bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effect of Picochlorum on water quality, shrimp production and microbial community in the culture of Litopenaeus vannamei
Authors: meng gao , Chen Zhao , Wang Yuzhen , Tian Chen , Li Jian 
Published: March 2024

Abstract
To evaluate the effects of Picochlorum on shrimp culture, Picochlorum was added to the culture system of Litopenaeus vannamei at concentrations of 1×104cells/mL(KH_1), 2×104cells/mL(KH_2) and 4×104cells/mL(KH_4), and three culture systems with no Picochlorum addition were set up as control group(KH_D) . The water quality, diversity of microalgae community, growth performance and immune-related enzyme activities of shrimp were monitored in each treatment group.
The results showed that, all three treatment groups with Picochlorum addition were effective in removing total ammonia nitrogen (TAN), nitrite, phosphate,and chemical oxygen demand (COD) from culture water compared to the control group. KH_4 had the best water purification effect among the three treatment groups. At the end of the experiment, TAN, nitrite, phosphate and COD contents of KH_4 were 0.75 mg/L, 1.41 mg/L, 0.76 mg/L, and 8.2 mg/L, respectively, which decreased by 89.85%, 78.17%, 50.00%, and 63.28%, respectively, compared to KH_D.
High-throughput sequencing analysis showed that the absolute dominant genus in the microalgae communities of KH_1, KH_2 and KH_4 were all Picochlorum, with relative abundances of 70.03%, 71.69% and 95.65% respectively, and were significantly higher than that in KH_D (p<0.05). The absolute dominant microalgae in KH_D was Isochrysis (69.59%). The addition of Picochlorum had a significant impact on the microalgae community diversity structure in the shrimp farming system.
The superoxide dismutase (SOD) activities of shrimp in KH_D,KH_1,KH_2 and KH_4 groups were 88.50 U/mg prot,116.58 U/mg prot,157.57 U/mg prot,152.23 U/mg prot,and the lysozyme (LZM) activities were 29.48 U/mg prot,34.47 U/mg prot,47.17 U/mg prot, 51.22 U/mg prot.The activities of both enzymes were increased by 31.73%-78.05% and 16.93%-73.74% in the experimental group of Litopenaeus vannamei (KH_1, KH_2, KH_4) compared to KH_D, respectively. The enzyme activities and growth performance of Litopenaeus vannamei in KH_2 and KH_4 were significantly better than that in KH_D (P < 0.05).
In summary, the addition of Picochlorum can improve the shrimp culture water environment and promote shrimp growth, which is a feasible solution for shrimp aquaculture environmental control.
Nasal Food Challenge with hen`s egg white allergen
Authors: Krzych-Fałta Edyta , Namysłowski Andrzej , Białek Sławomir , Czerwińska Monika E. , Furmańczyk Konrad , Tylewicz Aleksandra , Sybilski Adam , Samoliński Bolesław , Wojas Oksana 
Published: March 2024

Abstract

Background
Nasal allergen provocation tests are an important part of the diagnostics of allergic diseases triggered by environmental factors. Recently, increased attention has been paid to the potential use of this method in the diagnosis of food allergy. The objective of the study was to evaluate the usefulness of the nasal allergen provocation test in a group of subjects allergic to hen`s egg white allergens.
Methods
The material consisted of a group of 57 subjects (32 subjects with hen`s egg white allergy and 25 healthy controls). The method consisted in a nasal allergen provocation test carried out with the use of hen`s egg white allergen and assessed using the visual analog scale and optical rhinometry as well as by determination of sIgE and tryptase levels in nasal lavage fluid.
Results
Subjective nasal symptoms and objective evaluations following the application of 100 µg of hen`s egg white allergen revealed a moderately positive nasal mucosal response in optical rhinometry tests (ΔE = 0.34 OD).
Conclusions
Nasal food challenge with hen`s egg white allergen is a good diagnostic alternative in the group of food allergy patients. Due to the insufficient number of studies carried out so far, further attempts at standardization of the method are required.
SGK1 contributes to endothelial cell ferroptosis in coronary heart disease through the NEDD4L/NF-κB pathway
Authors: Peng Yong , Jiang Yu , Zhou Qingfeng , Jia Zheng , Tang Han 
Published: March 2024

