bluuebunny/crossref_metadata_2025 huggingface dataset:
Analysis of risk factors, clinical outcomes, and medical costs for pelvic infection after open pelvic fractures: A seven-year retrospective observation study at a single trauma centre
Authors: Choi Donghwan , So Jungsub , Cho Won Tae , Song Hyung Keun , Jung Kyoungwon
Published: January 2024

Background: Patients with unstable pelvic fractures usually die from haemorrhagic shock, whereas those with open pelvic fractures (OPF) die from pelvic infections (PIs) and pelvic sepsis (PS). We examined the clinical characteristics and results of PI in patients with OPFs.
Methods: Patients with OPFs treated at our hospital between March 2016 and February 2023 were retrospectively reviewed. Factors associated with PI were identified by logistic regression analysis.
Results: This study included 44 OPFs. In 50% (n=22) of these cases, the patients had PI. Gustilo grade-III ratio was much higher in the PI (81.8% [n=18]) than in the non-PI (36.4% [n=8]) group (p=0.008). Incidence of anorectal injury was higher in the PI group (68.2% [n=15] vs 13.6% [n=3], p=0.001). Multivariate logistic regression revealed age (odds ratio 1.02 [95% confidence interval 1.020–1.148], p=0.009), serum lactate level (1.319 [0.992–1.755], p=0.018), presence of Gustilo grade-III (7.467 [0.987–56.517], p=0.052), and anorectal injury (36.468 [3.107–427.991], p=0.004) as independent risk factors for PI. Hospitalisation stay, overall medical costs, and number of surgeries were 2.8 (84.0 vs 30.5 days, p=0.002), 2.9 (95.812 vs 33,224 USD, p=0.001), and 2.9 (13.0 vs 4.5, p<0.001) times higher in the PI than in the non-PI group, respectively.
Conclusions: Age, serum lactate levels, Gustilo-Anderson grade-III status, and presence of anorectal injury are the risk factors for PI in patients with OPFs. PIs are associated with high medical costs. Early wound management, precise antibiotic therapy, and early-multidisciplinary approaches are necessary to treat PIs and prevent sepsis.
Treatment of diabetic macular edema: Bibliometric analysis
Authors: Wang Shengzhan , Shen Wenyue , Wang Wenhao , Xin Shuanghua , Ren Weina , Jin Kai
Published: January 2024

Purpose
To comprehensively analyze and discuss the publications about treatment of diabetic macular edema (DME) following a bibliometric approach.
Methods
The publications on treatment of diabetic macular edema from 2014 to 2023 were retrieved from the Web of Science Core Collection (WoSCC) database. We analyzed the publication and citation trend over time and identified highly-cited articles, productive countries, institutions, journals and the most relevant research domains. VOSviewer was used to visualize the mainstream research topics and keywords.
Results
By analyzing a total of 1081 relevant publications, the number of annual publications showed an increasing trend over the last ten years, with the average growth rate of 15.15%. USA (290/1081), Italy (119/1081), China (110/1081) and Japan (99/1081) were the most productive countries. Retina-The Journal of Retinal and Vitreous Diseases was the most productive journal in this field. Johns Hopkins University (USA, 53/1047), Harvard University (USA, 34/1047), JAEB Center For Health Research (USA, 33/1047) and Assistance Publique Hopitaux Paris (France, 31/1047) were the most productive institutions. The analysis of keywords showed that “diabetic macular edema”, “ranibizumab”, “retinopathy”, “bevacizumab” and “endothelial growth-factor” were the most frequent keywords throughout the entire period.
Conclusion
This study summarized the recent advances in the treatment on diabetic macular edema. Most studies have focused on the therapeutic effects of anti-VEGF agents on DME. With the deepening of technology and research, more and more reasonable treatment methods will emerge.
Predicting Acute Brain Injury in Venoarterial Extracorporeal Membrane Oxygenation Patients with Tree-Based Machine Learning: Analysis of the Extracorporeal Life Support Organization Registry
Authors: Kalra Andrew , Bachina Preetham , Shou Benjamin L. , Hwang Jaeho , Barshay Meylakh , Kulkarni Shreyas , Sears Isaac , Eickhoff Carsten , Bermudez Christian A. , Brodie Daniel , Ventetuolo Corey E. , Kim Bo Soo , Whitman Glenn J. R. , Abbasi Adeel , Cho Sung-Min
Published: January 2024

