bluuebunny/crossref_metadata_2025_split huggingface dataset:
Recent Advances in Biodecontamination of Aflatoxins in Foodstuffs:
Using Biomass (2011-2021)
Authors: Massoud Ramona , Sharifan Anousheh 
Published: December 2022

Background:
Aflatoxin is one of the most hazardous toxins produced by Aspergillus
spp. and contaminates animal feed and therefore human food. Aflatoxin exposure causes several
health problems including liver, kidney, and intestine disorders for human beings. Therefore, an
efficient decontamination method for food stuff seems essential.

Objective:
The aim of this mini-review was to go over the recent advances in the decontamination
of aflatoxins in foodstuffs and explain the bio-removal methods based on microorganisms
during the last decade.

Methods:
Literature research was performed using the keywords “aflatoxin”, “bio removal”,
“decontamination”, “food”, and “biomass” individually or all together, in Scopus, Web of Science,
and Pubmed in the last decade.

Results:
LABs and yeasts are the most useful and successful microorganisms in this field. These
methods are very efficient, specific, environmentally friendly, and cost-effective, also they do
not affect the nutritional value of the foodstuffs, unlike the physical or chemical techniques. The
bio-removal methods contain aflatoxin adsorption and degradation.

Conclusion:
Although more studies and researches are required to evaluate the different types of
toxin removal using various microorganisms and their practical aspects and the highest efficiency
should be determined.
The Diagnostic Accuracy of Different MRI Sequences for Different
Meniscus Lesions: A Meta-analysis
Authors: Jhonatan Felix Young , Li Kun , Chen Jinhua , Zhou Liyu , Yang Huilin , Huang Lixin , Du Jun 
Published: December 2022

Background:
It is still uncertain to determine the exact diagnostic accuracy of MRI for medial
meniscus (MM) tear, lateral meniscus (LM) tear and MM posterior root tear (MMPRT) at different
magnetic field intensities (MFIs), different sequences and different publication dates. This study aimed
to identify the diagnostic performance of MRI for different meniscus lesions at different MFIs, different
sequences and different publication dates, and also to compare it with physical examination.

Methods:
PubMed, Embase, Ovid database, Biosis Previews, Cochrane library, Web of Sciences and
manual searching were performed from 1 January 2000 to 31 December 2021. Prospective studies of
meniscus injuries examined by physical examination, MRI and arthroscopy were included.

Results:
Thirteen studies with 1583 meniscal tears were included. The pooled sensitivity, specificity,
positive likelihood ratio (LR+), negative likelihood ratio (LR-), diagnostic odds ratio (DOR) and area
under curve (AUC) were 87% (95% confidence interval (CI), 86-89%), 82% (80-83%), 7.44 (5.11-
10.75), 0.18 (0.14-0.23), 45.95 (26,68-79.15) and 0.93, respectively. The pooled specificity between
MM and LM (p = 0.015), the pooled sensitivity and LR- between MM and MMPR (p = 0.031), different
MRI sequences (p = 0.035, p = 0.027), and the accuracy of less than 1.5T and 3.0T (p = 0.04), 1.5T
and 3.0T (p = 0.035) were statistically different. There was no publication bias (p = 0.54).

Conclusion:
MRI performed well in the diagnosis of MM tear, LM tear and MMPRT, and the diagnostic
performance of physical examination is similar to MRI. The diagnostic accuracy of 3.0T is the
highest, and the -weighted imaging (SWI) sequence may be beneficial for diagnosing meniscus tear.
However, there are not enough evidence to prove that recent studies are significantly better than previous
ones.
Construction of a Combined Hypoxia-related Genes Model for Hepatocellular
Carcinoma Prognosis
Authors: Ren Liping , Pan Xianrun , Ning Lin , Gong Di , Huang Jian , Deng Kejun , Xie Lei , Zhang Yang 
Published: December 2022

Background:
Hepatocellular carcinoma (HCC) is the most common liver malignancy
where tumorigenesis and metastasis are believed to be tied to the hallmarks of hypoxia and tumor
microenvironment (TME).