Abstract
The prevalence of coronary heart disease (CHD) has increased significantly with the aging population worldwide. It is unclear whether ferroptosis occurs during CHD. Hence, we aimed to investigate the potential mechanisms associated with ferroptosis in CHD. Bioinformatics was used to characterize differentially expressed genes (DEGs) in CHD-related datasets (GSE21610 and GSE66360), and enrichment analysis was performed via protein‒protein interaction (PPI) network analysis. Proteins that interact with SGK1 as predicted by the String database. Flow cytometry and western blot analysis revealed alterations in lipid peroxidation, Fe accumulation, and ferroptosis-related marker expression in MAECs following lentivirus-mediated modulation of SGK1 and NEDD4L expression. A total of 76 and 689 DEGs were involved in pathways associated with immune and inflammatory responses, respectively. DDX3Y, EIF1AY, KDM5D, RPS4Y1, SGK1, USP9Y, and NSG1 showed intersecting DEGs. The differences in the number of circulating endothelial cells (ECs) between healthy individuals and CHD patients are consistent with the results of bioinformatics analysis. SGK1 may interact with NEDD4L and promote NEDD4L and p-P65 expression in MAECs according to the String database. Additionally, SGK1 knockdown alleviated the Erastin-induced downregulation of SLC7A11, GPX4, GSH, and GSSG, as well as the upregulation of lipid peroxidation, Fe accumulation, p-P65 expression, and mitochondrial damage. NEDD4L and PMA (NF-κB pathway activator) were rescued with overexpression. SGK1 contributes to EC ferroptosis by regulating the NEDD4L-NF-κB pathway. SGK1 could be recognized as a therapeutic target related to ferroptosis in CHD.
The Effect of Distance on Audiovisual Temporal Integration in an Outdoor Virtual Environment
Authors: Fucci Victoria , Krol Pelle , Plaisier Myrthe , Cuijpers Raymond H. 
Published: March 2024

Abstract

In this study, we explore the influence of stimulus distance on human tolerance for (physical) asynchronies in virtual reality (VR). A repeated audiovisual (AV) stimulus with sound and light bursts was presented to the participants in an outdoor virtual environment (VE) using a head-mounted display (HMD). The investigation focused on quantifying the point of subjective simultaneity (PSS) for both visual and auditory stimuli. A synchrony judgment method (SJ-3) was used for 11 stimulus onset asynchronies (SOA) and five egocentric distances from 10 m up to 50 m with 10 m increments. The data analysis showed negative PSS values that decreased with distance, resulting in a negative slope (-3 ms/m) of the regression line between PSS values and simulated distances. In contrast to our previous study in the indoor VE \citep{vfucci}, we conclude that the presented study in the outdoor VE does not incorporate a distance compensation mechanism and refutes the hypothesis of an "implicit estimation" of sound-arrival time. The reasons behind the observed contrast are discussed in this paper. Moreover, the negative slope of the regression line (-3 ms/m) is similar to the previous research by \citet{lewald_guski_2004}, who concluded that there is simply a temporal integration of auditory-visual information within human neural processes without distance compensation.
Saline lakes of Transbaikalia (Russia): Limnology and diversity of plankton communities
Authors: Afonina Ekaterina , Tashlykova Natalya , Borzenko Svetlana 
Published: March 2024

Abstract

The paper summarises the results of a three-year research study (Russian Science Foundation grant: 22-17-00035) aimed at investigating the variability of chemical composition and the species diversity and functional structure of planktonic communities in saline lakes of Transbaikalia (Russia). According to the ionic content, the lakes were classified either as soda (13 lakes), chloride (3 ones), and sulphate (2 ones) types. Water salinity ranges widely, from 0.5 to 334.5 g/L in soda lakes, from 8.2 to 257.8 g/L in chloride ones, and from 21.3 to 146.8 g/L in sulphate ones. In all lakes the cation Na+ dominated, with its concentration increasing as the salinity of the water rises. An increase in salinity, accompanied by a sequential change in the chemical types and subtypes of lakes, led to an excess of bioavailable forms of nitrogen and phosphorus. Diversity and density of phytoplankton and zooplankton depent both to an increase in the total salt content and to the anionic composition of water. Salinity constrains species composition and functional diversity and leads to changes in trophic structure and density of some aquatic organisms. We determined two assemblages of aquatic organisms: Anabaenopsis knipowitschii and Brachionus angularis prefering sulphate dominated habitats and Limnospira fusiformis, Ascomorpha ecaudis, and Hexarthra mira commonly associating with carbonate dominated habitats.
Modification and Bioactivities of Polysaccharide extracted from Mangifera Indica gum (Mango)
Authors: Farid Samina , Nazir Shaista 
Published: March 2024