Objective: To determine if machine learning (ML) can predict acute brain injury (ABI) and identify modifiable risk factors for ABI in venoarterial extracorporeal membrane oxygenation (VA-ECMO) patients.
Design: Retrospective cohort study of the Extracorporeal Life Support Organization (ELSO) Registry (2009-2021).
Setting: International, multicenter registry study of 676 ECMO centers.
Patients:
Adults (≥18 years) supported with VA-ECMO or extracorporeal cardiopulmonary resuscitation (ECPR).
Interventions: None.
Measurements and Main Results: Our primary outcome was ABI: central nervous system (CNS) ischemia, intracranial hemorrhage (ICH), brain death, and seizures. We utilized Random Forest, CatBoost, LightGBM and XGBoost ML algorithms (10-fold leave-one-out cross-validation) to predict and identify features most important for ABI. We extracted 65 total features: demographics, pre-ECMO/on-ECMO laboratory values, and pre-ECMO/on-ECMO settings.
Of 35,855 VA-ECMO (non-ECPR) patients (median age=57.8 years, 66% male), 7.7% (n=2,769) experienced ABI. In VA-ECMO (non-ECPR), the area under the receiver-operator characteristics curves (AUC-ROC) to predict ABI, CNS ischemia, and ICH was 0.67, 0.67, and 0.62, respectively. The true positive, true negative, false positive, false negative, positive, and negative predictive values were 33%, 88%, 12%, 67%, 18%, and 94%, respectively for ABI. Longer ECMO duration, higher 24h ECMO pump flow, and higher on-ECMO PaO2 were associated with ABI.
Of 10,775 ECPR patients (median age=57.1 years, 68% male), 16.5% (n=1,787) experienced ABI. The AUC-ROC for ABI, CNS ischemia, and ICH was 0.72, 0.73, and 0.69, respectively. The true positive, true negative, false positive, false negative, positive, and negative predictive values were 61%, 70%, 30%, 39%, 29% and 90%, respectively, for ABI. Longer ECMO duration, younger age, and higher 24h ECMO pump flow were associated with ABI.
Conclusions: This is the largest study predicting neurological complications on sufficiently powered international ECMO cohorts. Longer ECMO duration and higher 24h pump flow were associated with ABI in both non-ECPR and ECPR VA-ECMO.
Maternal perinatal noise exposure and risk of congenital heart disease: a case-control study in Northwest China
Authors: Yan Mingxin , Zhao Yan , Zhao Doudou , Sun Yuanhan , Wang Bin , Zhou Yan , Pei Leilei , Qu Pengfei
Published: January 2024

Background: In recent years, congenital heart disease (CHD) has emerged as the predominant birth defect. This study seeks to explore the correlation between maternal perinatal noise exposure and the occurrence of CHD in their offspring.
Methods:A case-control investigation encompassed 589 cases and 1193 controls, conducted in six tertiary hospitals in Xi'an, Shaanxi Province, Northwest China. The link between maternal periconceptional noise exposure and the occurrence of CHD in offspring was evaluated by estimating the odds ratio (OR) through a multifactorial logistic regression model. Additionally, we employed restricted cubic spline curves to delineate the nonlinear relationship between the duration of noise exposure and the incidence of CHD.
Results: After accounting for confounding variables, maternal periconceptional noise exposure demonstrated an association with an elevated risk of CHD in offspring (OR=1.81, 95% CI: 1.36,2.40). In comparison to pregnant women not exposed to noise, the duration of noise exposure was linked to an increased risk of CHD in offspring (4 ~ ≤8 hours/day: OR=3.24, 95% CI: 2.02,5.20; >8 hours/day: OR=2.07, 95% CI: 1.19,3.58), and exposure to various noise sources was associated with an augmented risk of CHD in offspring (traffic: OR=1.75, 95% CI: 1.20,2.56; construction and industrial production: OR=2.13, 95% CI: 1.29,3.50). The analysis using restricted cubic spline curves revealed a positive correlation between the duration of noise exposure and the risk of CHD. Furthermore, residing closer to a major traffic artery (≤50 meters) during pregnancy was linked to a heightened risk of CHD in the fetus (OR=2.30, 95% CI: 1.66,3.19). Similarly, proximity to a construction site (≤500 meters) was associated with an increased risk of CHD in the fetus (OR=1.98, 95% CI: 1.37,2.85).
Conclusions: The findings of our study indicate that maternal noise exposure during pregnancy elevates the risk of CHD in offspring. Furthermore, exposure to traffic and construction noise, and longer durations of noise exposure were more strongly associated with the risk of CHD in the offspring.
Simulations for in-flight stellar calibration aimed at monitoring space instruments optical performance
Authors: Casini Chiara , Chioetto Paolo , Comisso Antonela , Fabio Frassetto , Zuppella Paola , Deppo Vania Da
Published: January 2024

Stellar in-flight calibrations have a relevant impact on the capability of space optical instruments, such as telescopes or cameras, to provide reliable scientific products, i.e. accurately calibrated data. Indeed, by using the in-flight star images, instrument optical performance can be checked and compared with the on-ground measurements. The analysis of star images carried out throughout the entire lifetime of the instrument in space will enable tracking changes in instrument performance and sensitivity due to degradation or misalignment of the optical components.
In this paper, we present the concept, the necessary input and the available outputs of the simulations performed to predict the stars visible in the FoV of a specific space instrument. As an example of the method, its application to two specific cases, i.e. the Metis coronagraph on board Solar Orbiter and the stereo camera STC on board BepiColombo, will be given.
Due to their proximity to the Sun, and also to Mercury for STC, both instruments operate under hard conditions subjected to high temperatures and significant temperature variations. Therefore, performance optical monitoring is crucial.
Development and Evaluation of Potato Starch and Chitosan Modified Capecitabine Nanoparticles for Enhanced Colon Cancer Treatment: A Comprehensive Study on PhysicalProperties, In vitro Efficacy, and In vivo Targeting
Authors: Bhattacharya Sankha , Page Amit , Shinde Prafull
Published: January 2024

