bluuebunny/crossref_metadata_2025_split huggingface dataset:
Performing non-linear anomaly detection analysis using Renyi entropy and ISSA-SVM
Authors: Wu huiyong , Li hongkun , Jin shuchun , Yang tongtong , Zhou ziwei 
Published: March 2023

Abstract
In industrial systems,the signal of rotating machinery is usually non-stationary, non-linear, and with noise interference.To improve the accuracy of anomaly detection analysis and overcome the limitations of optimization methods, This article proposes a rolling bearing fault diagnosis method using Renyi entropy and the integrated sparrow search algorithm (ISSA) with flight strategy for optimizing support vector machines (SVM). Firstly, wavelet packet analysis is used to decompose the original signal, and the optimal frequency band is selected from the decomposed bands for reconstruction. The reconstructed frequency band is then used to calculate the Renyi entropy and form the feature vector, which is input into the sparrow search algorithm with dynamically reverse learning factors for fault diagnosis. This algorithm improves the diversity of the population and the problem of easily getting stuck in local optima of the sparrow search algorithm by initializing the population with a flight strategy and adjusting the step size factor. The improved algorithm is compared with the diagnostic results of grey wolf optimization algorithm, sparrow search algorithm, and particle swarm optimization algorithm, and it is evident that the ISSA-SVM with improved algorithm has faster convergence and higher accuracy.
A computational model for synaptic message transmission
Authors: Xin Houwen , Xin Lizhi , Xin Kevin 
Published: March 2023

Abstract
A computational model incorporating insights from quantum theory is proposed to describe and explain synaptic message transmission. We propose that together, neurotransmitters and their corresponding receptors, function as a physical “quantum decision tree” to “decide” whether to excite or inhibit the synapse. When a neurotransmitter binds to its corresponding receptor, it is the equivalent of randomly choosing different "strategies"; a “strategy" has two actions to take: excite or inhibit the synapse with a certain probability. The genetic programming can be applied for learning the observed data sequence to simulate the synaptic message transmission.
Genetic Evaluations of Dairy Goats With Few Pedigree Data: Different Approaches to Use Molecular Information
Authors: Cardona Samir Julián Calvo , García-Baccino Carolina Andrea , Escobar-Restrepo Carlos Santiago , Cadavid Henry Cardona , Álvarez Juan David Corrales , Duarte José Luis Gualdrón , Rogberg-Muñoz Andres 
Published: March 2023

Abstract
One of the limitations of implementing animal breeding programs in small-scale or extensive production systems is the lack of production records and genealogical records. In this context, molecular markers could help to gain information for the breeding program. This study addresses the inclusion of molecular data into traditional genetic evaluation models as a random effect by molecular pedigree reconstruction and as a fixed effect by Bayesian clustering. The methods were tested for lactation curve traits in 14 dairy goat herds with incomplete phenotypic data and pedigree information. The results showed an increment of 37.3% of the relationships regarding the originals with MOLCOAN and clustering into five genetic groups. Data leads to estimating additive variance, error variance, and heritability with four different models, including pedigree and molecular information. Deviance Information Criterion (DIC) values demonstrate a greater fitting of the models that include molecular information either as fixed (genetic clusters) or as random (molecular matrix) effects. The molecular information of simple markers can complement genetic improvement strategies in populations with little information.
SARS-CoV-2 Infection, Inflammation, Immunonutrition, and Pathogenesis
of COVID-19
Authors: Yu Ligen , Abd Ghani Mohd Khanapi , Aghemo Alessio , Barh Debmalya , Bassetti Matteo , Catena Fausto , Gallo Gaetano , Gholamrezanezhad Ali , Kamal Mohammad Amjad , Lal Amos , Sahu Kamal Kant , Saxena Shailendra K. , Elmore Ugo , Rahimi Farid , Robba Chiara , Song Yuanlin , Xia Zhengyuan , Yu Boxuan 
Published: March 2023