Methods:
In this study, to investigate the relationships among hypoxia, TME, and HCC prognosis,
we collected two independent datasets from a public database (TCGA-LIHC for identification,
GSE14520 for validation) and identified the hypoxia-related differentially expressed genes
(DEGs) from the TCGA data, and the univariable Cox regression and lasso regression analyses
were performed to construct the prognosis model. An HCC prognosis model with 4 hypoxiarelated
DEGs ("NDRG1", "ENO1", "SERPINE1", "ANXA2") was constructed, and high- and
low-risk groups of HCC were established by the median of the model risk score.

Results:
The survival analysis revealed significant differences between the two groups in both
datasets, with the results of the AUC of the ROC curve of 1, 3, and 5 years in two datasets indicating
the robustness of the prognosis model. Meanwhile, for the TCGA-LIHC data, the immune
characteristics between the two groups revealed that the low-risk group presented higher levels of
activated NK cells, monocytes, and M2 macrophages, and 7 immune checkpoint genes were found
upregulated in the high-risk group. Additionally, the two groups have no difference in molecular
characteristics (tumor mutational burden, TMB). The proportion of recurrence was higher in the
high-risk group, and the correlation between the recurrence month and risk score was negative,
indicating high-risk correlates with a short recurrence month.

Conclusion:
In summary, this study shows the association among hypoxic signals, TME, and
HCC prognosis and may help reveal potential regulatory mechanisms between hypoxia, tumorigenesis,
and metastasis in HCC. The hypoxia-related model demonstrated the potential to be a
predictor and drug target of prognosis.
Functional Roles of Mesenchymal Stem Cell-derived Exosomes in Ischemic Stroke
Treatment
Authors: Farzaneh Maryam , Khoshnam Seyed Esmaeil 
Published: December 2022

Abstract:
Stroke is a life-threatening disease and one of the leading causes of death and physical disability
worldwide. Currently, no drugs on the market promote neural recovery after stroke insult, and spontaneous
remodeling processes are limited to induce recovery in the ischemic regions. Therefore, promoting
a cell-based therapy has been needed to elevate the endogenous recovery process. Mesenchymal stem
cells (MSCs) have been regarded as candidate cell sources for therapeutic purposes of ischemic stroke,
and their therapeutic effects are mediated by exosomes. The microRNA cargo in these extracellular vesicles
is mostly responsible for the positive effects. When it comes to the therapeutic viewpoint, MSCsderived
exosomes could be a promising therapeutic strategy against ischemic stroke. The aim of this review
is to discuss the current knowledge around the potential of MSCs-derived exosomes in the treatment
of ischemic stroke.
Recent Emerging Trend in Stem Cell Therapy Risk Factors
Authors: Pourjabbar Bahareh , Shams Forough , Moghadam Maryam , Ahani-Nahayati Milad , Azari Arezo , Sefat Farshid , Keshel Saeed Heidari 
Published: December 2022

Abstract:
Different types of stem cells have remarkable characteristics such as high proliferation rate,
multi/pluripotency, self-renewal, and broad differentiation that can effectively treat diseases, cancers, and
damage. Despite abundant therapeutic applications of stem cells in medical science, numerous risks
threaten stem cell transplantation. Tumor development, immune response, cellular senescence, dosage
effects, and administration timing are critical risks that should be considered in stem cell therapy. Hence,
an investigation of possible risks is required before utilizing stem cell-based medicinal products in the
clinical phase and human trials. This review aims to survey the literature and perspectives on the advantages
and risks associated with pluripotent and multipotent stem cells.
Organizational Preventative Strategies Undertaken by Dental Clinics in Fiji during COVID-19 Pandemic: A Qualitative Study
Authors: Kajal Kartika , Mohammadnezhad Masoud 
Published: December 2022