This study explores the innovative application of carbohydrate-based nanoparticles in aggressive colon cancer treatment. We synthesized Capecitabine (CTB) nanoparticles by conjugating them with potato starch and chitosan, utilizing the unique properties of these materials. CTB nanoparticles were meticulously fabricated through ultrasonication, hydrolysis with 0.1M NaOH, and ionotropic gelation. Characterization included drug loading, rheological studies, Surface-Enhanced Raman Spectroscopy (SERS), Fourier-Transform Infrared Spectroscopy (FTIR), Differential Scanning Calorimetry (DSC), X-ray Diffraction (XRD), and Thermogravimetric Analysis (TGA). Analysis of XRD and FTIR spectra revealed molecular disorder and crystallinity loss. Beyond physical characterization, we explored functional and antioxidant properties, showing promise with a mean particle size of 245±10.45nm, zeta potential +30.3±8.09 mV, leading efficacy 76.45±3.85%, and 92.25±5.78% drug release over 100 hours. Subsequently, we evaluated cytotoxicity against HT-29 cells in vitro and in vivo using N, N-dimethylhydrazine-induced male Balb/c mice. Capecitabine-loaded potato starch-chitosan (CTB-PS-CS) nanoparticles exhibited superior colon histology and lower tumour scores, highlighting their robust anticancer activity. CTB-PS-CS-NPs significantly reduced VEGD and CD31 compared to free CTB. We conducted various cellular assays, including tube-forming, wound-healing, crystal violet staining, and apoptosis studies, consistently demonstrating pronounced anticancer effects on HT-29 cells. Our study supports the enhanced anticancer activity of CTB-PS-CS-NPs, indicating their potential for assessing nanoparticle efficacy and compatibility across diverse cancer models.
Response of Nanosilica on Physiological and Leaf Surface Anotomical Characters in Rice under Drought
Authors: Surendar K. Krishna , Raja R. Karthik , Srith N. , Ravichandran V. , Kannan M. , Pushpam R. , Anitha R. , Priya R. Sathya , Yuvaraj M
Published: January 2024

The experimentation was carried out during the summer (2021–2022) at the Rice Department, Tamil Nadu Agricultural University, Coimbatore to assess the effects of nanosilica on drought imposed rice plants and to assess the impact of different concentrations of nanosilica (SiO2) on growth, anatomical, physio-biochemical parameters and yield characters of rice under drought conditions. In this experiment, different concentrations of the nanosilica formulation at 200, 400, 600, 800, and 1000 ppm were applied as foliar sprays under drought conditions. Spraying of 400 ppm of nanosilica formulation under drought stress in this field experiment has resulted of increases in leaf area and specific leaf weight of 14.3 and 15.3%, respectively. Application of 400 ppm nanosilica increases up to 12.5% in terms of membrane stability index (MSI), meanwhile in chlorophyll stability index (CSI) was increased up to 20.4%. Proline content was decreased up to 26.9% by application of nanosilica (400 ppm) in drought imposed treated plants. Trichome length and the length of the silica bodies were significantly increase of about 17.4 and 9.1% over the control. Application 400 ppm of nanosilica had maximum of 68.9 and 29.4% increment in terms of trichome and silicon bodies length over the drought. Stomatal structures are reduced significantly with mean reduction of 43.5% than the control in both the rice varieties. Under the drought, the average increase in stomatal size was 65.5% when 400 ppm nanosilica was applied. When exposed to 400 ppm of nanosilica treatments, CO54 showed more responses than the other variety in terms of leaf area, specific leaf weight, MSI, CSI, proline and leaf surface characteristics during drought.
Passive compensation of temperature instability of microwave diode power detectors
Authors:   Tomsk State University of Control Systems and Radioelectronics, Nechaev Vladimir G. , Zagorodny Andrey S. ,   Tomsk State University of Control Systems and Radioelectronics, Zabolotsky Aleksandr M. ,   Tomsk State University of Control Systems and Radioelectronics
Published: January 2024

The article presents the results of a study of the temperature effect on the characteristics of low-barrier ZB-28 diodes with a cutoff frequency over 100 GHz and diode detectors of microwave signal power based on them. A method is proposed to compensate the temperature instability of detectors, implemented by including an additional reference diode in the diode detector circuit. The main results presented of experimental studies for the developed detector with passive temperature compensation are presented.
Review of existing methods, approaches and technologies in assessing the relevance and potential of scientific and technical areas
Authors:   Tomsk National Research Polytechnic University, Soliev Iskander B. , Saveliev Aleksei O. ,   Tomsk National Research Polytechnic University
Published: January 2024

Currently, there are many methods, approaches and technologies for assessing the relevance and potential of scientific and technical areas. This is an important task for the development of science and innovation, as well as for defining priorities and strategies for research funding. This paper provides a review of existing methods, approaches and technologies, as well as their advantages and disadvantages. Particular attention is paid to methods based on the analysis of scientific publications, patents, citations, social networks and expert assessments. Promising directions for further development and improvement of methods for assessing the relevance and potential of scientific and technical areas are also considered. The basic requirements for automated research management systems are also specified and their efficiency and advantages are analyzed.
Formation of Wagasi and Its Cultural Significance
Authors:   Association for International Tea Culture, Noh Keun-sook
Published: January 2024

The term ‘Wagashi’ (和菓子) gained popularity during the Meiji era in the late 19th century, coinciding with the introduction of Western confectionery culture to Japan. Today's Wagashi originated from Chinese sweets known as ‘Togashi’ (唐菓子), representing a significant shift from natural to processed foods.
The recipes for Chinese sweets laid the foundation for the history of Wagashi, and the lunch culture of the time fostered the development of confectionery alongside the prosperity of the tea ceremony. It was during this era that the need for 'Chagashi' (茶菓子), original Japanese confectionery, arose.
In the 1800s, the Nanbanggashi (南蛮菓子) era began, introducing sugar to the influx. It was during this period that the style of Wagashi as we know it today began to take shape.
As one of Japan's traditional cultures, Wagashi has evolved in tandem with the changing seasons, establishing strong connections with seasonal customs and various rituals. Furthermore, the development of Japanese Wagashi culture is intricately linked to tea culture.
Corellation Between Education and Football Club's Performance
Authors:   Universitas Prasetiya Mulya BSD City Kavling Edutown I.1, Jl. BSD Raya Utama, BSD City, Kec. Pagedangan, Tangerang, Banten 15339, Indonesia, Jayawardhana Irman
Published: January 2024

