bluuebunny/crossref_metadata_2025_split huggingface dataset:
Complete wastewater discoloration by a novel peroxidase source with promising bioxidative properties
Authors: Klanovicz Natalia , Stefanski Fábio Spitza , Camargo Aline Frumi , Michelon William , Treichel Helen , Teixeira Antonio Carlos Silva Costa 
Published: January 2022

Abstract
BACKGROUND
Our study aimed to characterize and prospect immobilization strategies for a novel fungal peroxidase - POD (EC 1.11.1.7) and to insert it in the context of pollutant remediation, since these compounds pose risks to human and environmental health. The enzymatic extract was obtained by submerged fermentation of the fungus Trichoderma koningiopsis in an alternative substrate, consisting of fresh microalgal biomass. The immobilization efficiency was evaluated by monitoring the residual activity (RA) and the discoloration potential (DP) of a synthetic dye solution. Concomitantly, the catalytic properties of free POD were explored, and the most promising storage strategy to maintain the enzymatic activity was studied.
RESULTS
The novel guaiacol peroxidase expressed specific activity of up to 7801 U mg−1 in the free form, showing stability when subjected to up to 80°C in a pH range between 4.0-8.0. Furthermore, the bioproduct immobilized on magnetic nanoparticles expressed up to 689% RA and 100% DP. An increase in the RA of the enzyme, both in free and immobilized form, was also observed after storage for up to 8 months. The synthesized magnetic nanozymes showed good reusability, maintaining 13546 U mg−1 after ten cycles and removing 94% of color in a second batch. Toxicological evaluation with Allium cepa indicated that the enzymatic process of color removal with immobilized POD was essential to eliminate genotoxic effects.
CONCLUSION
T. koningiopsis peroxidase production and immobilization presented in our work are promising for the enzyme market and for the wastewater treatment technologies, considering its high bioxidative potential.
Role of Urban Agriculture for Livelihood Improvement, Waste Management and Greening in Case of Hawassa City
Authors: Gelgelo Gezehagn Gesese , Teshome Fiseha Bekele , Owato Zewdie Lemma 
Published: January 2022

Abstract
Background: Urban agriculture is one of the strategies to enhance the livelihood of the urban community, ensure food security and nutrition. Despite, the increasing development of the practice in Hawaassa city, its environmental and societal perspectives had been neglected. Moreover, the increase in urbanization due to several social-economic reasons has become a challenge for urban agriculture practices. Methodology: This study was aimed at investigating the roles of urban agriculture on livelihood improvement, waste management, and urban greening. A purposive random sampling technique was employed to select sample households. Besides questionnaire surveys and key informant interviews were used to elicit necessary information while literature analysis supplemented the data. Result: It was found that urban agriculture in the study area is maintaining the cultural experience of the local society, generating income, and introducing saving habits. It has also improved the esthetic value of the city via utilization of the organic waste. Hence, urban agriculture in the city is compatible with urban job creation, price adjustment, and provision of a green urban environment. Conclusion: Urban agricultural practices should keep the phase of increasing urbanization in the study area.
Precision resection of pulmonary tuberculoma using Nd:YAG-laser
Authors: Dyachkov I. A. , Motus I. Ya. , Bazhenov A. V. , Skornyakov S. N. , Berdnikov R. B. 
Published: January 2022

The objective of the study: a comparative study of immediate and long-term results of pulmonary tuberculoma precision resection with Nd:YAG-laser with a wavelength of 1,318 nm and atypical resection with suturing devices.Subjects and Methods. Two groups of 58 patients each were compared. The groups were comparable in terms of gender, age, the nature of the concomitant pathology and the main pathological process. In Group I, patients were operated on using precision 1,318-nm Nd:YAG-laser resection, and in Group II, the sublobar resection with suturing devices were used.Results. The mean duration of hospital stay in Groups I and II was 19.10 ± 6.02 and 19.20 ± 6.02 days respectively (p > 0.05), the duration of surgery made 65 [55; 75] and 55 [45; 60] minutes (p > 0.05), the mean volume of surgical blood loss was 50 [33; 70] and 70 [50; 165] ml (p > 0.05), and the mean duration of pleural cavity drainage after surgery was 4 [3; 5] and 4 [3; 6] days (p > 0.05). Statistically significant differences were noted in the mean volume of the resected part of the lung: 14.0 ± 7.4 mm3 in Group I versus 95.0 ± 9.7 mm3 in Group II (p ≤ 0.05). The complete clinical and radiological cure was achieved in 70% of patients in Group I and 82% in Group II. According to MSCT data, in 91.6% of cases, a thin linear scar is formed in the area of precision intervention.Conclusion: The surgical methods are comparable in terms of immediate and long-term results but precision laser resection minimizes the removal of intact tissue during the removal of tuberculomas.
Tuberculosis situation among the pediatric population of Saratov Region (2015-2019)
Authors: Aleksandrova E. N. , Morozova T. I. , Salina T. Yu. 
Published: January 2022

