based on the results of targeted NGS testing, patients were divided into a group with pure Mycoplasma pneumoniae infection (46 cases) and a group with Mycoplasma pneumoniae co-infected with other bacterial infections (58 cases). Data regarding demographic characteristics, laboratory tests, and targeted NGS results from bronchial lavage fluid during hospitalization were collected. Patients with pure Mycoplasma pneumoniae infection exhibited significant differences in lymphocyte count, neutrophil-to-lymphocyte ratio, alanine aminotransferase (ALT), and lactate dehydrogenase (LDH) levels compared to those with Mycoplasma pneumoniae complicated by other infections (P < 0.05 for all). The rate of pure Mycoplasma pneumoniae infection was higher in females than in males (P < 0.05). Older patients were more prone to pure Mycoplasma pneumoniae infection, whereas younger patients were more likely to have Mycoplasma pneumoniae complicated by bacterial infections (P < 0.05 for both). Furthermore, Streptococcus pneumoniae was the most common pathogen associated with co-infections, particularly prevalent among children (P < 0.05). There are differences in age, gender, and laboratory test results between patients with pure Mycoplasma pneumoniae infections and those with Mycoplasma pneumoniae coinfections, with varying infection characteristics displayed among patients of different age groups.
Using four nutritional assessment tools to analyze and compare the risk factors of malnutrition in Type diabetes: A Cross-Sectional Study in Chongqing, China
Authors: Tian Jiao , Zhang Xia , Ran Qian , Shi Xinlu , Zhao Xili 
Published: June 2024

Abstract

To assess nutritional status of patients with type 2 diabetes and analyze the risk factors by using 4 nutritional assessment tools in The Second Affiliated Hospital of Chongqing Medical University.This study involved 421 patients with type 2 diabetes hospitalized in The Second Affiliated Hospital of Chongqing Medical University between August 2022 and February 2023. Four nutritional assessment tools, including the GLIM, NRS-2002, MUST, and MNA-SF were used to assess nutritional status to the patients with type 2 diabetes. The multivariate logistic regression analysis method was used to identify the risk factors of nutritional status. The 421 patients has 252 (59.9%) males and 169 (40.1%) females, with the mean age of 58 ± 15 years, the median BMI of 24.7±3.8. The incidence of malnutritionnutrition risk were 12.8%, 22.1%, 30.4% and 33.3% for the GLIM, NRS-2002, MUST and MNA-SF tools, respectively. Compared with the well-nourished patients, the malnutrition patients show the significant differences in the aspects of the BMI, Barthel index, education level, sex, smoking, duration of diabetes, complication and medical insurance (P<0.05). After adjusting for confounding factors, the multivariate logistic regression analysis indicated that the BMI (odds ratio (OR) = 0.841, 95% CI = 0.769 - 0.919), sex (OR = 0.539, 95% CI = 0.301 - 0.967 ), duration of diabetes (OR = 0.955, 95% CI = 0.915 - 0.997 ), smoking (OR = 1.996, 95% CI = 1.089 - 3.657 ) might be the independently factors of nutritional status. Excluding the BMI from multivariate logistic regression analyze, the results showed that the Barthel index, education level (OR = 0.53, 95% CI = 0.286 - 0.981), sex (OR = 0.478, 95% CI = 0.272 - 0.843) were independent factors for malnutrition in T2DM patients (all P < 0.05). Excluding BMI again for confounding factor analysis, the multivariate logistic regression analysis indicated that Barthel index, education level (OR = 0.53, 95% CI = 0.286 - 0.981), sex (OR = 0.478, 95% CI = 0.272 - 0.843) were independent factors for malnutrition in T2DM patients (all P < 0.05). We shouldn’t ignore the prevalence of malnutrition in hospitalized patients with type 2 diabetes. The BMI, Sex, Duration of diabetes, smoking, Barthel’s index and Education level were independently associated with malnutrition. We recommend to prevent malnutrition in type 2 diabetes by controlling the influenced factors above.
Genetic mechanism and evolutionary pattern of pore structure in deep marine shales in Sichuan Basin, South China: Insights from SEM observation and quantitative characterization
Authors: Wang Xueying , Zhang Kun , Jiang Shu , Song Yan , Jiang Lin , He Xinyang , Niu Hulin , Jiang Wei , Li Jing , Wu Yijia , Gao Zhi , Zhang Chen , Yuan Xuejiao , Han Fengli , Wang Zeyun , Ye Laiting 
Published: June 2024