Performance management is the tools for a sport organisation to measure their success. Previous studies have argued that a country’s success in sports is influenced by socio-economic factors that happen in that country. However, the factors that are used to determine the levels of success for football clubs are not necessarily the same, or bear the same weight. This study analyzes the influence of education in football clubs’ performance. The novelty of this work is that football clubs is treated as a business company that using measured performance indicator, cost efficiency and education as variables and determinants. Using an empirical analysis, the presented idea is to identify specific factors that raise football club’s success by means of several econometric specifications using panel data for European football clubs which playing in UEFA’s competition. It is found an evidence that education and football club’s expenditure caused to the sport performance. However, the club’s performance would be declining if it is influenced by certain part of education factor.
Unveiling the viral escape: Quantification of microfloc-bound viruses in precoagulation and membrane filtration
Authors: Yasui Midori , Katayama Hiroyuki
Published: January 2024

The implementation of precoagulation before the physical removal process is expected to achieve a high virus removal rate. However, viruses may form small flocs and subsequently escape into the effluent during physical removal processes. This study evaluated how viruses in the microflocs could be quantified using conventional virus quantification methods (plaque assay and quantitative polymerase chain reaction (qPCR)) to reveal the risk of underestimating virus concentration. In this study, the microfloc dissolution phenomenon in phosphate buffer solution was employed as a floc dissolution test. Viruses in microflocs formed under the experimental conditions. assuming water treatments, were quantified before and after floc dissolution. The findings revealed that virus concentrations increased by 1.0–3.9 log plaque-forming units/mL according to the plaque assay and by 1.7–4.0 log copies/mL according to the qPCR. This increase occurred after the dissolution of microflocs that were prepared in the humic acid test water. In the case of treated wastewater, virus concentrations increased in all samples according to the plaque assay and in seven of eight samples according to the qPCR. Our results indicate the necessity of careful consideration of virus quantification after precoagulation and physical removal systems.
Estimation of land subsidence using coupled particle swarm optimization and genetic algorithm: The case of Damghan aquifer
Authors: Ashouri Reza , Emamgholizadeh Samad , Haji Kandy Hooman , Mehdizadeh S. Sadjad , Jamali Saeed
Published: January 2024

Land subsidence, which is mainly caused by over-extraction of groundwater, is one of the most important problems in arid and semi-arid regions. In the present study, seven factors affecting the land subsidence, i.e., types of subsoil, land use, pumping, recharge, thickness of the plain aquifer, distance to the fault, and groundwater depletion were considered as input data for the ALPRIFT framework and intelligence models to map both Subsidence Vulnerability Index (SVI) and prediction of land subsidence, respectively. The hybrid of particle swarm optimization (PSO) and genetic algorithm (GA) (Hybrid PSO-GA) was then used to optimize the weights of the input layers and the estimation of the land subsidence. The capability of the PSO-GA at predictions of land subsidence compared with the typical GA model, and Gene Expression Programming (GEP). The statistical indices R2, RMSE, and MAE were used to assess the accuracy and reliability of the applied models. The results showed that the Hybrid PSO-GA model had R2, RMSE, and MAE equal to 0.91, 1.11 (cm), and 0.94 (cm), respectively. In comparison with the GA, and GEP models, the Hybrid PSO-GA model improved the prediction of land subsidence and reduced RMSE by 24.30 and 16.80%, respectively.
Mitigating Effect of Matricin Against Benzo(a)pyrene-induced Lung
Carcinogenesis in Experimental Mice Model
Authors: Yang Guang , Liu Huining , Xu Siwei , Tian Ziqiang
Published: January 2024

Background:

Lung cancer is a life-threatening disease that is still prevalent worldwide.
This study aims to evaluate the effects of matricin, a sesquiterpene, on the carcinogenic
agent benzo(a)pyrene [B(a)P]-induced lung cancer in Swiss albino mice.

Methods:

Lung cancer was induced by oral administration of B(a)P at 50 mg/kg b. wt. in model
Swiss-albino mice (group II) as well in experimental group III, and treated with matricin (100
mg/kg b. wt.) in group III. Upon completion of treatment for 18 weeks, the changes in body
weight, tumor formation, enzymatic and non-enzymatic antioxidant levels (GSH, SOD, GPx, GR,
QR, CAT), lipid peroxidation (LPO) level, pro-inflammatory cytokines (TNF-α, IL-6, IL-1β),
immunoglobulin levels (IgG, IgM), apoptosis markers (Bax, Bcl-xL), tumor markers (carcinoembryogenic
antigen (CEA), neuron-specific enolase (NSE)), and histopathological (H&E) alterations
were determined.

Results:

The results indicate that B(a)P caused a significant increase of tumor formation in the
lungs, increased tumor markers and inflammatory cytokines in serum, and depletion of enzymatic/
non-enzymatic antioxidants and immunoglobulins, compared to the untreated control group.
Matricin treatment significantly reversed the changes caused by B(a)P as evidenced by the biochemical
and histopathological assays.