Subjects and Methods. Incidence and prevalence of tuberculosis among children and adolescents in Saratov Region were retrospectively analyzed for 2015-2019.Results. The incidence of tuberculosis in children reflects general trends in the epidemic situation over the years in Saratov Region. In this region during 10 years of monitoring, tuberculosis incidence among children decreased 4 times by 2019 and it made 2.3 per 100,000 population, and among adolescents, it decreased 1.6 times (16.3 per 100,000 population). The number of children with post-tuberculosis changes detected for the first time increased 3 times in 2019 versus 2015, and the number of adolescents increased 4.5 times not only due to transition to tuberculosis screening in children aged 8-17 years old by skin test with tuberculosis recombinant allergen but also to the examination of children by computed tomography. The incidence in children followed up as Group IVA in 2019 was 15 times higher than this rate in the overall pediatric population. Analysis of the number of children and adolescents who developed tuberculosis and followed up as Groups IV and VI in 2015-2019 showed that the number of children ill with tuberculosis in Group IV was 3 times higher than the number of children in Group VI.
Pulmonary abscess as a complication of COVID-19 associated pneumonia: a clinical case
Authors: Kalenchits T. I. , Kabak S. L. , Primak S. V. , Shirinaliev N. M. 
Published: January 2022

The article describes a case of polysegmental destructive viral-bacterial pneumonia complicated with acute pulmonary abscess, pleural empyema, and pneumopleurofibrosis in a 50-year-old female patient infected with the SARS-CoV-2 virus. The first clinical, laboratory and radiological signs of purulent-necrotic inflammation appeared only 20 days after receiving a positive RT-PCR test result with a nasopharyngeal swab. A month later, an emerging abscess in the lower lobe of the right lung was diagnosed. Subsequently, it spontaneously drained into the pleural cavity.Coagulopathy with the formation of microthrombi in small pulmonary vessels is one of the causative factors of lung abscess in patients infected with the SARS-CoV-2 virus.
Design of IIoT device to parse data directly to scada systems using LoRa physical layer
Authors: Maharaj Robin , Balyan Vipin , Kahn Mohammed Tariq 
Published: January 2022

Abstract
With the advent of the 4th Industrial revolution and the need to improve productivity levels, there is an increasing need for data analytics. Techniques should be pursued to extend the range of sensors both to Local systems and to remote systems. In this paper, the proof of concept is implemented on an STM34F4 development board to realise the performance of two wireless technologies to extend the range of sensor connectivity to a local process control system. The technologies investigated are physical layer LoRa nodes, nrf2401l (a 2.4 GHz radio module), 4 to 20 mA Converters together with protocol wrappers and interfaces to enhance the data value chain in a legacy process control system.
Ferroptosis Inducers for Prostate Cancer Therapy
Authors: Zaffaroni Nadia , Beretta Giovanni Luca 
Published: January 2022

Abstract:
Lipid peroxidation-driven iron-dependent ferroptosis is a regulated cell death
mechanism implicated in numerous diseases, such as neurological diseases, kidney injury,
ischemia, and tumors, including prostate cancer. The cellular mechanisms of ferroptosis
are strongly associated with iron, reactive oxygen species and amino acid metabolic
pathways. Several compounds, namely ferroptosis inducers, impact these pathways and
trigger ferroptosis by i) inhibiting Xc
- transporter system, ii) impairing GPX4 functions
and iii) oxidizing iron and polyunsaturated phospholipids. Preclinical studies show that
in combination with conventional anticancer drugs, ferroptosis inducers are effective in
prostate cancer and in combating the progression towards the castration-resistant disease.
This review overviews the mechanisms implicated in ferroptosis and discusses the findings
achieved in prostate cancer.
Role of TlyA in the Biology of Uncultivable Mycobacteria
Authors: Sharma Mukul , Singh Pushpendra 
Published: January 2022