Abstract

This study addresses gaps in research on the pore structures of deep, organic-rich marine shales, focusing on the lower Silurian Longmaxi Formation in Sichuan's Luzhou Block, using wells L1 and L2. Employing techniques like organic geochemistry, mineral composition analysis, CO2 and N2 adsorption-desorption, high-pressure mercury intrusion, FIB-SEM, and NMR, the study identifies pyrobitumen as the main pore contributor, accounting for approximately 59.95%-62.00% of pores. It documents a reduction in pore storage and connectivity from the over-mature to semi-graphitised stages, with mesopores showing a smaller decline (8.37%-9.14%) compared to micropores and macropores (25.02%-52.86%). Additionally, connectivity of 100–1000 nm pores decreased significantly (33.46%-62.09%). Changes in the stages of maturity affected the pore characteristics: retained oil in mature stages transformed into pyrobitumen, reducing surface porosity. In the over-mature stage, diagenesis and thermal evolution led to gas-filled pyrobitumen pores which balanced with formation pressures to preserve pore structure. The semi-graphitised stage saw a significant reduction in pore volume and surface porosity due to compaction and carbonization.
Investigating the Effect of Climatic Parameters on Pavement Asphalt Using Systems Dynamics Approach
Authors: Alas Mustafa , Bolouri Farhad , Tokdemir Ömer 
Published: June 2024

Abstract

One of the factors affecting the quality of life of citizens is the condition of urban roads, therefore paving the roads and maintaining the roads in good condition is one of their basic needs as this facilitates the passage of goods and citizens. Identifying the impact of various factors on pavement design, construction and maintenance is one of the duties of highway engineers. In this research, four climatic parameters (rain, snow, solar radiation, and wind) and their effect on pavement maintenance were investigated. For this investigation, the system dynamics and its causal and effect diagrams were utilized. The reinforcement loops of each of these factors were analyzed and finally, suggestions were presented. Suggestions in general, were; 1) fundamental design of pavement roads, 2) use of up-to-date materials and technology in road pavement, and 3) consideration of climatic parameters during the design and construction of vehicles.
Numerous Chirped and Optical Solitons for Cubic Nonlinear Schrödinger Equation with Kerr Nonlinearity and Beta Derivatives
Authors: Altwaty Abdulmalik A. 
Published: June 2024

Abstract

This work explores new optical and chirped optical solitons for the space-time fractional cubic nonlinear Schrödinger equation (NLFSEs) in the presence of Kerr law nonlinearity, utilizing the new extended auxiliary equation approach. The solutions show a wide range of behaviors within the system and are stated in terms of trigonometric and hyperbolic functions. A broad range of phenomena is displayed by the several varieties of optical and chirped optical solitons that have been found, including dark, bright, kink, and periodic. A better knowledge of solution creation and properties may be attained by representing 2D and 3D graphs with different values of parameters.
Using the potential of Boundary Rivers to supply water for megacities (case study of Iran and Turkmenistan)
Authors: Aghamajidi Roozbeh , Mansouri Babak Babak , Ahmadi Mohamad Hossein 
Published: June 2024

Abstract

In recent years, the provision of drinking water and health to the residents of the holy metropolis of Mashhad has become the main concern of the decision makers of this basin. In this regard, one of the suggested ways to compensate part of the shortages of water demand for drinking and sanitation in the city of Mashhad is the plan to transfer water from the Chechehe and Qaretikan dams by constructing structures downstream of these dams and transferring the water to the water transfer tunnel of the Dosti Dam and then to the city of Mashhad. For this purpose, in this study, first, the changes in water allocation from these two dams were evaluated by taking into account drinking, agricultural, ecological needs and the water treaty between Iran and Turkmenistan using the WEAP water allocation model. Then, in the second stage, the assessment of meeting the above-mentioned needs was investigated using the Water supply percentage index. According to the results, the transfer of water due to the threshold of limit transferable volume, is practical and possible. However, it should be noted that no additional loading should be considered during the wet periods as compared to the existing conditions in order to ensure a stable supply of drinking water in Mashhad through two dams.
Performance of the structural damage detection of composite fibre concrete using (EMI) Technique with piezoelectric sensor
Authors: Sonker Maheshwari , Shanker Rama 
Published: June 2024

