bluuebunny/crossref_metadata_2025_split huggingface dataset:
Nature-friendly Approach to Environmental Pollution: Biological Removal of Dispersed Yellow 4G Dye by mixed fungi cell-CaAlj-PVA
Authors: Mayanja Kassim , Onac Canan , Akdogan Hatice Ardag , Kaya Ahmet 
Published: December 2023

Abstract

The
study investigated the biological removal of dispersed yellow 4G
dye in different concentrations by four types of fungi cells.
Firstly, the study determined two fungi species, Morchella
esculenta and Trametes versicolor, with the highest biological
removal rate, by examining their enzyme activities for laccase and
MnP, as well as the biological removal of dyestuff by the free
fungi cells. After 120 hours of testing, the biological removal of
dye in different concentrations by M. esculenta and T.
versicolor in their free forms was 85.86, 83.67, 72.18, 70.38,
60.76, and 84.66, 83.12, 79.37, 67.54, 60.35%, respectively. Next,
the study prepared a mixture of the fungi cells with the highest
biodegradation rate, and then examined enzyme activity and
biological dyestuff removal, firstly with the free fungi cell
consortium and then with the calcium alginate-PVA-immobilized cell
mixture. Within 120 hours, using immobilized M.esculenta and T.
versicolor cell mixture, dispersed yellow 4G dye in different
concentrations was degraded by 96.24, 88.37, 85.40, 75.72, and
59.36%, respectively. With the free M.esculenta and T.
versicolor cell consortium, degradation rates of 92.47, 85.61,
63.46, 43.72, and 38.36% were observed. These results showed that
immobilized cells were more suitable for the biological removal of
dispersed yellow 4G dyestuffs. During the study, the roles of
laccase and manganese peroxidase enzyme activity control were
examined, to investigate whether dispersed 4G dyestuff was
biologically degraded by the fungus cells. The study also varied
the concentration of dye to investigate its effect on the
performance of the fungal cells.
Venetoclax triggers sub-lethal apoptotic signaling in venetoclax-resistant acute myeloid leukemia cells and induces vulnerability to PARP inhibition and azacitidine
Authors: Heckman Caroline , Tambe Mahesh , Kriegbaum Mette , Vänttinen Ida , Olgac Ezgi June , Kontro Mika , Wennerberg Krister 
Published: December 2023

Abstract
Venetoclax plus azacitidine treatment is clinically beneficial for elderly and unfit acute myeloid leukemia (AML) patients. However, the treatment is rarely curative and relapse due to resistant disease eventually emerges. Since no current clinically feasible treatments are known to be effective at the state of acquired venetoclax resistance, this is becoming a major challenge in AML treatment. Studying venetoclax-resistant AML cell lines, we observed that venetoclax induced apoptotic signaling and DNA damage even though cell survival and growth was unaffected. This effect appeared to be due to venetoclax inducing limited mitochondrial outer membrane permeabilization. Based on these results, we hypothesized that the sub-apoptotic effect induced by venetoclax could constitute a vulnerability in venetoclax-resistant AML cells. This was supported by screens with a broad collection of drugs, where we observed a synergistic effect between venetoclax and PARP inhibition in venetoclax-resistant cells. Additionally, the venetoclax-PARP inhibitor combination prevented the acquisition of venetoclax resistance in treatment naïve AML cell lines. Furthermore, the addition of azacitidine to the venetoclax-PARP inhibitor combination enhanced venetoclax induced DNA damage and exhibited exceptional sensitivity and long-term responses in the venetoclax-resistant AML cell lines and samples from AML patients that had clinically relapsed under venetoclax-azacitidine therapy. In conclusion, we mechanistically identify a new vulnerability in acquired venetoclax resistant AML cells and identify PARP inhibition as a potential therapeutic approach to overcome acquired venetoclax resistance in AML.
SRRM2 is a target for the immunotherapy of AML with rationally designed CAR-T cells
Authors: Zhang Wanqiu , Fan Mengmeng , Gao Zhimai , Wang Huiping , Guo Jingjin , Li Qian , Liang Xue , Tao Qianshan , Gong Siqi , Xiao Hao , Li Cong , Zhai Zhimin 
Published: December 2023

