bluuebunny/crossref_metadata_2025_split huggingface dataset:
FOXQ1 expression in colorectal cancer is associated with tumor location
Authors: Yamano Tomoki , Kubo Shuji , Sonoda Emiko , Kominato Tomoko , Yano Aya , Takenaka Yuya , Son Jihyung , Kimura Kei , Yasuhara Michiko , Babaya Akihito , Kataoka Kozo , Beppu Naohito , Ikeda Masataka , Nishio Kazuto , Tomita Naohiro 
Published: May 2023

Abstract
Oxaliplatin (OHP) is a reagent for the standard treatment of advanced and recurrent colorectal cancer (CRC), although OHP resistance mechanisms are not fully elucidated. We found that HCT116-derived OHP-resistant clones (HCT/OHPs), but not DLD1-derived OHP-resistant clones also were resistant to the other drugs used for CRC treatment (5-fluorouracil, irinotecan, and trifluorothymidine), and HCT/OHP-derived tumors were resistant to OHP treatment. Among the candidate genes derived from microarray analysis using the samples of HCT/OHP cells and HCT/OHP-derived tumors, Forkhead box Q1 (FOXQ1) was further assessed to validate OHP resistance and its association with clinicopathological features. In our 173 cohort and 587 TCGA samples, FOXQ1 was upregulated in most CRC tumors compared to normal colonic mucosa and associated with tumor location of the right-sided colon and KRAS/BRAF mutation status. Possible association with prognosis in advanced CRC in our cohort and with microsatellite instability and advanced stage in TCGA samples were indicated. Modification of FOXQ1 via siRNA knockdown and expression vector could not confirm the involvement of FOXQ1 in OHP resistance. In conclusion, our results indicates that FOXQ1 is upregulated in CRC and FOX1 expression is associated with tumor location and KRAS/BRAF mutation status, but is not involved in the OHP resistance mechanism.
Effect of titanium dioxide nanocoating on the colour stability of room temperature vulcanizing maxillofacial silicone-an invitro study
Authors: K Gopika K , K Harsha Kumar , R Ravichandran , V Prasanth , S Kala , B Jinesh K 
Published: May 2023

Abstract
Objective. The aim of this in vitro study was to evaluate the effect of an oxide nanocoating to prevent colour degradation of maxillofacial silicone elastomers following accelerated ageing.
Material and Methods. Specimens (N = 40) of specified dimensions were fabricated in Factor II room temperature vulcanizing (RTV) silicone and processed according to the manufacturer’s instructions. Two groups were classified with 20 specimens each. Specimens in the first group were coated with titanium dioxide (TiO2) by atomic layer deposition technology. Colour stability test was conducted with a UV-VIS spectrometer (Schimadzu) for both titanium dioxide nanocoated and uncoated specimen groups after subjecting them to accelerated ageing. It was analysed using the CIE L*a*b method.
Results. The average colour change was highest for uncoated specimens (2.868), and the average colour change for titanium dioxide-coated specimens was significantly low (1.774). The average colour change of uncoated specimens (2.868) was close to the acceptable threshold value (3), and that of coated specimens (1.774) was far below the acceptable threshold (3).
Conclusions. The colour change that occurred in titanium dioxide nanocoated specimens following accelerated ageing was significantly lower than that in the uncoated group, showing that the TiO2 nanocoating was effective in reducing the colour degradation of silicone elastomers.
Clinical Relevance. Maxillofacial prostheses fabricated from silicone elastomers go through undesirable colour degradation over time. The development of a scientific technique that retards the colour deterioration of silicone prostheses would be of great clinical significance.
Transfer Learning for Accurate Fetal Organ Classification from Ultrasound Images: A Potential Tool for Maternal Healthcare Providers
Authors: Ghabri Haifa , Alqahtani Mohammed S. , Othman Soufiene Ben , Al-Rasheed Amal , Abbas Mohamed , Almubarak Hassan Ali , Sakli Hedi , Abdelkarim Mohamed Naceur 
Published: May 2023