Abstract

Composite structures and materials find widespread applications across industries such as civil engineering, automotive, and aerospace owing to their exceptional strength-to-weight ratio, stiffness, and resistance to corrosion. However, these materials are prone to various forms of damage, including matrix cracking, delamination, and fiber breakage, which can compromise their performance and lead to failure. Hence, the development of robust health monitoring and inspection (HMI) techniques is imperative for the multi-damage detection and durability assessment of composite structures and materials. Electromechanical impedance (EMI) emerges as a promising HMI technique for such applications. EMI, a non-destructive testing (NDT) method, involves measuring the electrical impedance of a piezoelectric sensor bonded to the structure, enabling detection and characterization of damage. In this study, standard cube specimens were cast using OPC cement, Class F fly ash, and polypropylene fiber mixture. Analysis revealed a direct correlation between the Root Mean Square Deviation (RMSD) index and crack dimensions, with heightened sensitivity observed at smaller patch-to-damage distances. Moreover, the conductance and susceptance signatures consistently shifted with increasing damage, with significant leftward shifts indicating damage severity. A new damage index, ranging from 0 to 1, facilitated quantitative damage analysis, exhibiting pronounced variation in the 30–400 kHz frequency range. Additionally, equivalent stiffness and damping structure parameters were evaluated. Overall, the research demonstrates the effectiveness of surface piezoelectric sensors based on the EMI technique in monitoring concrete damage and its evolution, providing valuable insights for predicting the service life and durability of concrete structures.
Graphene-inspired quasi-two-dimensional gold films
Authors: Novoselov K. , Mironov Mikhail , Yakubovsky Dmitry , Ermolaev Georgy , Khramtsov Igor , Kirtaev Roman , Slavich Aleksandr , Tselikov Gleb , Vyshnevyy Andrey , Arsenin Aleksey , Volkov Valentyn 
Published: June 2024

Abstract

Reproducible and scalable fabrication of two-dimensional (2D) materials within standard laboratory and industrial facilities has brought remarkable advancements and perspectives in both scientific and industrial domains. As the trajectory towards the graphene era continues, there is a compelling need to harness 2D technology further for the transformation of three-dimensional (3D) materials production and applications. Here, we resolve this challenge for one of the most widely utilized 3D material in modern electronics – gold – using graphene-inspired fabrication technology that allows us to develop a multistep production method of quasi-2D gold films. Such films demonstrate exceptional properties – continuous morphology, low sheet resistance (10 Ω/sq), and high transparency (80%), offering unprecedented opportunities in a variety of technological and scientific sectors. To this end, we demonstrate smart contact lenses and thermal camouflage based on 2D gold. Technologically, the record-breaking characteristics of ultrathin gold films open new horizons for the next-generation flexible and transparent electrodes for photonics and optoelectronics. Most importantly, the demonstration of 2D gold changes the very paradigm of the field of 2D crystals and dramatically expands the range of available 2D materials.
Vaccination Games of Boundedly Rational Parents toward New Childhood Immunization
Authors: Yin Wei , Ndeffo-Mbah Martial L , Oraby Tamer 
Published: June 2024

Abstract

Infectious diseases harm societies through disease-induced morbidity, mortality, loss of productivity, and inequality. Thus, controlling and preventing them is critical for public health and societal well-being. However, societies can hamper efforts to control the spread of diseases by non-adherence to public health recommendations; like, through vaccine hesitancy. Various disease-transmission models have been utilized to help policymakers respond to (re)emerging outbreaks. The usefulness of such models in assessing the effectiveness of public health policies is significantly dependent on human behavior. This paper introduces a new model of parental behavior toward a new childhood immunization. The model incorporates societal features, social norms, and bounded rationality. We integrate that model with the dynamics of childhood disease depicted by a standard susceptible-infected-recovered model to offer a detailed perspective on vaccine acceptance dynamics. We found that the behavioral model provides a new population game theory's replicator dynamical equation with an entropy-like term. Interestingly, societal norms and bounded rationality play an important role in shaping vaccine uptake through a new function, which we call the critical societal vaccine cost. The results suggest that reduced vaccine costs below that critical societal vaccine cost and higher initial acceptance rates increase the probability of disease elimination. A gradual increase in the cost of vaccination as an adaptive dynamical policy of disease eradication is also possible. In particular, strong social norms and low levels of bounded rationality positively contribute to disease eradication even when the basic reproduction number of the disease in that society is large.
Improve sensitivity for the study of blood diseases by analysis of hemoglobin concentration using a graphene-coated SPR based biosensor
Authors: ilyes HABIA Mohamed , Aissa Manallah , Khaled Ayadi 
Published: June 2024