Aim:This research aims to determine the organizational preventative strategies implemented by dental clinics in Fiji during the COVID-19 pandemic.Methods:This qualitative study was conducted amongst Dental Officers (Dos) and Dental Managers (DMs) who were working at government dental clinics, private dental clinics, and the School of Dentistry and Oral Health clinic (SDOH), in the Central Division, Fiji. A semi-structured open-ended questionnaire was used for data collection through in-depth interviewsviazoom. A manual thematic analysis of the data was conducted.Results:Thirty Dos and 17 DMs participated in this study. 16 themes emerged from data analysis: Major Strategies implemented, Staff perception about strategies in place, Triaging and Screening, Hand hygiene, Waiting room changes, Operational Capacity, Universal precautions, Personal Protective Equipment (PPEs), Disinfection and decontamination protocols, Ventilation, Sterilization, Pre-procedural mouth rinse, Waste management, Vaccination status, Bubbles and Adaptation of Protocols. The Dos were generally satisfied with the strategies implemented by the DMs. The DMs along with other Dos had used various guidance documents to devise tailor-made ones suited for dental clinics in Fiji.Conclusion:Various strategies were adopted from several guidelines and tailor-made Standard Operating Procedures (SOPs) for each workplaces were developed by the various DMs. The majority of Dos were in favor of and satisfied with the protocols in place. Future research can be conducted in other divisions and include other health care professionals as well apart from just Dos and DMs.
Typical and Atypical Errors made by Color Normal and Defective Observers on Printed Pseudoisochromatic Color Vision Tests
Authors: Alduhayan Reema , Almustanyir Ali 
Published: December 2022

Background:
Pseudoisochromatic color vision tests are commonly used to screen for color vision deficiency (CVD). Although most color vision normal (CVN) individuals read all plates correctly, a remarkable proportion have errors.

Objective:
This study aimed to determine the typical and atypical error responses to the Ishihara and Waggoner PIP24 (W-PIP24) tests of CVN and CVD individuals.

Methods:
This study recruited 59 CVN and 63 congenital red-green CVD individuals. Participants were tested with the Ishihara and W-PIP24 tests. The participants’ responses were recorded, and typical and atypical errors were determined.

Results:
The rate of atypical errors in the CVN group was 21% in the Ishihara test and 9% in the W-PIP24 test, while those in the CVD group were 100% and 60%, respectively. The CVN and CVD groups tended to have more atypical errors on the Ishihara test than on the W-PIP24 test. Moreover, CVD individuals tended to have more atypical errors in the transformation plates in both tests.

Conclusion:
CVN individuals may misread the plates in the Ishihara and W-PIP24 tests for reasons other than the normality of color vision; therefore, counting only typical errors may eliminate the chance of CVN individuals misreading the number on the plates. The most significant finding of this study was that clinicians should perhaps only consider typical errors as “errors” on both tests.
Professional Quality of Life and Fear of Covid-19 Moderated by Perceived Job Market Outlook: Predicting Registered Nurse Turnover Intentions in South Florida During the Covid-19 Pandemic
Authors: Barron David A. , Gold Andrew , Hale Charles 
Published: December 2022

Background:
The nursing shortage and the aging of the nursing workforce is a growing concern for health care institutions. Understanding nurses attitudes toward turnover intentions is a crucial step to develop effective policies and maintain nurse staffing continuity.

Objective:
This research aims to study the impact of the Professional Quality of Life and Fear of COVID-19 moderated by perceived Job Market Outlook on South Florida registered nurses by predicting turnover intentions.

Methods:
From March to August, 2021, 202 registered nurses from seven South Florida counties completed the self-reporting Professional Quality of Life, Fear of COVID-19, and perceptions of Job Market Outlook surveys when predicting turnover intentions in a quantitative nonexperimental predictive correlational design research study.

Results:
Results showed that in the professional quality of life, burnout significantly predicted (p <.001) registered nurses (n=202) turnover intentions during the COVID-19 pandemic. Secondary traumatic stress, compassion satisfaction and fear of COVID-19 did not significantly predict registered nurses’ turnover intentions. Hierarchical regression analysis confirmed burnout is significantly more predictive than no model of turnover intentions accounting for more variance at 15.45% (p < .001). Perceived job market outlook did not moderate between the independent variables and the dependent variable turnover intentions.