Abstract
Ultrasound imaging is commonly used to aid in fetal development. It has the advantage of being real-time, low-cost, non-invasive, and easy to use. However, fetal organ detection is a challenging task for obstetricians, it depends on several factors, such as the position of the fetus, the habitus of the mother, and the imaging technique. In addition, image interpretation must be performed by a trained healthcare professional who can take into account all relevant clinical factors. Artificial intelligence is playing an increasingly important role in medical imaging and can help solve many of the challenges associated with fetal organ classification. In this paper, we propose a deep-learning model for automating fetal organ classification from ultrasound images. We trained and tested the model on a dataset of fetal ultrasound images, including two datasets from different regions, and recorded them with different machines to ensure the effective detection of fetal organs. We performed a training process on a labeled dataset with annotations for fetal organs such as the brain, abdomen, femur, and thorax, as well as the maternal cervical part. The model was trained to detect these organs from fetal ultrasound images using a deep convolutional neural network architecture. Following the training process, the model, DenseNet169, was assessed on a separate test dataset. The results were promising, with an accuracy of 99.84%, which is an impressive result. The F1 score was 99.84% and the AUC was 98.95%. Our study showed that the proposed model outperformed traditional methods that relied on the manual interpretation of ultrasound images by experienced clinicians. In addition, it also outperformed other deep learning-based methods that used different network architectures and training strategies. This study may contribute to the development of more accessible and effective maternal health services around the world and improve the health status of mothers and their newborns worldwide.
Prevalence of Rifampicin resistance tuberculosis among presumptive tuberculosis patients in Egypt-2021: A National Health Facility-based Survey
Authors: Amin Wagdy , Gadallah Mohsen , Salah Amal , Rady Mervat 
Published: May 2023

Abstract

Background: The magnitude of MDR-TB cases was noticeable in Egypt. However, the last national survey was 11-years ago. The current survey was conducted to determine the prevalence of rifampicin resistance among sputum smear-positive tuberculosis patients in Egypt.
Methods: A national health facility-based cross-sectional study was conducted in Egypt among presumptive tuberculosis (TB) cases during the period from August 2020 to September 2021. Rifampicin resistance (RR) was detected using the Gene X-pert MTB/RIF. The prevalence of RR was calculated using crude, cluster, and weighted methods. Factors associated with RR were analyzed by bivariate and multivariate techniques.
Results: Among the total 849 presumptive TB patients enrolled in the study, 710 (83.6%) patients were subjected to Gene X-pert testing (MTB/RIF). The crude prevalence of RR was 3.32% (95% CI: 1.89-4.76%) among the new cases and 9.46% (95% CI: 2.63-16.29%) among the retreated cases with an overall estimate of 3.99%; (95% CI: 2.51- 5.47%). By cluster analysis the overall prevalence of RR was 5.01% (95% CI: 2.90–7.13). Factors associated with the prevalence of RR were co-morbidity with bronchial asthma, drug abuse and history of contact with a family member with TB.
Conclusion: The prevalence of RR among either new or retreated cases TB patients was lower than the previous rates in 2010-2012. The strongest predictor associated with RR was comorbidity with bronchial asthma.
The Analysis of Artabotrys hexapetalus Stem Bark and Leaf Ethanol Extract as α-Glucosidase Inhibitor in Relation to Antioxidant Activity, Phenolic, and Flavonoid Contents Using In Vitro Analysis, LC-MS, Machine Learning and Molecular Docking
Authors: Rosa Dela , Elya Berna , Hanafi Muhammad , Khatib Alfi , Halim Yuniwaty , Surya Muhammad Imam 
Published: May 2023

Abstract
Artabotrys hexapetalus is one of Artabotrys species that can be found in Asia, such as Sri Lanka, India, China, Malaysia, Indonesia, and other Southeast Asian countries. This plant is used traditionally as a herbal medicine. The aims of this research were to explore the potential of A. hexapetalus leaf and stem bark ethanol extract to treat type 2 diabetes (T2D) by inhibiting the activity of α-glucosidase, including its relationship with the antioxidant activity, phenolic content, and flavonoid content. The analysis was done using α-glucosidase inhibition assay, DPPH assay, FRAP assay, TPC, TFC, UHPLC-QTOF-MS/MS, and molecular docking analysis. Results showed that stem bark extract had medium strong α-glucosidase inhibitory activity with IC50 value of 47.084 ppm, whereas the leaf extract had weak α-glucosidase inhibitory activity with IC50 value of 104.755 ppm. Random permutation in random forest simulation was used to predict the factors that contribute to the α-glucosidase inhibition. For stem bark, the α-glucosidase inhibition activity was influenced by antioxidant activity and phenolic compounds. Nevertheless, the main active compounds that play role in α-glucosidase inhibition in stem bark were likely from terpene groups. Meanwhile, the active compounds in the leaf extract were likely not antioxidants and did not belong to the phenolic and flavonoid group. Comparisons between various analysis were shown to corroborate the random permutation results.
Clinicohistoradiological and Surgical Outcome in Diffuse Midline Glioma
Authors: Kumar Arvind , Bhattacharjee Suchanda , Uppin Megha S , fathima syed tazeem 
Published: May 2023