Abstract:
The COVID-19 pandemic, caused by the coronavirus, SARS-CoV-2, has claimed millions of lives worldwide in the past two years. Fatalities among the elderly with underlying cardiovascular disease, lung disease, and diabetes have particularly been high. A biometrics analysis on author’s keywords was carried out, and searched for possible links between various coronavirus studies over the past 50 years, and integrated them. We found keywords like immune system, immunity, nutrition, malnutrition, micronutrients, exercise, inflammation, and hyperinflammation were highly related to each other. Based on these findings, we hypothesized that the human immune system is a multilevel super complex system, which employs multiple strategies to contain microorganism infections and restore homeostasis. It was also found that the behavior of the immune system is not able to be described by a single immunological theory. However, one main strategy is “self-destroy and rebuild”, which consists of a series of inflammatory responses: 1) active self-destruction of damaged/dysfunctional somatic cells; 2) removal of debris and cells; 3) rebuilding tissues. Thus, invading microorganisms’ clearance could be only a passive bystander response to this destroy–rebuild process. Microbial infections could be self-limiting and promoted as an indispensable essential nutrition for the vast number of genes existing in the microorganisms. The transient nutrition surge resulting from the degradation of the self-destroyed cell debris coupled with the existing nutrition state in the patient may play an important role in the pathogenesis of COVID-19. Finally, a possible coping strategies to mitigate COVID-19, including vaccination is also discussed.
Identification of Key Genes in Angiogenesis of Breast and Prostate
Cancers in the Context of Different Cell Types
Authors: Jariani Abbas , Kakroodi Setareh Talebi , Arabfard Masoud , Jamialahmadi Tannaz , Rahimi Maryam , Sahebkar Amirhossein 
Published: March 2023

Introduction:
Angiogenesis involves the development of new blood vessels.
Biochemical signals start this process in the body, which is followed by migration,
growth, and differentiation of endothelial cells that line the inside wall of blood vessels.
This process is vital for the growth of cancer cells and tumors.

Materials and Methods:
We started our analysis by composing a list of genes that have a
validated impact in humans with respect to angiogenesis-related phenotypes. Here, we
have investigated the expression patterns of angiogenesis-related genes in the context of
previously published single-cell RNA-Seq data from prostate and breast cancer samples.

Results:
Using a protein-protein interaction network, we showed how different modules
of angiogenesis-related genes are overexpressed in different cell types. In our results,
genes, such as ACKR1, AQP1, and EGR1, showed a strong cell type-dependent overexpression
pattern in the two investigated cancer types, which can potentially be helpful in
the diagnosis and follow-up of patients with prostate and breast cancer.

Conclusion:
Our work demonstrates how different biological processes in distinct cell
types contribute to the angiogenesis process, which can provide clues regarding the potential
application of targeted inhibition of the angiogenesis process.
Pre-clinical Efficacy and Safety Pharmacology of PEGylated
Recombinant Human Endostatin
Authors: Guo Lifang , Hua Linbin , Hu Bin , Wang Jing 
Published: March 2023

Introduction:
This study aimed to outline the pre-clinical efficacy and safety
pharmacology of PEGylated recombinant human endostatin (M2ES) according to the
requirements of new drug application.

Methods:
The purity of M2ES was evaluated by using silver staining. Transwell
migration assay was applied to detect the bioactivity of M2ES in vitro. The antitumor
efficacy of M2ES was evaluated in an athymic nude mouse xenograft model of
pancreatic cancer (Panc-1) and gastric cancer (MNK45). BALB/C mice were treated with
different doses of M2ES (6, 12 and 24 mg/kg) intravenously, both autonomic activity and
cooperative sleep were monitored before and after drug administration.

Results:
The apparent molecular weight of M2ES was about 50 kDa, and the purity was
greater than 98%. Compared with the control group, M2ES significantly inhibits human
micro-vascular endothelial cells (HMECs) migration in vitro. Notably, weekly
administration of M2ES showed a significant antitumor efficacy when compared with the
control group. Treatment of M2ES (24mg/kg or below) showed no obvious effect on both
autonomic activity and hypnosis.

Conclusion:
On the basis of the pre-clinical efficacy and safety pharmacology data of
M2ES, M2ES can be authorized to carry out further clinical studies.
Insight of Engineered Nano-based Biologics Approaches used to Combat
Autoimmune Disease using TNF-α & IL Inhibitors
Authors: Patil Darshani , Ajazuddin  , Bhattacharya Sankha 
Published: March 2023

Abstract:
Autoimmune disease is increasing widely, and the biologicals in autoimmune disease play a vital role in the cure. Biologicals have an affinity to bind the specific target molecule and suppress inflammation. The different biologicals are used to treat various autoimmune diseases by preventing the cytokines from unlocking cells and causing inflammation. Each biologic targets a different cytokine. The common classes of biologic that are used to treat autoimmune disease are i) Tumor Necrosis Factor-alpha (TNFα) inhibitors and ii) Interleukin Inhibitors (IL). Along with bio-logics, nanomedicine has shown to be a successful method for creating customized nanomaterials with the potential to deliver medicinal agents to particular organs or tissues drugs without causing immunosuppressive or immunostimulatory adverse effects. This article reviews biologics used in treating Autoimmune Disease (AD) and the mechanism involved. The examination of current de-velopments that have been made to create innovative nanoparticle-based therapies for autoimmune illnesses and their inclusion in vaccines. Also, recent clinical trials display nanosystem strategies for treating AD.
Integration of Proteomic Data Obtained from the Saliva of Children with
Caries through Bioinformatic Analysis
Authors: Manuel Guzman-Flores Juan , Martínez-Esquivias Fernando , Sarai Becerra-Ruiz Julieta , Berenice Vázquez-Rodríguez Sandra 
Published: March 2023

Background:
Dental caries can affect the expression of salivary proteins. Proteomics allows
us to analyze and identify many proteins in a single sample and experiment; bioinformatics is essential
to analyze proteomic data.