Abstract

Recent scientific and technical advancements have resulted in the creation of very sensitive biosensing devices for pathogen detection. Surface plasmon resonance (SPR) has developed as an environmentally benign and effective label-free detection method in clinical research, notably for studying biomolecular interactions such as hemoglobin interactions. SPR can be used to assess blood abnormalities such as anemia, which is characterized by a transitory fall in blood hemoglobin concentration due to a decrease in red blood cell count. When compared to gold film sensors, using silver as the metal material and graphene to improves the sensitivity and gives a more distinct reflectance spectrum. The fundamental goal of this research is to improve hemoglobin detection sensitivity by concentration analysis, hence leading to a better knowledge of blood behavior utilizing SPR. This entails examining SPR reflectivity and calculating electromagnetic field dispersion in multilayer structures using a mechanism for wave propagation in stratified media based on transfer matrices.
Modeling runoff in Bhima River catchment, India: A comparison of artificial neural networks and empirical models
Authors: Dalavi Pradip , Bhakar Sita Ram , Rajput Jitendra , Gaddikeri Venkatesh , Tiwari Ravindra Kumar , Shukla Abhishek , Vishwakarma Dinesh Kumar 
Published: June 2024

ABSTRACT
Effective water resource management in gauged catchments relies on accurate runoff prediction. For ungauged catchments, empirical models are used due to limited data availability. This study applied artificial neural networks (ANNs) and empirical models to predict runoff in the Bhima River basin. Among the tested models, the ANN-5 model, which utilized rainfall and one-day delayed rainfall as inputs, demonstrated superior performance with minimal error and high efficiency. Statistical results for the ANN-5 model showed excellent outcomes during both training (R = 0.95, NSE = 0.89, RMSE = 17.39, MAE = 0.12, d = 0.97, MBE = 0.12) and testing (R = 0.94, NSE = 0.88, RMSE = 11.47, MAE = 0.03, d = 0.97, MBE = 0.03). Among empirical models, the Coutagine model was the most accurate, with R = 0.82, MBE = 74.36, NSE = 0.94, d = 0.82, KGE = 0.76, MAE = 70.01, MAPE = 20.6%, NRMSE = 0.22, RMSE = 87.4, and DRV = −9.2. In contrast, Khosla's formula (KF) significantly overestimated runoff. The close correlation between observed and ANN-predicted runoff data underscores the model's utility for decision-makers in inflow forecasting, water resource planning, management, and flood forecasting.
Prediction Model and Nomogram of Early Recurrence of Hepatocellular
Carcinoma after Ultrasound-guided Microwave Ablation
Authors: Wang Xinyao , Gu Dongyue , Qin Haiying , Lu Xiao , Hu Jingxi , Zhang Huan , Wan Xiaoqi , He Guangbin 
Published: June 2024

Background::
Ultrasound-guided microwave ablation (MWA) is recommended as a first-line treatment for early liver cancer due to its minimally invasive,
efficient, and cost-effective nature. It utilizes microwave radiation to heat and destroy tumor cells as a local thermal therapy and offers the benefits
of being minimally invasive, repeatable, and applicable to tumors of various sizes and locations. However, despite the efficacy of MWA, early
recurrence after treatment remains a challenge, particularly when it occurs within a year and has a significant impact on the prognosis of the
patient.

Objective::
This study aimed to identify the risk factors for early recurrence after MWA in patients with hepatocellular carcinoma (HCC) and establish a predictive model.

Methods::
A total of 119 patients with hepatocellular carcinoma (HCC) treated in the Department of Ultrasound at the First Affiliated Hospital of the Air
Force Medical University from January, 2020 to April, 2022 were included in this study. Patients were categorized into the early recurrence group
and the non-early recurrence group based on whether recurrence occurred within 1 year. We conducted univariate analysis on 29 variables. A
predictive model was developed using multiple-factor logistic regression analysis, and a risk column graph was created

Results::
A total of 28 patients were included in the early recurrence group, with an early recurrence rate of 23%. Tumor size ≥ 3cm, multiple tumors, AST >
35 U/L, low pathological differentiation, CD34 positive, Ki67 level, quantitative parameters mean transit time (mTT), and rise time (RT) were
confirmed as risk factors affecting early recurrence after ablation (P < 0.05). Furthermore, the model constructed based on these 5 predictive
factors, including tumor size, tumor number, pathological differentiation, CD34, and quantitative analysis parameter mTT, demonstrated good
predictive ability, with an AUC of 0.93 in the training set and 0.86 in the validation set.

Conclusion::
Our research indicates that the risk column graph can be utilized to predict the risk of early postoperative recurrence in patients after MWA. This
contributes to guiding personalized clinical treatment decisions and provides important references for improving the prognosis of patients.