Conclusion:

The changes caused by matricin clearly indicate the cancer-preventive effects of
matricin against B(a)P-induced lung cancer in animal models, which can be attributed to the antioxidant
activity, immunomodulation, and mitigation of the NF-kβ pathway.
Identification and Limit of Detection of Benzene, Chlorobenzene, Benzoic
Acid, Phthalic Acid, and Mellitic Acid in Water Solutions Using Excitation,
Emission, and Single-band Synchronous Fluorescence Spectroscopy
Authors: Sunuwar Suresh , Manzanares Carlos E.
Published: January 2024

Introduction:

This paper first introduces the use of computer-simulated single-band synchronous
fluorescence (SF) obtained from experimental excitation and emission fluorescence spectra
of a pure compound in solution. The simulation produces a single narrow band with a peak wavelength
that identifies the compound.

Methods:

The method is used to show single peak identification of benzene, chlorobenzene, benzoic
acid, phthalic acid, and mellitic acid in water solutions. Synchronous fluorescence spectroscopy
(SFS) is a variant of fluorescence technique in which excitation and emission scans are simultaneously
acquired and multiplied with a predetermined wavelength difference (Δλ) between the two.
Commercial instruments have this option to get the SFS signals.

Results:

In response to the Δλ selected, the result will be an SFS signal producing a series of peaks
that could be assigned to compounds. Instead of running the same experiment with different
Δλ values to identify the compounds, our simulation program determines a specific Δλ value that
generates a narrow SF band with a distinctive peak wavelength for identification purposes.

Conclusion:

Finally, binary mixtures of chlorobenzene with each compound in water are prepared.
The SFS of the solution is acquired and compared with the SFS bands of the components for identification
purposes. With the commercial lamp fluorimeter employed, the limits of detection are obtained
at the ng/g concentration level with fluorescence emission. Possible limits of detection at lower
concentrations are discussed using a laser source. The presence of these molecules in astrochemical
studies is discussed.
Mechanical Activation as a Stage of Coal Sample Preparation in the
Analysis of Rare Earth Elements Content by Inductively Coupled Plasma
Mass Spectrometry
Authors: Yudina Lidiya I. , Skripkina Tatiana S. , Shatskaya Svetlana S.
Published: January 2024

Background:

Brown coals are recognized as promising sources of rare earth elements
(REEs). Rare earths are present in both the mineral and organic parts of brown coal.

Objectives:

This study was conducted to investigate the influence of preliminary mechanical activation
in the process of sample preparation prior to analyzing the concentrations of rare earth elements
in brown coal samples of various origins and compositions

Methods:

Four coal samples from different deposits in Russia were selected for the study. Samples
were treated with mechanical activation, without reagents, or mechanochemical activation, with humic
acids added externally as reagents. X-ray phase analysis was carried out with the selected samples.
The quantities of rare-earth elements present in the samples were studied by the method of
high-sensitivity inductively coupled plasma mass spectrometry (ICP-MS).

Results:

It was found that the mechanical activation of coal before dissolution in a mixture of nitric
and hydrofluoric acids leads to an increase in the determined concentration of rare earth elements.
For this study, the expediency of using only nitric acid as an optimal solvent for the elemental analysis
of coal samples was shown. The total concentration of all REE after dissolution of nitric acid and
mechanochemical activation with humic acid reached 2456 g/t in Vanchin coal, 968 g/t in Azeysky
coal, and 24 g/t and 150 g/t in Itatsky and Spetsugli coals, respectively.

Conclusion:

Mechanical activation and mechanochemical treatment can greatly help to facilitate
sample preparation of natural objects, such as coals for elemental analysis, but in some cases, only a
change of solvent is sufficient. When developing technology for concentrating rare earth elements
from coal involving grinding, it is necessary to take into account the fact that mechanical activation
of coal changes its tendency to dissolve, which may affect the results of the analysis and should be
taken into account during experiments.
Increased SLC7A3 Expression Inhibits Tumor Cell Proliferation and Predicts a Favorable Prognosis in Breast Cancer
Authors: He Lifang , Xu Yue , Lin Jiediao , Lin Stanley Li , Cui Yukun
Published: January 2024

Background:

Arginine plays significant and contrasting roles in breast cancer growth
and survival. However, the factors governing arginine balance remain poorly characterized.

Objective:

We aimed to identify the molecule that governs arginine metabolism in breast cancer
and to elucidate its significance.

Methods:

We analyzed the correlation between the expression of solute carrier family 7 member
3 (SLC7A3), the major arginine transporter, and breast cancer survival in various databases,
including GEPIA, UALCAN, Metascape, String, Oncomine, KM-plotter, CBioPortal and
PrognoScan databases. Additionally, we validated our findings through bioinformatic analyses
and experimental investigations, including colony formation, wound healing, transwell, and
mammosphere formation assays.

Results:

Our analysis revealed a significant reduction in SLC7A3 expression in all breast cancer
subtypes compared to adjacent breast tissues. Kaplan-Meier survival analyses demonstrated that
high SLC7A3 expression was positively associated with decreased nodal metastasis (HR=0.70,
95% CI [0.55, 0.89]), ER positivity (HR=0.79, 95% CI [0.65, 0.95]), and HER2 negativity
(HR=0.69, 95% CI [0.58, 0.82]), and increased recurrence-free survival. Moreover, low
SLC7A3 expression predicted poor prognosis in breast cancer patients for overall survival. Additionally,
the knockdown of SLC7A3 in MCF-7 and MDA-MB-231 cells resulted in increased
cell proliferation and invasion in vitro.