Abstract:
TlyA proteins are related to distinct functions in a diverse spectrum of bacterial pathogens,
including mycobacterial spp. There are several annotated proteins that function as hemolysin
or pore-forming molecules that play an important role in the virulence of pathogenic organisms.
Many studies reported the dual activity of mycobacterial TlyA as ‘hemolysin’ and ‘Sadenosylmethionine
dependent rRNA methylase’. To act as a hemolysin, a sequence must have a
signal sequence and transmembrane segment, which helps the protein enter the extracellular environment.
Interestingly, the mycobacterial tlyA has neither traditional signal sequences of general/
sec/tat pathways nor any transmembrane segments. Still, it can reach the extracellular milieu
with the help of non-classical signal mechanisms. Also, retention of tlyA in cultivable mycobacterial
pathogens (such as Mycobacterium tuberculosis and M. marinum) as well as uncultivated mycobacterial
pathogens despite their extreme reductive evolution (such as M. leprae, M. lepromatosis
and M. uberis) suggests its crucial role in the evolutionary biology of pathogenic mycobacteria.
Numerous virulence factors have been characterised by the uncultivable mycobacteria, but the information
of TlyA protein is still limited in terms of molecular and structural characterisation. The
genomic insights offered by comparative analysis of TlyA sequences and their conserved domains
reveal pore-forming activity, which further confirms its role as a virulence protein, particularly in
uncultivable mycobacteria. Therefore, this review presents a comparative analysis of the mycobacterial
TlyA family by sequence homology and alignment to improve our understanding of this unconventional
hemolysin and RNA methyltransferase TlyA of uncultivable mycobacteria.
Altered Expression of TRIM Proteins - Inimical Outcome and
Inimitable Oncogenic Function in Breast Cancer with Diverse
Carcinogenic Hallmarks
Authors: Mukherjee Sukhes , Ray Suman Kumar 
Published: January 2022

Abstract:
Deregulation of ubiquitin-mediated degradation of oncogene products or
tumor suppressors appears to be implicated in the genesis of carcinomas, according to
new clinical findings. Conferring to recent research, some members of the tripartite motif
(TRIM) proteins (a subfamily of the RING type E3 ubiquitin ligases) act as significant
carcinogenesis regulators. Intracellular signaling, development, apoptosis, protein
quality control, innate immunity, autophagy, and carcinogenesis are all regulated by
TRIM family proteins, the majority of which have E3 ubiquitin ligase activity. The
expression of TRIMs in tumors is likely to be related to the formation and/or progression
of the disease, and TRIM expression could be used to predict cancer prognosis. Breast
cancer is the most common malignancy in women and also the leading cause of death.
TRIM family proteins have unique, vital activities, and their dysregulation, such as TRIM
21, promotes breast cancer, according to growing evidence. Many TRIM proteins have
been identified as important cancer biomarkers, with decreased or elevated levels of
expression. TRIM29 functions as a hypoxia-induced tumor suppressor gene, revealing a
new molecular mechanism for ATM-dependent breast cancer suppression. In breast
cancer cells, the TRIM28-TWIST1-EMT axis exists, and TRIM28 enhances breast
cancer metastasis by stabilizing TWIST1, and thereby increasing epithelial-tomesenchymal
transition. Interestingly, many TRIM proteins are involved in the control of
p53, and many TRIM proteins are likewise regulated by p53, according to current
research. Furthermore, TRIMs linked to specific tumors may aid in the creation of
innovative TRIM-targeted cancer treatments. This review focuses on TRIM proteins that
are involved in tumor development, progression, and are of clinical significance in breast
cancer.
Phytochemical Study: Molecular Docking of Eugenol Derivatives as Antioxidant
and Antimicrobial Agents
Authors: Abdou Achraf , Idouaarame Sabrine , Salah Mohammed , Nor Nabil , Zahm Soukaina , El Makssoudi Abdelhakim , Mazoir Noureddine , Benharref Ahmed , Dari Abdelmjid , Eddine Jamal Jamal , Blaghen Mohamed , Dakir Mohamed 
Published: January 2022