Abstract
Natural polysaccharides own properties like biocompatibility, biodegradability, nontoxic and inexpensive material, gaining attention for biomedical applications. Mangifera indica gum is an excellent source of polysaccharides. The present research is aimed to investigate the impact of modification on polysaccharides extracted from Mangifera indica gum. Polysaccharide extracted from Mangifera indica gum was subjected to modification through the acrylamide grafting method to enhance the functionality of natural polysaccharide. It was noted that for 100 grams of dried mango gum, 12 grams of modified polysaccharide and 15 grams of crude polysaccharide were produced. Characterization techniques such as FTIR was used to determine the functional groups on the structure of polysaccharide. The surface morphology and crystalline structure were elucidated from SEM, EDX, and XRD. The antioxidant and antibacterial activity of native and modified polysaccharides was studied. The results thus obtained were statistically analyzed and reported. The modification of native polysaccharides was expected to find low antioxidant activity after modification but gum polysaccharides did not show any antibacterial activity against Escherichia coli, Pseudomonas sp., Bacillus sp., and Staphylococcus aureus in both native and modified polysaccharides.
Experimentation of the IFAST Technique for DNA Extraction using Two Different Methods
Authors: Butt Saad , Faisal Muhammad , Sajid Hammad Ali 
Published: March 2024

Abstract
Purpose Immiscible filtration assisted by surface tension (IFAST) is a microfluidic technique that uses the principle of surface tension for the extraction of analytes such as nucleic acids, proteins, and metabolites. This immiscible phase filtration technique was tested via two different cost-effective methods.Methods Two cost-effective methods for applying the IFAST technique were developed and the procedures were compared for effectiveness. These methods involved the use of plastic canvas and Eppendorf tubes for device fabrication and DNA extraction.Results In the first method, several challenges are faced, which are discussed in this research, where plastic canvas is used instead of expensive materials such as polydimethylsiloxane (PDMS). On the other hand, the air-jump method is better for DNA extraction because of the new approach of using Eppendorf tubes for IFAST.Conclusion Applying the IFAST technique using the air-jump method is a relatively more robust, economical and effective method than the use of a plastic canvas device.
Experimentation of the IFAST Technique for DNA Extraction using Two Different Methods
Authors: Butt Saad , Faisal Muhammad , Sajid Hammad Ali , Shabbir Muhammad Imran 
Published: March 2024

Abstract
Purpose Immiscible filtration assisted by surface tension (IFAST) is a microfluidic technique that uses the principle of surface tension for the extraction of analytes such as nucleic acids, proteins, and metabolites. This immiscible phase filtration technique was tested via two different cost-effective methods.Methods Two cost-effective methods for applying the IFAST technique were developed and the procedures were compared for effectiveness. These methods involved the use of plastic canvas and Eppendorf tubes for device fabrication and DNA extraction.Results In the first method, several challenges are faced, which are discussed in this research, where plastic canvas is used instead of expensive materials such as polydimethylsiloxane (PDMS). On the other hand, the air-jump method is better for DNA extraction because of the new approach of using Eppendorf tubes for IFAST.Conclusion Applying the IFAST technique using the air-jump method is a relatively more robust, economical and effective method than the use of a plastic canvas device.
An estimate on red mud waste management to diversify the Jamaican economy
Authors: Williams Jullian C.B. , Williams Rudyard 
Published: March 2024