Objective:
This research aims to identify and integrate the main differentially expressed proteins in the
saliva of children with caries, infer their Gene Ontology and interactions, and identify regulatory factors.

Materials and Methods:
We extracted proteins from a bibliographic search in the Scopus and PubMed
databases. We analyzed these proteins with the web application ShinyGO v0.76, ToppGene and NetworkAnalyst
3.0, and the Cytoscape platform.

Results:
In the literature search, we extracted 26 differentially expressed proteins. These proteins
show enrichment in antioxidant activity, antimicrobial response, immune response, and vitamin and
mineral metabolism. We found three transcription factors that regulate most of the genes of these proteins:
TFDP1, SOX13, and BCL6. We also identified three microRNAs that highly restrict the expression
of these proteins: hsa-mir-124-3p, hsa-mir-27a-3p, and hsa-mir-26b-5p. On the other hand, the
main drugs associated with these proteins are potassium persulfate, aluminum, and cadmium.

Conclusion:
The differentially expressed proteins in the saliva of children with dental caries are involved
in metabolic pathways related to folate, selenium, and vitamin B12 metabolism. In addition,
some transcription factors (TFDP1, SOX13, and BCL6) miRNAs (hsa-mir-124-3p, hsa-mir-27a-3p,
and hsa-mir-26b-5p) and chemical compounds (potassium persulfate, aluminum, and cadmium) can
regulate the genes, mRNAs or proteins studied.
Synthesis, Anti-acetylcholinesterase Evaluation, Molecular Docking and
Molecular Dynamics Simulation of Novel Psoralen Derivatives
Authors: Hasan Aso Hameed , Yusof Faten Syahira Mohamed , Kamarudin Natasha Amira , Murugesan Sankaranarayanan , Shakya Sonam , Jamalis Joazaizulfazli 
Published: March 2023

Introduction:
Seven new psoralen derivatives were synthesised by carbodiimide cou-pling to active carboxylic acid to amide formation in mild reaction conditions.

Methods:
The psoralen derivatives were produced through the condensation of seven different types of amine groups consisting of electron withdrawing groups and electron donating groups.

Results:
All the synthesised compounds were obtained with moderate to high yields. Structural characterization using ATR-FTIR, 1H NMR, 13C NMR, and HRMS has confirmed their structure. Moreover, in silico evaluation of the psoralen derivatives against the AChE enzyme was per-formed, and acetylcholinesterase inhibitory activity of psoralen derivatives was also conducted.

Conclusion:
Results from molecular docking show the potential of compound 12e as AChE inhib-itors due to its highest binding energy value. It was further supported by the anti-acetylcholinesterase activity of compound 12e, which has 91.69% inhibition, comparable to galan-tamine (94.12%). Furthermore, 100 ns run molecular dynamics (MD) simulation was used to re-fine docking results.
Rosebay Willowherb (Chamerion angustifolium) in Food Products: Evaluation of the Residual Anti-radical Activity of Polyphenol Compounds
and N-acetylcystein
Authors: Gorbachev Victor , Nikitin Igor , Velina Daria , Klokonos Maria , Mutallibzoda Sherzodkhon , Tefikova Svetlana , Orlovtseva Olga , Ivanova Natalia , Posnova Galina , Bychkova Tatyana , Zabalueva Yuliya , Matsikova Olga 
Published: March 2023

Background:
The composition of polyphenolic compounds in various parts of the
Rosebay willowherb (Chamerion angustifolium) has been studied in detail and published. A
number of these compounds have sufficient antiradical activity (ARA) to create functional foods
based on extracts from this plant that are preventive against free-radical pathologies in humans.
Part of substances with antiradical activity (e.g., vitamins, polyphenol components) are destroyed
during the technological processing of food raw materials, and the values of ARA drop in the finished
food product concerning the initial values (before and after technical processing) are not
fully evaluated.

Objective:
The object of the study is to study the thermal stability of polyphenol components
possessing ARA (dried at 60°C and 150°C) and evaluate their residual ARA in the finished food
products, N-acetylcysteine (NAC), as one of the known antiradical, was used as a reference substance.