Abstract
Background: Acute myeloid leukemia (AML) is a highly aggressive hematological malignancy that necessitates innovative treatment strategies to improve patient outcomes. The chimeric antigen receptor T cell immunotherapy (CAR-T) has emerged as a groundbreaking approach in immunotherapy; however, the lack of an optimal target antigen remains a significant impediment for CAR-T in its application to AML treatment. The nuclear speckle marker, serine/arginine repetitive matrix 2 (SRRM2), encompasses multiple disordered domains and its dysfunction is implicated in various human diseases.
Methods: We tested the expression of SRRM2 antigen on peripheral blood cells and bone marrow cells AML patients. The clinical data of patients collected for studying the correlation between SRRM2 expression and clinical parameters. Then, a chimeric antigen receptor (CAR) containing a SRRM2-specific single-chain variable fragment, in combination with CD28, 4-1BB costimulatory domains, and CD3-ζ signaling domain was developed. LDH release assay was used to evaluate the in vitro cytotoxicity of the SRRM2 CAR-T cells. An AML mouse model of SKM-1 was established to evaluate the in vivo anti-leukemic activity of the SRRM2 CAR-T cells
Results: In this study, we have observed the presence of SRRM2 expression on the cellular membrane. The membrane-expressed SRRM2 is elevated in AML patients and AML cell lines, particularly in individuals and cell lines harboring fms-like tyrosine kinase 3 (FLT3) gene mutations, making it an optimal target for CAR-T therapy. Then we designed and constructed a CAR, which targets SRRM2, involved the incorporation of SRRM2-specific single-chain variable fragments (ScFv), CD28 and 4-1BB costimulatory domains, as well as CD3-ζ signaling domains. The functionality of SRRM2 CAR-T cells was further investigated, revealing their specific cytotoxicity against SRRM2+ AML cell lines and enhanced potency against FLT3-mutant cells. In vivo SRRM2 CAR-T therapy of AML mice demonstrated the remarkable safety and efficacy profile.
Conclusion: These results support that SRRM2 CAR-T represents a promising immunotherapy for the treatment of AML.
Establishment of teaching and training model for transesophageal echocardiography based on swine
Authors: ZHAO Yamei , Zhou Xiao , LIU Hanyu , WANG Zhenhong , YIN Jialin , WEI Haiyan , GE Yali , SHI Hongwei , CHEN Lihai 
Published: December 2023

Abstract

The education programs for transesophageal echocardiography (TEE), which plays significant roles in various surgical procedures, in China is currently limited to stimulation system and in-hospital patients. Although, existing TEE simulators have become increasingly sophisticated, the use of animal models retains significant advantages in terms of enabling dynamic cardiac monitoring. The aim of this study is to develop a better teaching and training program for TEE and establish baseline values for the porcine animal model. The thorough TEE examinations were conducted in 10 domestic porcine weighing 45-60kg according to ASA guideline for TEE. All the recommended views were explored and saved. The depth and angles of each view were recorded. Additionally, hemodynamic measurements were performed and recorded. All parameters were compared with human reference values. The porcine model is feasible to initiate a teaching model, and TEE baseline values were acquired for more development in the experimental porcine model.
Optimal Processing of Single-Channel Sparker Marine Seismic Data
Authors: Nasif Aslihan 
Published: December 2023

Abstract

Single-channel sparker seismic reflection systems are currently preferred in offshore geo-engineering studies due to their cost-effectiveness, ease of use in shallow areas, their high-resolution data, and straightforward data processing. However, the distinctive characteristics of sparker data introduce specific challenges in the processing of single-channel seismic datasets. These include (i) unavailability of the stacking process for single-channel seismic data, which is highly effective in eliminating random and coherent noise, (ii) inability to derive subsurface velocity distribution from single-channel seismic profiles, (iii) limitations imposed by ghost reflections and bubble effects as well as random noise amplitudes, and (iv) the suitability of only predictive deconvolution for suppressing multiple reflections. Applications demonstrate that the inability to apply the stacking process to single-channel seismic data poses a significant challenge in suppressing both random and coherent noise, and increasing the signal-to-noise (S/N) ratio. The F-X prediction filter has proven highly effective in mitigating random noise in sparker data. Appropriate determination of operator length and prediction lag parameters allows predictive deconvolution to effectively suppress multiple reflections, despite some residual multiple amplitudes in the output. Spiking deconvolution significantly eliminates ghost reflections and bubble effects, enhancing temporal resolution by eliminating the ringy appearance of the input signal. However, transforming the source wavelet to its minimum phase or zero phase equivalent is essential prior to deconvolution. Trace mixing is a crucial data processing step for enhancing sparker data resolution. The method can be applied as weighted mix for random noise suppression or as trimmed mix for suppressing high-amplitude spike-like noises.
CD3 high expression via M1 macrophages in Diabetic Patients treated with Metformin
Authors: Majidi Ghazal , Sheikhalizadeh Zahra , Majidi Misagh , Hakimzadeh Zahra , Shotorbani Babak Sandoghchian , shotrobani siamak sandoghchian 
Published: December 2023