Abstract
Red mud waste is a residual product from the processing of bauxite to extract aluminum. This waste product is an iron rich clay that is also laden with rare earth element (REE) materials. The use of red mud clay is not limited to rare earths but has also been proposed for building material such as bricks and cement mix. Industrial materials undergo a series of stress and strain testing and standard proctor tests to determine the integrity of the building material mix. However, estimating the available volume of material for procurement is necessary for economic pursuits. As the bauxite mining industry in Jamaica produces more red mud waste, the available building material increases. Therefore, it is useful to estimate the total volume of red mud clay for industrial development.
In this study, we use remote sensing techniques to quantify the volume of material in the Windalco residual lake in Manchester, Jamaica. We observe the residual pit using advanced measurements from satellite instruments to improve land surveying and investment protection.
Monitoring domestic water consumption: a comparative study of model-based and data-driven end-use disaggregation methods
Authors: Pavlou Pavlos V. , Filippou Stylianos , Solonos Solon , Vrachimis Stelios G. , Malialis Kleanthis , Eliades Demetrios G. , Theocarides Theocharis , Polycarpou Marios M. 
Published: March 2024

ABSTRACT
Monitoring the water usage of different appliances and informing consumers about it has been shown to have an impact on their behavior toward drinking water conservation. The most practical and cost-effective way to accomplish this is through a non-intrusive approach, that locally analyzes data received from a flow sensor at the main water supply pipe of a household. In this work, we present two different methods addressing the challenges of disaggregating end-use consumption and classifying consumption events. The first method is model-based (MB) and uses a combination of dynamic time wrapping and statistical bounds to analyze four water end-use characteristics. The second, learning-based (LB) method is data-driven and formulates the problem as a time-series classification problem without relying on a priori identification of events. We perform an extensive computational study that includes a comparison between an MB and an LB method, as well as an experimental study to demonstrate the application of the LB method on an edge computing device. Both methods achieve similar F1 scores (LB: 71.73%, MB: 71.04%) with the LB being more precise. The embedded LB method achieves a slightly higher score (72.01%) while enhancing on-site real-time processing, improving security and privacy and enabling cost savings.
Role of Multi-parameter-based Cardiac Magnetic Resonance in the Evaluation
of Patients with Coronary Heart Disease Combined with Heart Failure
Authors: Yu Ying , Liao Bihong , Zhang Jingjing , Zou Jin , Deng Jia , Liu Jiaqi , Wang Gang , Li Yueyan , Qian Fengcui , Huang Hong , Wang Qiuyu , Tian Jinwei , Tang Huifang 
Published: March 2024

Background::
Coronary Heart Disease (CHD) is one of the most common types of cardiovascular disease, and Heart Failure (HF) is an important factor in its
progression. We aimed to evaluate the diagnostic value and predictors of multiparametric Cardiac Magnetic Resonance (CMR) in CHD patients
with HF.

Methods::
The study retrospectively included 145 CHD patients who were classified into CHD (HF+) (n = 91) and CHD (HF–) (n = 54) groups according to
whether HF occurred. CMR assessed LV function, myocardial strain and T1 mapping. Multivariate linear regression analyses were performed to
identify predictors of LV dysfunction, myocardial fibrosis, and LV remodeling

Results::
CHD (HF+) group had impaired strain, with increased native T1, ECV, and LVM index. The impaired strain was associated with LVM index (p <
0.05), where native T1 and ECV were affected by log-transformed amino-terminal pro-B-type natriuretic peptide (NT-proBNP) levels. ROC
analysis showed the combination of global circumferential strain (GCS), native T1, and LVM had a higher diagnostic value for the occurrence of
HF in CHD patients.
Meanwhile, log-transformed NT-proBNP was an independent determinant of impaired strain, increased LVM index, native T1 and ECV.

Conclusion::
HF has harmful effects on LV systolic function in patients with CHD. In CHD (HF+) group, LV dysfunction is strongly correlated with the degree
of LV remodeling and myocardial fibrosis. The combination of the three is more valuable in diagnosing HF than conventional indicators.
Design and Development of Hypertuned Deep learning Frameworks for
Detection and Severity Grading of Brain Tumor using Medical Brain MR
images
Authors: Bhardwaj Neha , Sood Meenakshi , Gill Sandeep Singh 
Published: March 2024

Background::
Brain tumor is a grave illness causing worldwide fatalities. The current detection methods for brain tumors are manual, invasive, and rely on
histopathological analysis. Determining the type of brain tumor after its detection relies on biopsy measures and involves human subjectivity. The
use of automated CAD techniques for brain tumor detection and classification can overcome these drawbacks.