Conclusion:

Our findings indicate a downregulation of SLC7A3 expression in breast cancer
tissues compared to adjacent breast tissues. High SLC7A3 expression could serve as a prognostic
indicator for favorable outcomes in breast cancer patients due to its inhibitory effects on
breast cancer cell proliferation and invasion.
Combination of Ethacrynic Acid and ATRA Triggers Differentiation and/or Apoptosis
of Acute Myeloid Leukemia Cells through ROS
Authors: Li Lu , Xi Hui-Min , Lu Hao , Cai Xun
Published: January 2024

Background and objective:

All-trans retinoic acid (ATRA), an effective differentiation inducer, has
been applied clinically to treat acute promyelocytic leukemia (APL). Unfortunately, it is not as potent in other
kinds of acute myeloid leukemia (AML). Ethacrynic acid (EA), a classical powerful diuretic, can increase reactive
oxygen species (ROS) contents, which can assist ATRA in inducing differentiation in AML cells. Here, we
investigated the effect of EA combined with ATRA (EA+RA) on some AML cells except APL.

Methods:

Apoptosis and differentiation were determined by morphology, cell viability, Annexin-V assay and
CD11c expression. Western blot analysis and the detection of ROS and mitochondrial transmembrane potentials
(MMP) were used to investigate the mechanisms.

Results:

AML cells exhibited differentiation and/or apoptosis after EA+RA treatment. EA+RA increased the
intracellular ROS contents. EA+RA-induced apoptosis was accompanied by MMP attenuation and caspase-3/7
activation. EA+RA-induced differentiation was along with MEK/ERK and Akt activation and increased expression
of PU.1, CCAAT/enhancer-binding protein β (C/EBPβ) and C/EBPε. N-acetyl-L-cysteine (NAC), an antioxidant,
thoroughly reduced EA+RA-increased ROS, and also inhibited MMP attenuation, the activation of caspase-
3/7, MEK/ERK and Akt pathways, the elevation of PU.1 and C/EBPs, and apoptosis and differentiation. However,
MEK or PI3K specific inhibitors only suppressed EA+RA-triggered differentiation and the elevation of PU.1
and C/EBPs, but not ROS levels.

Conclusion:

EA+RA induced cell apoptosis through ROS dependent MMP attenuation and caspase 3/7 activation
while inducing differentiation by ROS-MEK/ERK-PU.1/C/EBPs and ROS-Akt-PU.1/C/EBPs pathways. In summary,
it may provide innovative ATRA-based combination therapy strategies for AML patients via ROS.
Is Kidney Stone Associated with Thyroid Disease? The United States
National Health and Nutrition Examination Survey 2007-2018
Authors: Xue Wenya , Xue Zihan , Liu Yanbing , Yin Pan , Liu Luyu , Qu Shen’ao , Wu Shaobo , Yang Chuance
Published: January 2024

Background:

Kidney stones and thyroid disease are two common diseases in the
general population, with multiple common risk factors. The associations between kidney stones
and thyroid disease are unclear.

Aim:

This study aims to assess the association between ‘once had a thyroid disease’ and the
odds of kidney stones.

Methods:

Adult participants from the National Health and Nutrition Examination Survey
(NHANES) 2007-2018 with reliable kidney stone and thyroid disease data were included. Adjusting
for age, gender, race, education level, and marital status, diabetes, hypertension, gout,
angina pectoris, stroke, and asthma, logistic regression was used to examine the relationship
between kidney stones and thyroid illness.

Results:

Using stratified analysis, the association between thyroid illness and kidney stones was
investigated further. Among the participants, 4.9% had kidney stones, and 10.1% had thyroid
disease. Kidney stone was associated with thyroid disease (OR=1.441, (95% CI:1.294-1.604), p
<0.01), which remained significant (OR=1.166, (95% CI:1.041-1.305), p <0.01) after adjustments
with age, gender, race, education level and marital status, diabetes, hypertension, gout,
angina pectoris, stroke, and asthma. Stratified by blood lead, blood cadmium, and blood urea
nitrogen levels in the human body, the odds of kidney stones still increased with once having a
previous thyroid disease.

Conclusions:

In this large nationally representative survey over 10 years, kidney stone was
strongly associated with thyroid disease. In this cross-sectional study, we explored the association
between thyroid disease and kidney stones, which may help clinicians intervene in them
early.
The Expression of Hsa-Mir-1225-5p Limits the Aggressive Biological
Behaviour of Luminal Breast Cancer Cell Lines
Authors: Hernandez Y-Andrés , Gonzalez Janeth , Garcia Reggie , Aristizabal-Pachón Andrés
Published: January 2024

Introduction:

Numerous genetic and biological processes have been linked to the function of microRNAs (miRNAs), which regulate gene expression by targeting messenger RNA (mRNA). It is commonly acknowledged that miRNAs play a role in the development of disease and the embryology of mammals.

Methods:

To further understand its function in the oncogenic process, the expression of the miRNA profile in cancer has been investigated. Despite being referred to as a noteworthy miRNA in cancer, it is unknown whether hsa-miR-1225-5p plays a part in the in vitro progression of the luminal A and luminal B subtypes of breast cancer. We proposed that a synthetic hsa-miR-1225-5p molecule be expressed in breast cancer cell lines and its activity be evaluated with the aim of studying its function in the development of luminal breast cancer. In terms of the typical cancer progression stages, such as proliferation, survival, migration, and invasion, we investigated the role of hsa-miR-1225-5p in luminal A and B breast cancer cell lines.