Abstract
Purpose
Diffuse midline glioma (DMG) with H3K27M mutation is a rare and aggressive midline high grade glioma with a predominant astrocytic differentiation and K27M mutation in either H3F3A or HIST1H3B/C. This tumor is more common in children than in adults. The current study was aimed to determine clinicohistoradiological and surgical outcome of patients who have undergone surgery for DMG and study disease severity of patients with DMG.
Methods
This is an observational study in which 29 DMG patients were evaluated for clinicohistoradiological and surgical outcomes by assessing the pre and postoperative neurological status.
Result
Survival duration was significantly high in patients with age > 18 years (p = 0.02). Patients who had undergone Radiation Therapy showed higher survival rate (p = 0.05) and the cases with low levels of Ki 67 index had improved post operative outcome. (p = 0.002).
Conclusion
DMG with H3 K27M mutation in newly classified Central Nervous System tumor are WHO grade IV Tumors, comprising H3 K27M mutation as molecular marker for diagnosis and related with a poor prognosis.
The beneficial effect of barley straw extract addition on the growth of two aquatic invasive alien species (Elodea nuttallii and Cabomba caroliniana) under laboratory conditions
Authors: Draga Mateusz , Gąbka Maciej 
Published: May 2023

Abstract
Barley straw has been used around the world for decades as a simple, cost-effective and harmless phytoplankton growth inhibition method. Although the effect of this method on algal blooms is quite well depicted, it has not yet been tested what effect it has on submerged vascular plants and if it could be used to control the spread of alien macrophytes. In this study two highly invasive plant species: Cabomba caroliniana and Elodea nuttallii were exposed to different concentration of the barley straw extract (BSE) in laboratory conditions for the duration of four weeks. In the course of the investigations, responses of 8 traits associated with growth, biomass and chlorophyll concentration of specimens to three dosages (Low, Medium, High) of BSE corresponding to concentrations: 0.03, 0.30 and 1.50 ml l− 1 were analysed. The result showed that although dry mass and total length of the plants did not differ significantly between the test groups, increase in tillering and internodes number was observed for certain concentrations of the extract. This shows that if BSE has any effect on submerged macrophytes it is a positive one and thus the method is not suitable for invasive submerged aquatic plant control. Furthermore, it is recommended that before using barley straw for algae bloom control one should make sure that there are no alien aquatic submerged plants in the area that could benefit from such a treatment.
The warm Arctic-cold North American pattern in CanESM5 large ensemble simulations: Eurasian influence and uncertainty due to internal variability
Authors: Yu Bin , Lin Hai 
Published: May 2023

Abstract
This study examines the warm Arctic-cold North American pattern (WACNA) and its connection with the warm Arctic-cold Eurasia pattern (WACE) using ERA5 reanalysis and a 50-member ensemble of historical climate simulations produced by CanESM5, the Canadian model participated in CMIP6. The results indicate that a negative WACE-like pattern usually precedes a positive WACNA pattern by one month, and that negative Asian-Bering-North American (ABNA) and Pacific-North American (PNA) like circulation patterns appear upstream and precede a positive WACNA. The negative ABNA-like pattern can be attributed to anomalous heating in southern Siberia, which is associated with the negative WACE pattern and its featured Eurasian warming. The negative PNA-like pattern is influenced by negative SST anomalies in the tropical Pacific, resembling tropical ENSO variability. Anomalous temperature advection in the lower troposphere follows the circulation anomaly, which supports the formation of WACNA. Conversely, processes with circulation anomalies of opposite sign result in a negative WACNA pattern. The tropical ENSO variability does not significantly impact the WACNA pattern and its linkage with WACE. CanESM5 simulates the WACNA pattern and WACE-WACNA connection well, with differences mainly in the anomalous magnitude between model simulations and ERA5. The uncertainty in the simulated WACNA pattern due to internal climate variability is dominated by two modes of inter-member variability: a southeast-northwest phase shift and a local variation in amplitude.
Neutrophil-to-Lymphocyte ratio, Monocyte-to-Lymphocyte ratio, Platelet-to-Lymphocyte ratio associated with 28-day mortality in sepsis patients with coronary artery disease
Authors: Li Xicong , Chen Yubiao , Yuan Qi , Zhou Hongya , Lu Lifei , Guo Ruiwei 
Published: May 2023