Conclusion:
This research reveals the deleterious impact of burnout in the registered nurses’ professional quality of life and turnover intentions warranting the need for health care institutions and nursing leadership to collaborate on the needs of the nursing workforce on a micro and macro level.
Capacity Maximization in Cell Free Massive MIMO Network with Access
Point Selection Method
Authors: Sheikh Tasher Ali , Deekshitha Settyvari , Shalini Neerugatti , Indira Puliyalam , Rajasekaran Subramaniam , Borah Janmoni 
Published: December 2022

Background:
Cell Free massive MIMO, containing a very large number of distributed access
points (APs), which is a promising technology to provide high data rate, spectral efficiency (SE),
and energy efficiency (EE). The system performance of cell-free M-MIMO is maximum when selecting
optimal access points (AP) from the large number of APs. The linear precoding methods of zeroforcing
(ZF) and minimum mean square error (MMSE) are utilized in this study because they are devoid
of self-interference and so improve the system capacity.

Objective:
The objective of this study is to maximize the system data rate in a cell-free M-MIMO
network.

Method:
To maximize the system data rate, the maximum channel gain-based Access Point Selection
(MCGAPS), Distance based Access Point Selection (DAPS), and Random-Access Point Selection
(RAPS) algorithms are used to pick access points (APs) in a cell-free M-MIMO network. Because the
MCGAPS algorithm selects those APs with the highest channel gain, the system’s rate is improved.

Result & Discussion:
The DAPS algorithm is used to choose the closest APs to the user. The APs
were randomly chosen using RAPS. Random user selection (RUS) algorithm schedules the same
number of users.

Conclusion:
It is observed that the DAPS and RUS algorithms jointly improve the system rate significantly
in cell-free massive MIMO system compared to the other proposed algorithms.
Visible Light-promoted Synthesis of Bioactive N, N-heterocycles
Authors: Majhi Sasadhar , Saha Ipsita 
Published: December 2022

Abstract:Heterocycles are a valuable type of structural motifs which occupy a major space in the area of medicinal, pharmaceutical, and bioactive natural product chemistry as well as synthetic organic chemistry. Most frequently, nitrogen heterocycles represent a highly significant type of compounds that are extensively employed in agrochemistry, materials science, and synthesis of bioactive complex molecules and it also has a profound role in modern drug design. Among N-heterocycles, bioactive N, N-heterocycles play a crucial role in the drug discovery and development process. Benzimidazoles, oxadiazoles, pyrazoles, pyrazolines, pyridazines, pyrimidines, thiadiazoles, triazoles, etc. are important classes of N, N-heterocycles due to their significant physiological and biological activities as well as versatile synthetic utility. For example, compounds containing an oxadiazole core such as phidianidines A and B display cytotoxicity. Zibotentan including 1,3,4-oxadiazole and pyrazine skeletons was accepted for the treatment of prostate cancer by the FDA, and cefozopran (SCE-2787) comprising 1,2,4-thiadiazole core is a powerful commercial antibiotic. So, there is continuing considerable attention to the improvement of efficient, convenient, and eco-friendly synthetic protocols for the formation of pharmaceutically relevant N,N-heterocycles. In this context, visible light-assisted synthesis of bioactive N,N-heterocycles has a great impact on sustainable development as it constitutes a clean, renewable, and abundant energy source, as well as its encouraging application in industry. Hence, this review aims to deal with the understanding of the visible light-promoted synthesis of bioactive N,N-heterocycles and further stimulate the development of more new relevant strategies.
Transformer Fault Diagnosis Method based on PSO-GMNN Model
Authors: Li Yaping , Li Yuancheng 
Published: December 2022

Background:
Oil-immersed distribution transformer is an important power transmission
and distribution equipment in the power system. If it fails, it will cause huge economic losses and
safety hazards. It is of great significance to identify and diagnose its faults, find potential faults in
time, and restore normal operation.

Objective:
To detect transformer fault, a transformer fault diagnosis method based on Graph Markov
Neural Networks for Particle Swarm Optimization algorithm (PSO-GMNN) is proposed.