Abstract:
Eugenol (4-allyl-2-methoxyphenol) is a natural phenolic compound present in certain aromatic
plants; however, it is generally extracted from the essential oil of Eugenia caryophyllata (Syzygiumaromaticum)
(L.) Merr. and L.M. Perry. This bioactive natural compound has generated considerable
biological interest with well-known antimicrobial and antioxidant actions. This study aimed at
evaluating eugenol derivatives as antimicrobial and antioxidant agents with the aid of molecular
dynamic simulation. The starting material was extracted from cloves using hydrodistillation. Two
eugenol derivatives, acetyleugenol (4-allyl-2-methoxyphenylacetate) and epoxyeugenol 4-(2,3-
Epoxypropyl)-2-methoxyphenol, were prepared and tested against two strains Escherichia coli (E. coli)
and Staphylococcus aureus (S. aureus). The results have revealed that the three compounds (eugenol,
acetyleugenol, and epoxyeugenol) possess important potentials for inhibition against E. coli and S. aureus.
The antioxidant activity of eugenol derivatives was evaluated by reacting with DPPH (1,1-
diphenyl-2-picrylhydrazyl), and it was reported that the epoxyeugenol was the most active compound.
The molecular docking scores of three compounds and the amino acids in the active site pockets of the
selected proteins of the two bacteria have approved and explained the biological experimental outcomes.
Ethnomedicinal Uses, Phytochemistry, Pharmacology, and Toxicity of the
Genus Nymphaea L.: A Review
Authors: Kamdem Boniface Pone , Le Doux Kamto Eutrophe , Aboubakar  , Pegnyemb Dieudonné Emmanuel , Igne Ferreira Elizabeth 
Published: January 2022

Background:
Plants from the genus Nymphaea L. have been used for decades to treat
various diseases, including dysentery, diarrhea, uterine cancer, gonorrhea, inflammation conditions,
etc. The present study aims to critically analyze comprehensive literature on ethnopharmacological
uses, phytochemistry, pharmacology, and toxicity of Nymphaea L.

Methods:
The available information on Nymphaea L. was obtained from textbooks, theses, as well
as published articles through libraries and electronic databases.

Results:
More than 150 compounds, including flavonoids, phenolics, alkaloids, miscellaneous compounds,
etc. were identified from Nymphaea L. extracts, and pure molecules from Nymphaea L. exhibited
a wide range of pharmacological activities, including antimicrobial, anti-inflammatory, anticancer,
immunomodulatory, hepatoprotective, antioxidant, cytotoxic, etc.

Conclusion:
According to in vitro and in vivo studies, Nymphaea sp. are very promising medicinal
plants. However, more in vivo experiments, cytotoxicity tests, and detailed mechanisms of action
of their extracts and compounds are recommended to translate their ethnomedicinal claims into scientific
rationale-based information.
Supervised Machine Learning Models and Protein-Protein Interaction
Network Analysis of Gene Expression Profiles Induced by Omega-3 Polyunsaturated
Fatty Acids
Authors: Shityakov Sergey , Chang Jane Pei-Chen , Sun Ching-Fang , Guu David Ta-Wei , Dandekar Thomas , Su Kuan-Pin 
Published: January 2022

Background:
Omega-3 polyunsaturated fatty acids (PUFAs), such as eicosapentaenoic (EPA) and docosahexaenoic (DHA) acids, have beneficial effects on human health, but their effect on gene expression in elderly individuals (age ≥ 65) is largely unknown. In order to examine this, the gene expression profiles were analyzed in the healthy subjects (n = 96) at baseline and after 26 weeks of supplementation with EPA+DHA to determine up-regulated and down-regulated dif-ferentially expressed genes (DEGs) triggered by PUFAs. The protein-protein interaction (PPI) networks were constructed by mapping these DEGs to a human interactome and linking them to the specific pathways.

Objective:
This study aimed to implement supervised machine learning models and protein-protein interaction network analysis of gene expression profiles induced by PUFAs.