Abstract
Introduction:
Diabetes is categorized into types I and II, and the occurrence of type II is notably higher compared to type I. Type 2 diabetes is responsible for over 90% of patients with diabetes mellitus (DM). Immunometabolism researches have recently uncovered that Pancreas inflammation has been introduced as an important part of the type 2 diabetes pathogenesis and etiology and β-cell dysfunction in T2DM could be caused by a more intricate network of interactions between the various molecular pathways and environmental factors. The aim of this study is evaluated the CD3 expression via the M macrophages and proinflammatory cytokines in PBMC cells in Diabetic patients.
Material and Methods
The whole blood cells were taken from 40 diabetic patients with main criteria. The mononuclear cells were isolated via Trizol. The techniques which employed for present study are Real Time PCR, Immunoflorecanc, Flowcytometry and ELISA.
Results
The result of Treated cells with NTZ and metformin showed that the NTZ can enhanced the M0 and M2 expression with 20% deference from metformin. the macrophages in Metformin groups secreted higher levels of IL-1 and IL-6 on 24 hours after treated. The results showed that the CD3 expression was increased in metformin group compare with NTZ group.
Conclusion
Present study concluded that the metformin can increase the CD3 expression in diabetic patients via the enhancing of M1 expression and proinflammatory cytokines. In addition NTZ can increase the M2 expression in 24 hours after treating the cells but don’t have ability to increase the proinflammatory cytokines expression like Metformin.
In situ photocatalytic strain evolution of a single Au nanoparticle in Au/TiO2 heterostructures
Authors: Lee Joonseok , Park Sunghyun , Kim Sukyoung , Park Jae Whan , Kim Seunghee , Cha Wonsuk 
Published: December 2023

Abstract

Photocatalysis is a promising technique due to its capacity to efficiently harvest solar energy and its potential to address the global energy crisis. However, the structure-activity relationships of photocatalyst during wavelength-dependent photocatalytic reactions remains largely unexplored because it is difficult to measure under operating conditions. In this study, for the first time, we investigate the photocatalytic strain evolution of a single Au nanoparticle (AuNP) supported on TiO2 film by combining three-dimensional (3D) Bragg coherent X-ray diffraction imaging with an external light source. The wavelength-dependent generation of reactive oxygen species (ROS) had significant effects on the structural deformation of the AuNP, leading to its strain evolution. Density functional theory (DFT) calculations are employed to rationalize the induced strain caused by the adsorption of ROS on the AuNP surface. These observations provide valuable insights of how the photocatalytic activity impacts on the structural deformation of AuNP, contributing to the general understanding of the atomic-level catalytic adsorption process.
Shape influence of β-MnO2 on catalytic activity in the oxygen reduction reaction in alkaline media
Authors: Cruz-Reyes Iván , Trujillo-Navarrete Balter , Félix-Navarro Rosa María , Paraguay-Delgado Francisco 
Published: December 2023