Results:

Additionally, using bioinformatics databases, we thoroughly explored the target score-based prediction of miRNA-mRNA interaction. Our study showed that the expression of miR-1225-5p significantly inhibited the in vitro growth of luminal A and B breast cancer cell lines.

Conclusion:

The results were supported by a bioinformatic analysis and a detailed gene network that boosts the activation of signaling pathways required for cancer progression.
Fault Feature Mining and Identification Method of 10kV XLPE Cable Combining SAE and RF
Authors: Liu Taibiao , Zhang Jin , Xie Yibing , Zhang Jingkang
Published: January 2024

Background:

Feature extraction methods such as statistical features and image features
based on traditional partial discharge spectrograms require the support of expert experience and
prior knowledge, making their engineering applications have significant limitations. Currently,
electrical equipment fault diagnosis is moving towards intelligent and scientific directions, and
how to apply deep learning methods for more accurate, intelligent, and autonomous diagnosis has
become a hot issue in the current field.

background:

Feature extraction methods such as statistical features and image features based on traditional partial discharge spectrograms require the support of expert experience and prior knowledge, making their engineering applications have significant limitations.

Methods:

The construction and optimal selection of high-voltage cable partial discharge feature
space is an important means to improve recognition accuracy. This paper proposes a new method
that can independently and deeply mine partial discharge image features to quickly identify partial
discharge types. Firstly, a self encoder is used to encode and decode partial discharge images, and
a multi-level stack structure is used to achieve the goal of deep feature mining; then, the partial
discharge data features decoded based on a stack self encoder are imported into a random forest
network for type recognition; Finally, based on the random forest algorithm, the redundant feature
space is optimized and compared with other traditional recognition methods.

Results:

The recognition accuracy of the proposed method is about 10% higher than that of traditional
methods.

Conclusion:

The optimized feature parameters can maintain more than 90% recognition accuracy
in both random forest algorithms, common support vector machines, and BP neural networks,
proving the feasibility and effectiveness of the method in this paper.

result:

The recognition accuracy of the proposed method is about 10% higher than that of traditional methods.
Bile Acid Nanoparticles - An Emerging Approach for Site Specific Drug Targeting
Authors: Suvarna Vasanti , Sawant Niserga , Jadhav Pradnya , Desai Namita
Published: January 2024

:

Bile acids, a group of steroidal acids present in the bile act as biological surfactants and ligands for bile acid transporter proteins for signalling molecules to perform various paracrine and endocrine functions. The enterohepatic circulation of bile acids can be exploited to develop at-tractive drug delivery approaches with improved targetability of facial amphiphiles and enhanced drug bioavailability by improving absorption and metabolic stability. The effectiveness, safety and targetability of nanoparticles conjugated with bile acids and salts have been discussed in the present review. Various modifications of bile acids promoting absorption and oral bioavailability of drugs for treatment of various disease conditions such as cancer, diabetes and psychosis has al-so been discussed. Additionally, neuroprotective effect of bile acids and salts has demonstrated utility in various neurodegenerative disorders. Nanoparticles based on bile acids and salts repre-sent an area of emergent interest due to their unique and modifiable properties for improving ef-fectiveness of drugs.
Manifestation of Psychosis and Impairments of Executive
Functions Emphasize the Interaction of Psychological and
Neurological Dysfunctions in People Who Use Methamphetamine
Authors: Chaidee Nutthika , Kraiwattanapirom Natcharee , Siripornpanich Vorasith , Chetsawang Jirapa , Chetsawang Banthit
Published: January 2024

Aim:

Cumulative evidence has demonstrated the neurotoxic effect of methamphetamine
(Meth) on the central nervous system. Meth can induce psychotic symptoms and
impairments of cognitive abilities, including executive function (EF).

Method:

In this study, we hypothesized the interaction of the neurotoxic effects of Meth
on psychotic symptoms and EF performances. The Stroop test evaluated the EF performances,
Go/No-Go task, one-back test (OBT), and Wisconsin Card Sorting Test (WCST)
in people who use Meth with psychosis (MWP) and without psychosis (MWOP) compared
with healthy control participants.

Result:

The results showed that MWOP and MWP exhibited EF deficits in attention, working
memory, and initial conceptualization. Moreover, a deficit in inhibition was observed in
MWOP, while poorer processing speed and cognitive flexibility were found in MWP.

Conclusion:

The correlation between psychotic symptoms and poor EF performances was
observed in MWP. These findings underline the interaction of the mechanistic neurotoxic effect
of Meth to induce psychological and neurological dysfunctions in people who use Meth.
Effects of Environment-friendly Polymer Composite Modifiers on the Modulus and Pavement Performance of Asphalt Mixtures
Authors: Wang Yu , Liu Wenyi , Chang Xinyue , Zhang Wengang
Published: January 2024

Background:

In the current context of low-carbon environment, it is particularly
important to use waste plastics to prepare modifiers that increase the modulus
of the bituminous mixture.

Objectives:

The study aimed to find out the influence of environment-friendly polymer
composite modifier (E-FPCM) on modulus and pavement performance of bituminous
mixture.

Methods:

The influence of the optimum component E-FPCM on the dynamic modulus
(DM) has been explored. The E-FPCM content’s effect on the rheological properties
of bitumen has been analyzed. Also, the influence of E-FPCM on pavement performance
has been analyzed.