Methods:
Five common dissolved gases in transformer oil are used to construct a 22-dimensional
feature set to be selected, and then the similarity between each feature vector is calculated by using
Mahalanobis Distance. The graph structure is constructed with feature vectors as vertices and similarities
as edges. Finally, the Particle Swarm Optimization algorithm is used to optimize the initial
weights of Graph Markov Neural Networks, and then transformer fault diagnosis is realized.

Results:
The experiments are performed in the environment of Python 3.7, PyTorch 1.6.0, and the
validity of the proposed method is verified by a comparative analysis of the detection accuracy between
the proposed method and existing mainstream methods.

Conclusion:
A transformer fault diagnosis method based on Graph Markov Neural Networks for
Particle Swarm Optimization algorithm is proposed to detect transformer fault, and the experimental
results demonstrate the effectiveness and advantage of the proposed method.
Managing the Digital Socio-Political Agenda Online: Subjects, Technologies, and Results
Authors: Ryabchenko Natal'ya , Malysheva Ol'ga , Uskov Sergey 
Published: December 2022

The aim of the study is to identify and characterize the actors, factors, technologies and results of managing the online social and political agenda and to propose models of its management to public authorities. The model of online agenda, developed by the authors, was tested on the empirical data of the ‘Constitution’ case. The empirical basis for the study of the digital agenda (March–September 2020) was 1,150 million messages on Twitter and Facebook, the news content (5,000 publications) of the major national agencies Interfax, RIA Novosti and TASS, and the accounts of 460,000 users.
To identify technological methods of building and managing the socio-political agenda on the Internet and assess their effectiveness, the authors used methods of network, visual and linguistic analysis (content analysis, semantic analysis of hashtags in the obtained arrays of empirical data).
As a result, conclusions were made on three strategies to manage the online agenda: the stra­tegy of engagement (expanding the range of issues covered and equal emphasis on a variety of topics to involve more participants in the discourse); the strategy of pragmatic modelling (narrowing the range of issues covered with uneven emphasis on topics, i.e. maintaining a focus only on certain concepts of issues covered); strategy of discursive substitution (complete transformation of the digital socio-political and political ‘Constitution’ agenda and its replacement with other connected topics).
The study revealed the intersections and divergences between the discourse shaped by civil society and the official media, and, as a result, revealed the content and vectors that shape the online socio-political agenda. Obviously, the existence of divergent vectors in the digital socio-political agenda, especially in crisis and emergency situations, prevents social and political system stabilization and civil society mobilization for constructive social practices.
Solidarity-based Financing of Health Care Access for the Poor Patients at the University Hospital Point G, Bamako, Mali
Authors: COULIBALY Issa , COULIBALY Cheick Abou , TRAORE Sylvestre , SANGARE Modibo , SANGARE Sékou , MAIGA Saibou 
Published: December 2022

Introduction: Almost half of the world's populations do not have access to basic health care. This exclusion mainly affects people living in rural areas, who are nevertheless the most susceptible to diseases. The Medical Assistance Plan allows a marked improvement in access to healthcare by poor patients. It eliminates out of pocket healthcare cost, which normally prevents most of them from accessing health care. Materials and methods: This study was aimed to investigate the accessibility to healthcare for poor patients at the University Hospital Point G. We conducted a 12-month descriptive cross-sectional study from March 2018 to April 2019. Data entry and analysis were performed using SPSS version 21.0. Results: Our study participants we interviewed were aged 30-44 years old in 30.7%, female in 60.7%, and housewives in 46.7%. Our interviewees consulted for consulted for chronic diseases in 79.3%, had no monthly income in 78.7% and obtained the healthcare benefits at no cost to them in 60.7%. The prescriptions costed between 5,000 and 15,000 FCFA in 51.1%, 20252 FCFA on average with a standard deviation of 1340 FCFA. In sum, 59 out of our 150 patients who were eligible for free healthcare had to pay for a contribution either a subsidized cost in 84.7% or a partial purchase in in 15.3%. Conclusion: The main barriers to healthcare were the chronicity of their diseases and the expensiveness of the healthcare due the level of poverty in the country.
Keywords: Solidarity financing, Access to healthcare, poor, CHU Point G / Mali