Abstract

Background High Neutrophil-to-Lymphocyte Ratio (NLR), Monocyte-to-Lymphocyte Ratio (MLR), Platelet-to-Lymphocyte Ratio (PLR) were associated with worse prognosis of sepsis patients, but the relationship between NLR, MLR, PLR and mortality in sepsis patients with coronary artery disease (CAD) remains unclear. The purpose of this study was to explore the association between NLR, MLR, PLR and 28-day mortality in sepsis patients with CAD, and to evaluate diagnostic accuracy combining sequential organ failure assessment (SOFA) scores.Methods Our study was based on cross-sectional and 28-day in-hospital data obtained from the MIMIC-III database between 2008 and 2012. Clinical characteristics and laboratory test data has been collected from hospitalization record. The relationship between NLR, MLR, PLR and 28-day mortality in sepsis patients with CAD was examined using the Cox proportional hazards model. We applied Receiver operating characteristic (ROC) analysis for predicting 28-day mortality in sepsis patients with CAD by combining NLR, MLR and PLR with the sequential organ failure assessment SOFA scores.Results This study included 984 sepsis patients with CAD in total. Sepsis patients with CAD who had high NLR, MLR, and PLR had a higher risk of 28-day mortality. (All P < 0.05). The AUCs of NLR, MLR, PLR, and SOFA score were 0.609, 0.606, 0.594 and 0.676, respectively. Combining NLR, MLR, and PLR with SOFA scores increased the diagnostic accuracy of predicting 28-day mortality (AUC: 0.703).Conclusion High NLR, MLR and PLR were associated with 28-day mortality in sepsis patients with CAD.
Forest Fire Distribution Standard in the South of Amazonas State
Authors: Lemos Natasha Souza Araújo , Cunha Jose Mauricio , CAMPOS MILTON CESAR COSTA , Filho Elilson Gomes Brito 
Published: May 2023

Abstract

Forest fires represent a major threat to the Amazon rain forest as their frequency and intensity have increased over the years. In addition to causing the death of trees and animals, causing the loss of its biodiversity, fires throw a dense cloud of pollutants into the atmosphere. Faced with this worrying reality, a research activity was undertaken covering the southern region of the state of Amazonas, comprising the cities of Apuí, Boca do Acre, Canutama, Humaitá, Lábrea, Manicoré and Novo Aripuanã, with the objective of analyzing the spatial- temporal occurrence of forest fire risks in the period between 2009 and 2019. The study area is part of the 'Arc of deforestation' - a region recognized as a border between agricultural activities and the Amazon Forest and also, due to the intense use of fire in these activities. Due to the extension of the analysis area, satellite data was used as tools for the identification and mapping of areas subject to fires, allowing the identification of those that burn the most and when they occur. From the space-time analysis, it was found that among the analyzed municipalities, Lábrea leads the records of hotspots, followed by Apuí, Manicoré, Novo Aripuanã and Boca do Acre. The municipalities of Canutama and Humaitá are the ones with the lowest records. The years 2013, 2011 and 2009 (in ascending order) are the years with the fewest records of hotspots, while the years 2019, 2017, 2015, 2010, 2018 and 2016 (in descending order) are noteworthy for their records. of active hotspots above 10,000/year. Weather events such as El Niño act as a potentiator of fire risk, as they cause a decrease in precipitation and an increase in temperature. Even though there is no record of climatic phenomenon and with volumes of accumulated precipitation above 2,300 mm/year, the last four years analyzed stand out for their increasing behavior in the number of hotspots. Thus, through the use of remote sensing techniques, geoprocessing and the use of surface data, a fire risk map was generated for the municipalities in the south of the state of Amazonas, indicating that the areas with the highest risk of burning are those at the along highways, settlement projects and their surroundings that encompass public and/or private lands.
Research on dual-transmission cross-shaped microcavity metamaterials in the mid-infrared region
Authors: Li Teng , Ren Yu , Zhou Jianwei , Wang Tingting , Sun Peng , Ji Boyu , Cai Hongxing , Qu Guannan 
Published: May 2023