Abstract
The catalytic activity of the oxygen reduction reaction (ORR) is important in energy conversion devices. Transition metal oxides have been identified as promising alternatives. Rutile-phase β-ΜnO2 nanostructures were produced using the hydrothermal method. The nanostructures were in the form of rods, and their hierarchical architecture to those resembling a dandelion flower were compared. The microstructural surface was examined through scanning electron microscopy (SEM) and transmission electron microscope (TEM), the Rietveld refinement technique, and surface area analysis, while the oxidation states were determined using X-ray Photoelectron Spectroscopy-Ultraviolet Photoelectron Spectroscopy (XPS-UPS). Both nanostructures were evaluated as catalysts for the ORR in alkaline environments. The results suggest that introducing shape increased the specific surface area and the Mn4+/Mn3+ ratio. This change can be attributed to the observed microstructural changes. The ORR was facilitated by a four-electron mechanism, increasing current density. This enhancement was observed in nanocrystalline β-MnO2, as well as in rod-shaped and dandelion-shaped structures. The production rates of H2O2 were determined using a rotating ring-disk electrode (RRDE). Hydrogen peroxide (H2O2) production was less than 20% in dandelion structures compared to β-MnO2 nanorods. This study enhances our understanding of β-ΜnO2 catalysts and highlights their significant potential in energy conversion, particularly in alkaline anion-exchange membrane fuel cells (AEMFCs).
Plasma exosome microRNA-155-3p expression in patients with metastatic renal cell carcinoma treated with immune checkpoint inhibitors: a potential biomarker of response to systemic therapy
Authors: Soleimani Maryam , Thi Marisa , Janfaza Sajjad , Ozcan Gizem , Ozgun Guliz , Maurice-Dror Corinne , Eigl Bernhard , Chi Kim , Kollmannsberger Christian , Nappi Lucia 
Published: December 2023

Abstract
Predictive biomarkers of response to immune checkpoint-based therapies (ICI) remain a critically unmet need in the management of advanced renal cell carcinoma (RCC). The complex interplay of the tumour microenvironment and components of the circulating immune response has proven to be challenging to decipher. MicroRNAs have gained increasing attention for their role in post-transcriptional gene expression regulation, particularly because they can have immunomodulatory properties. We evaluated the presence of immune-specific exosomal microRNAs in the plasma of patients with metastatic RCC (mRCC) prior to initiation of ICI. We found significantly lower levels of microRNA155-3p (miR155) in responders to ICI, when compared to non-responders. This microRNA has unique immunomodulatory properties, thus providing potential biological rationale for our findings. Our results support further work in exploring microRNAs as potential biomarkers of response to immunotherapy.
Optimizing Sustainability: A Deep Learning Approach on Data Augmentation of Indonesia Palm Oil Products Emission
Authors: Tahyudin Imam , Tikaningsih Ades , Suryana Yaya , Nugroho Hanung Adi , Nurhopipah Ade , Sasongko Nugroho Adi , Bejo Agus , Lestari Puji , Yanuar Ahmad Ismed 
Published: December 2023

Abstract
Life Cycle Assessment (LCA) is a widely used methodology for quantifying the environmental impacts of products, including the carbon footprint. However, conducting LCA studies for complex systems, such as the palm oil industry in Indonesia, can be challenging due to limited data availability. This study proposes a novel approach called the Anonymization Through Data Synthesis (ADS-GAN) based on a deep learning approach to augment carbon footprint data for LCA assessments of palm oil products in Indonesia. This approach addresses the data size limitation and enhances the comprehensiveness of carbon footprint assessments. An original dataset comprising information on various palm oil life cycle stages, including plantation operations, milling, refining, transportation, and waste management. The number of original data is 195 obtained from the Sustainable Production Systems and Life Assessment Research Centre of Indonesia's National Innovation Research Agency (BRIN). To measure the performance of prediction accuracy, this study used regression models: Random Forest Regressor (RFR), Gradient Boosting Regressor (GBR), and Adaptive Boosting Regressor (ABR). The best-augmented data size is 1000 data. In addition, the best algorithm is the Random Forest Regressor, resulting in the MAE, MSE, and MSLE values are 0.0031, 6.127072889081567e-05, and 5.838479552074619e-05 respectively. The proposed ADS-GAN offers a valuable tool for LCA practitioners and decision-makers in the palm oil industry to conduct more accurate and comprehensive carbon footprint assessments. By augmenting the dataset, this technique enables a better understanding of the environmental impacts of palm oil products, facilitating informed decision-making and the development of sustainable practices.
Effect of Counseling Model on Diabetic Women Regarding Sexual Dysfunction: A quasi-experimental study
Authors: Abdelkhaliek Nermen Awad Atia , Ramadan Soad Abdelsalam , Ibrahim Seham Shehata , Ramadan Maha , Elhoda Nour 
Published: December 2023