Results:

The degree of influence on SR of bituminous mixture has been in the order of
recycled low-density polyethene (R-LDPE) > aromatic oil > lignin fiber. The optimum
composition of E-FPCM has been found to be 10% aromatic oil, 4.8% C9, 62%
R-LDPE, 7.0% lignin fiber, 0.2% antioxidant 1076, 2% silane coupling agent, and
14% mineral powder. By using E-FPCM with the optimum components, the SBS bituminous
mixture or 90# bituminous mixture has been found to meet the standard of a
high-modulus bituminous mixture (HMBM). E-FPCM has been found to reduce the
phase angle (δ) of bitumen and increase the complex shear modulus (G∗) and rutting
factor [G∗/sin(δ)], which may help improve the rutting resistance (RR).

Conclusion:

E-FPCM is beneficial for improving the RR of the bituminous mixture,
and reasonable content of E-FPCM has a great role in improving the water stability
(WS) and low-temperature crack resistance (LTCR) of the bituminous mixture.
Advancements in Data Augmentation and Transfer Learning:
A Comprehensive Survey to Address Data Scarcity Challenges
Authors: Fayaz Salma , Ahmad Shah Syed Zubair , ud din Nusrat Mohi , Gul Naillah , Assad Assif
Published: January 2024

Deep Learning (DL) models have demonstrated remarkable proficiency in image
classification and recognition tasks, surpassing human capabilities. The observed enhancement
in performance can be attributed to the utilization of extensive datasets. Nevertheless, DL
models have huge data requirements. Widening the learning capability of such models from
limited samples even today remains a challenge, given the intrinsic constraints of small datasets.
The trifecta of challenges, encompassing limited labeled datasets, privacy, poor generalization
performance, and the costliness of annotations, further compounds the difficulty in
achieving robust model performance. Overcoming the challenge of expanding the learning capabilities
of Deep Learning models with limited sample sizes remains a pressing concern even
today. To address this critical issue, our study conducts a meticulous examination of established
methodologies, such as Data Augmentation and Transfer Learning, which offer promising
solutions to data scarcity dilemmas. Data Augmentation, a powerful technique, amplifies
the size of small datasets through a diverse array of strategies. These encompass geometric
transformations, kernel filter manipulations, neural style transfer amalgamation, random erasing,
Generative Adversarial Networks, augmentations in feature space, and adversarial and meta-
learning training paradigms.

:

Furthermore, Transfer Learning emerges as a crucial tool, leveraging pre-trained models to facilitate
knowledge transfer between models or enabling the retraining of models on analogous
datasets. Through our comprehensive investigation, we provide profound insights into how the
synergistic application of these two techniques can significantly enhance the performance of
classification tasks, effectively magnifying scarce datasets. This augmentation in data availability
not only addresses the immediate challenges posed by limited datasets but also unlocks
the full potential of working with Big Data in a new era of possibilities in DL applications.
Vocabulário controlado e folksonomia possíveis aproximações na representação da informação e do conhecimento
Authors: Arias Miguel Ivan Magarzo , Santos Raimunda Fernanda dos , Cervantes Brígida Maria Nogueira
Published: January 2024

This paper aims to reflect on the possible approaches between terminology and folksonomy in information representation and retrieval, also seeking to identify their differences. Through a bibliographic, exploratory and descriptive study with a qualitative approach, a review of both national and international literature covering scientific articles, dissertations, theses and book chapters related to the topic is conducted. In this regard, some studies identified in the literature which compare folksonomy tags with terms from controlled vocabularies in the indexing of information resources suggest that they are not mutually excluding, but complementary. It is concluded that the social tagging systems of folksonomy and controlled vocabularies as terminological products share the common purpose of assisting users in storing and sharing, organizing and retrieving resources of their interest to provide a better informational experience.
A biblioteca pública Benedito Leite, a divulgação dos serviços de informação e as perspectivas de apropriação do patrimônio cultural em São Luís, Maranhão, Brazil
Authors: Costa Maurício José Morais , Luce Bruno Fortes , Bernardino Maria Cleide Rodrigues
Published: January 2024

This study aims to describe how the Benedito Leite Public Library (BPBL) has acted in the socialization of information about its services and products within the scope of the Reference and Information Service (RIS), as well as the perspectives of appropriation of cultural heritage in São Luís (MA), this from a descriptive study, of quantitative and qualitative approach, involving managers, professionals and participants in the educational services of mediation of local heritage. It addresses the Reference and Information Service (RIS) and the appropriation of cultural heritage. It states that the BPBL enhances and connects the Ludovicense population with cultural heritage. It reinforces that the RISprovides the community thecontact with the documents that make up the collections of the libraries and creates activities that favor community growth. It advocates that it is essential to think of Educational Services (ES)as instruments for the perpetuation of memories, propagated by the transmission of collective knowledge of thepast and the future.
Direitos de image, o uso de memes nas redes sociais e a sua apropriação enquanto ferramenta de marketing digital pelas indústrias criativas
Authors: Ribeiro Icaro Machado
Published: January 2024

In this study, we intend to explore the growing influence of social mediaas mass communication platforms, highlighting the proliferation of memes as a common practice of sharing images from third parties to communicate messages, often involving humor and mockery. In addition to the phenomenon as digital entertainment, the texthighlights the strategic use of memes by companies and brands in digital marketing campaigns, aiming to attract the public's attention and establish a connection through humor. The practice of using memes for commercial purposes raises ethical questions about the appropriation of third-party images and the possible violation of the copyright and image rights of those involved. The reflective analysis, as well as the examples brought in this study, aim to contribute to the understanding of this phenomenon and its consequences and impacts on the creative industries.