Methods:
The transcriptional profile of GSE12375 was obtained from the Gene Expression Om-nibus database, which is based on the Affymetrix NuGO array. The probe cell intensity data were converted into the gene expression values, and the background correction was performed by the multi-array average algorithm. The LIMMA (Linear Models for Microarray Data) algo-rithm was implemented to identify relevant DEGs at baseline and after 26 weeks of supplemen-tation with a p-value < 0.05. The DAVID web server was used to identify and construct the en-riched KEGG (Kyoto Encyclopedia of Genes and Genomes) pathways. Finally, the construction of machine learning (ML) models, including logistic regression, naïve Bayes, and deep neural networks, were implemented for the analyzed DEGs associated with the specific pathways.

Results:
The results revealed that up-regulated DEGs were associated with neurotrophin/MAPK signaling, whereas the down-regulated DEGs were linked to cancer, acute myeloid leukemia, and long-term depression pathways. Additionally, ML approaches were able to cluster the EPA/DHA-treated and control groups by the logistic regression performing the best.

Conclusion:
Overall, this study highlights the pivotal changes in DEGs induced by PUFAs and provides the rationale for the implementation of ML algorithms as predictive models for this type of biomedical data.
Open-source Web Portal for Managing Self-reported Data and Real-world Data Donation in Diabetes Research: Platform Feasibility Study
Authors: Cooper Drew , Ubben Tebbe , Knoll Christine , Ballhausen Hanne , O'Donnell Shane , Braune Katarina , Lewis Dana 
Published: January 2022

Background
People with diabetes and their support networks have developed open-source automated insulin delivery systems to help manage their diabetes therapy, as well as to improve their quality of life and glycemic outcomes. Under the hashtag #WeAreNotWaiting, a wealth of knowledge and real-world data have been generated by users of these systems but have been left largely untapped by research; opportunities for such multimodal studies remain open.

Objective
We aimed to evaluate the feasibility of several aspects of open-source automated insulin delivery systems including challenges related to data management and security across multiple disparate web-based platforms and challenges related to implementing follow-up studies.

Methods
We developed a mixed methods study to collect questionnaire responses and anonymized diabetes data donated by participants—which included adults and children with diabetes and their partners or caregivers recruited through multiple diabetes online communities. We managed both front-end participant interactions and back-end data management with our web portal (called the Gateway). Participant questionnaire data from electronic data capture (REDCap) and personal device data aggregation (Open Humans) platforms were pseudonymously and securely linked and stored within a custom-built database that used both open-source and commercial software. Participants were later given the option to include their health care providers in the study to validate their questionnaire responses; the database architecture was designed specifically with this kind of extensibility in mind.

Results
Of 1052 visitors to the study landing page, 930 participated and completed at least one questionnaire. After the implementation of health care professional validation of self-reported clinical outcomes to the study, an additional 164 individuals visited the landing page, with 142 completing at least one questionnaire. Of the optional study elements, 7 participant–health care professional dyads participated in the survey, and 97 participants who completed the survey donated their anonymized medical device data.

Conclusions
The platform was accessible to participants while maintaining compliance with data regulations. The Gateway formalized a system of automated data matching between multiple data sets, which was a major benefit to researchers. Scalability of the platform was demonstrated with the later addition of self-reported data validation. This study demonstrated the feasibility of custom software solutions in addressing complex study designs. The Gateway portal code has been made available open-source and can be leveraged by other research groups.
A Novel Approach to the Measurement of Bourdieusian Social Capital within Institutional Pages and Profiles
Authors: Gomes Alan Keller , Cunha Kaique Matheus Rodrigues , Ferreira Guilherme Augusto da Silva 
Published: January 2022

We present in this paper a novel approach for measuring Bourdieusian Social Capital (BSC) within Institutional Pages and Profiles. We analyse Facebook's Institutional Pages and Twitter's Institutional Profiles. Supported by Pierre Bourdie's theory, we search for directions to identify and capture data related to sociability practices, i. e. actions performed such as Like, Comment and Share. The system of symbolic exchanges and mutual recognition treated by Pierre Bourdieu is represented and extracted automatically from these data in the form of generalized sequential patterns. In this format, the social interactions captured from each page are represented as sequences of actions. Next, we also use such data to measure the frequency of occurrence of each sequence. From such frequencies, we compute the effective mobilization capacity. Finally, the volume of BSC is computed based on the capacity of effective mobilization, the number of social interactions captured and the number of followers on each page. The results are aligned with Bourdieu's theory. The approach can be generalized to institutional pages or profiles in Online Social Networks.