Abstract
Mid-infrared detection technology is widely used in military and civilian applications with its unique advantages. The filter is the core component of the mid-infrared detection system, realizing controllable modulation of its dual-band transmission peak is an important prerequisite for optimizing detector performance. In this paper, a cross-shaped microcavity structure metamaterial based on gold material is designed to achieve mid-infrared dual-band transmission. By changing the width of the microcavity and the width of the gap, the controllable modulation of the dual-band transmission peaks is achieved, corresponding to the dual-band ranges of 3.23 ~ 3.46 µm and 4.06 ~ 4.60 µm. The maximum transmission of the resonant transmission peaks λI and λII can reach 94.5% and 92.6%, respectively. The corresponding FOM is up to 17.70. This study provides a theoretical basis for the preparation of dual-band transmission filters in the mid-infrared band.
Computational modelling of the separation of molten polymer blends by a centrifugal technique
Authors: Medvid V. , Steiner H. , Irrenfried C. , Feuchter M. , Brenn Günter 
Published: May 2023

Abstract
Computational modelling of a centrifugal technique for separating binary mixtures of thermoplastic polymers in the molten state is presented. The technique may be useful for the recycling of polymeric materials. The study investigates the physical process of component separation due to the centrifugal force in a batch process, showing the potential of using a dispersed model for describing the complex mechanism underlying the technique. Given the long time scales of change of the flow field, the polymer melts are modelled as inelastic, shearthinning materials. The centrifugal force drives the component with the higher density to the outer region of an annular cross section occupied by the melt inside a rotating containment. The model system PET/LDPE is investigated in detail. The simulations allow to predict the process time needed for the separation. The simulations are the basis for studying a continuous process in a rotating tube.
Ab-initio Simulations of Coherent Phonon-Induced Pumping of Carriers in ZrTe5
Authors: Jiang Tao , Orth Peter , Luo Liang , Wang Lin-Lin , Zhang Feng , Wang Cai-Zhuang , Zhao Jin , Ho Kai-Ming , Wang Jigang , Yao Yong-Xin 
Published: May 2023

Abstract
Laser-driven coherent phonons can act as modulated strain fields and modify the adiabatic ground state topology of quantum materials. We use time-dependent first-principles and effective model calculations to simulate the effect of a strong terahertz electric field on electronic carriers in the topological insulator ZrTe5. We show that a coherent A1g Raman mode modulation can effectively pump carriers across the band gap, even though the phonon energy is about an order of magnitude smaller than the equilibrium band gap. We reveal the microscopic mechanism of this effect which occurs via Landau-Zener-Stu¨ckelberg tunneling of Bloch electrons in a narrow region in the Brillouin zone center where the transient energy gap closes when the system switches from strong to weak topological insulator. The quantum dynamics simulation results are in excellent agreement with recent pump-probe experiments inZrTe5 at low temperature.
Optimization and evaluation of the Weather Research and Forecasting (WRF) model for wind energy resource assessment and mapping in Iran
Authors: Saadatabadi Abbas Ranjbar , Hamzeh Nasim Hossein , Kaskaoutis Dimitris G. , Ghasabi Zahra , Penchah Mohammadreza Mohammadpour , Habibi Maral 
Published: May 2023

AbstractThe main purpose of this study is to optimize the Weather Research and Forecasting (WRF) model regarding the choice of the best planetary boundary layer (PBL) physical schemes and to evaluate its performance for wind energy assessment and mapping in Iran. For this purpose, five PBL and surface layer parameterization schemes were tested and their performance was evaluated via comparison with observational wind data. Then the model was run for seventeen years (2004–2020) in order to assess the model's ability to estimate the wind energy production in Iran. Although no specific PBL scheme showed the best performance in all situations and stations, the asymmetrical convection model version 2 (ACM2) PBL scheme was considered as the one with the best performance on an annual basis. On the other hand, the quasi-normal scale elimination (QNSE) PBL scheme showed better performance over cold seasons, while the ACM2 scheme exhibited less uncertainty in the warm periods. It was also found that the WRF model errors depend on the horizontal resolution of the terrain data used and that WRF performance is weaker in simulating wind speeds below 3 ms− 1and above 10 ms− 1. Overall, by comparing WRF simulations with wind observations in Iranian areas where wind farms are currently in operation, it is concluded that WRF enables to provide accurate and reliable wind speed and direction data for realistic wind energy assessment studies in Iran. WRF model results showed that the Sistan Basin in the eastern part of Iran presents the highest wind energy capacity and the aeolian potential is also high in southwest Iran during summer and along the Zagros Mountains.