Objective::
The paper aims to create two deep learning-based CAD frameworks for automatic detection and severity grading of brain tumors – the first model
for brain tumor detection in brain MR images and model 2 for the classification of tumors into three types: Glioma, Meningioma, and Pituitary
based on severity grading.

Methods::
The novelty of the research work includes the architectural design of deep learning frameworks for detection and classification of brain tumor
using brain MR images. The hyperparameter tuning of the proposed models is done to achieve the optimal parameters that result in maximizing the
models' performance and minimizing losses.

Results::
The proposed CNN models outperform the existing state of the art models in terms of accuracy and complexity of the models. The proposed model
developed for detection of brain tumors achieved an accuracy of 98.56% and CNN Model developed for severity grading of brain tumor achieved
an accuracy of 92.36% on BraTs dataset.

Conclusion::
The proposed models have an edge over the existing CNN models in terms of less complexity of the structure and appreciable accuracy with low
training and test errors. The proposed CNN Models can be employed for clinical diagnostic purposes to aid the medical fraternity in validating
their initial screening for brain tumor detection and its multi-classification.
The Effect of Circulating Exosomes Obtained from Young and Old
Individuals on the Aging related hTERT and P16 Expression in
Hematopoietic Stem Cells
Authors: Farrokhi Vida , Afrisham Reza , Soleimani Masoud , Ahmadvand Mohammad , Mousavi Seyed Hadi , Kashanikhatib Zahra , Owchi Somayeh , Mohammadali Fatemeh , Alizadeh Shaban 
Published: March 2024

Introduction:
Functional reduction of telomeres can induce DNA damage response
through cell cycle checkpoints and contribute to the senescence of stem cells. The effect of exosomes
on the aging and rejuvenation of hematopoietic stem cells (HSCs) is not well known. Therefore, the
present study is designed to examine the impact of plasma exosomes derived from young and old
individuals on hTERT and P16 expression involved in the cellular aging process.

Methods:
Exosomes isolated from four young (Y-Exo) and four old (O-Exo) men were evaluated for
CD63 protein expression, morphology, size and zeta potential. HSCs were treated with exosomes,
and then, the cell viability and the mRNA expression (hTERT and P16) were evaluated using MTT
and qRT-PCR methods, respectively. To measure the hTERT protein level, a western blot technique
was performed.

Results:
The gene expression of hTERT was significantly decreased in HSCs treated with 5 μg/ml
(O5-Exo) and 10 μg/ml (O10-Exo) doses of exosomes obtained from elderly individuals compared to
the cells treated with young exosomes and the untreated HSCs (p < 0.05). In addition, there was a
profound elevation of hTERT protein in the HSCs treated with both doses of young exosomes in
comparison with the cells treated with both doses of old exosomes (p < 0.05). Moreover, P16 expression
was markedly upregulated in the O5-Exo and O10-Exo groups compared to the untreated group
(p < 0.05).

Conclusion:
Our findings reinforce the concept that depending on the age of individuals, circulating
exosomes may acquire properties that affect the pathways involved in the aging process in HSCs.
Gender Issues in Digital Financial Literacy and Financial Behavior among Millennials
Authors: Febrianty Febrianty , Yuliansyah Yuliansyah , Hamzah Ruth Samantha , Annisa Mutiara Lusiana 
Published: March 2024

AbstractThe study examines the effect of digital financial literacy on financial behavior which is proxied by spending and saving behavior. In particular, this study investigates the role of gender differences in the dependency relationship between digital financial literacy on financial behavior. The population was undergraduate students of the Faculty of Economics, Sriwijaya University, Indonesia. We employed the snowball sampling method and obtained 136 respondents as samples. Ordinary Least Square and Pairwise Comparisons were used to test the hypotheses. The results show that digital financial literacy has a positive and significant effect on spending behavior and saving behavior, respectively. Moreover, there is a difference between men and women in the effect of digital financial literacy on spending behavior. Nevertheless, it is found that there is no difference between men and women in the effect of digital financial literacy on saving behavior. Keywords:Digital Financial Literacy, Spending Behavior, Saving Behavior, Financial Behavior, Gender, Millennials