Abstract

Background: Complications of diabetes in women have adverse effects on their self-image, quality of life, health, and other social relationships, thereby leading to sexual dysfunction. maternity nurse care can play a critical role in assessing the knowledge about needs for sexual health.
Aim: The present study aims to evaluate the effect of the counseling model on female patients with diabetes regarding sexual dysfunction.
Method: A quasi-experimental research design was used to conduct the study at the diabetic and obstetric outpatient clinic in 2 hospitals (Al Salam Port Said General Hospital, Elzohor General Hospital), and in five centers in Port Said City (El-Kuwait Center, Othman Ibnafan Center, El-arab 1 center, El-manakh center, El-arab2 center). A purposive sample of 178 female diabetic patients was included in the study. Two tools were used for collecting data consisted of; (1 interview questionnaire sheet) including personal characteristics, medical history, and present sexual problem of the studied female patients, (and 2 female sexual function index (FSFI).
Results: the current study revealed that there was a high statistical difference between female sexual function in post with mean ±SD (23.3±4.1) compared to pre-educational intervention with mean±SD (19.5±3.7), while there was a high statistically significant difference among pre--& &-- post program application regarding female sexual function index (p>0.001).
Conclusion: the counseling model had a positive effect in improving the sexual function among female patients with diabetes.
Trial Registration Number (TRN)
The study protocol was approved by the Research Ethics Committee of the Faculty of Nursing, Port Said University (code number: NUR 12/9/2021-6).
Evaluating the dynamics of digital technology in enhancing overall effectiveness of China's national innovation systems: A study based on VHSD and EM approach
Authors: Chen Wei , Song Hong-Ti 
Published: December 2023

Abstract
Along with the gradual entry of the world into the digital era, digital technologies have flourished and have been silently integrated into the innovation processes of technology research and development, transformation, application, and diffusion. In the countries' efforts to establish and strengthen national innovation systems (NIS), the development of digital technologies has received increasing attention. It has become a key driving force for the optimal growth and effective operation of national innovation systems. This study quantitatively assesses the overall effectiveness of China's national innovation system (NIS) using data from 30 provinces in China from 2012 to 2022, employing the Vertical and Horizontal Scatter Degree Method (VHSD), Entropy Method (EM), and coupled coordination models, and examines the external impact, internal mechanism and spatial heterogeneity of the development of digital technologies on the overall effectiveness of national innovation systems in the light of the characteristics of the digital era. The study results show spatial aggregation in the overall effectiveness of national innovation systems, with regions with high overall effectiveness clustering and areas with low overall effectiveness clustering. Second, the development of digital technology improves the overall effectiveness of national innovation systems, which is confirmed by endogeneity treatment and various robustness tests. Third, digital technology improves the overall effectiveness of national innovation systems by promoting the development of a service-oriented industrial structure and active labor market. Fourth, the impact of digital technologies on the overall effectiveness of national innovation systems is spatially heterogeneous. It is less pronounced in the Northeast and East but very significant in the Central and West, and the main reasons for this counterfactual result can perhaps be explained in terms of both diminishing marginal effects and policy tilting effects. Finally, this study not only gives corresponding policy recommendations but also further discusses the dilemmas and challenges that may be encountered in implementing these policies.
Quantitative Evaluation of Birds’ Microhabitat Selection in Urban Waterfront Environments: A Case Study on Typical Waterfronts in Hangzhou
Authors: Lin Zheru , Huang Yan , Wang Xiaoshen , Li Tianjie 
Published: December 2023

Abstract
In highly-modified urban waterfront environments, birds’ habitats are often disturbed by human activities. Hangzhou City is located on a major bird migration corridor in East Asia, with a variety of habitats and a large population within the metropolitan area, where a large number of bird species breed and live. To determine the ecological niche requirements and microhabitat preferences of nesting bird species in urban environments, this study investigated habitat requirements and preferences of birds in highly-modified waterfront environments in Hangzhou during three seasons (winter, spring, summer) in 2022 and 2023. Field surveys were conducted to assess the proportions of different nesting habitat types and microhabitats utilised by bird communities. Data analysis showed that tree nests and building nests were the most common nesting habitat types, whereas arbour and grass were the most important microhabitats for birds’ foraging behaviour. The study also compared the observed foraging and nesting behaviour with the ecological niche requirements of bird species. Correlation between Euclidean distance to waterfronts and the number of birds is found by linear regression. It highlights the importance of considering the ecological niche requirements and microhabitat preferences of birds when planning and designing urban waterfronts and promoting urban ecological conservation.