Methods:
Spectrophotometric method was used to evaluate the change of ARA in prepared
foods. Gas chromatography-mass spectrometry (GC-MS) was used as an additional method to
evaluate the difference in the chemical composition of polyphenol components.

Results:
The residual ARA in the finished products (for caramel and bakery products) was ≈
23.9% for rapidly extractable substances, for polyphenol compounds ≈ 46.1%, and for amino acids
and easily hydrolyzable substances ≈ 34.5%.

Conclusion:
Rosebay willowherb extract and N-acetylcysteine are recommended for increasing
the ARA (between 1.6-4.9 times) of foods with low ARA (confectionery, bread, or other heavily
processed foods) and for diets and diets preventive of free-radical pathologies by adding polyphenolic
plant components and cysteine derivatives.
Prospective Role of Leptin Receptor Gene and its Polymorphisms on the
Onset of Polycystic Ovarian Syndrome
Authors: Vanamala Keerthi , Medithi Srujana 
Published: March 2023

Introduction:
Leptin hormone is produced by adipose tissue and soluble leptin receptor (sOB-R) influences leptin's free bioavailability. Obese individuals have unusually elevated leptin levels. Obesity influences insulin and other hormone levels and is a key risk factor for developing polycystic ovarian syndrome (PCOS) and mutations such as rs2025804 and G2548A (rs7799039). PCOS is a hormonal condition that affects females of reproductive age primarily. Although there is no known cause of PCOS, studies have linked it to various factors, including insulin resistance, obesity, and genetics. Till now, research indicates a substantial correlation between leptin and female reproductive hormones, and PCOS. Thus, the purpose of this study is to compile the available data for a better understanding of the link between leptin and its effect on female reproductive hormones and PCOS and to determine whether the leptin receptor polymorphism (LEPR) influences the start of PCOS.

Methods:
Following a review of the relevant papers, it was determined that there is an association between leptin and female reproductive hormones such as luteinizing hormone (LH), follicle-stimulating hormone (FSH), estradiol (E2), progesterone, and prolactin. It was observed that Gln223Arg (Q223R/rs1137101), Pro1019Pro (A3057G), Lys109Arg (K109R/rs1147100), rs2025804, and G2548A (rs7799039) are the LEPR polymorphisms associated with PCOS. Gln223Arg is the most frequently studied variant in the LEPR gene across populations.

Results:
Interestingly, different groups demonstrated varying relationships between leptin receptor polymorphisms and PCOS, particularly for Gln223Arg, which contains two alleles (G allele and A allele). The G allele was protective against PCOS in the Korean population but increased the frequency of PCOS in countries such as Bahrain, India, Iran, and Iraq. There was no significant difference between PCOS and controls with this polymorphism in places such as China, Turkey, Saudi Arabia, and Helsinki.

Conclusion:
To summarize, the association between multiple leptin receptor polymorphisms and PCOS is complex and varies by research region. There hasn't been much research done on the gene polymorphism "Gln223Arg" or the other polymorphisms. While certain research findings were notable, each came with its limitations. As a result, additional interventional studies, including precise criteria in bigger and more diverse groups, are required.
Rationale and Development of Tavapadon, a D1/D5-Selective Partial
Dopamine Agonist for the Treatment of Parkinson’s Disease
Authors: Bezard Erwan , Gray David , Kozak Rouba , Leoni Matthew , Combs Cari , Duvvuri Sridhar 
Published: March 2023

Abstract:
Currently, available therapeutics for the treatment of Parkinson’s disease (PD) fail to provide
sustained and predictable relief from motor symptoms without significant risk of adverse events
(AEs). While dopaminergic agents, particularly levodopa, may initially provide strong motor control,
this efficacy can vary with disease progression. Patients may suffer from motor fluctuations, including
sudden and unpredictable drop-offs in efficacy. Dopamine agonists (DAs) are often prescribed during
early-stage PD with the expectation they will delay the development of levodopa-associated complications,
but currently available DAs are less effective than levodopa for the treatment of motor symptoms.
Furthermore, both levodopa and DAs are associated with a significant risk of AEs, many of
which can be linked to strong, repeated stimulation of D2/D3 dopamine receptors. Targeting D1/D5
dopamine receptors has been hypothesized to produce strong motor benefits with a reduced risk of
D2/D3-related AEs, but the development of D1-selective agonists has been previously hindered by intolerable
cardiovascular AEs and poor pharmacokinetic properties. There is therefore an unmet need in
PD treatment for therapeutics that provide sustained and predictable efficacy, with strong relief from
motor symptoms and reduced risk of AEs. Partial agonism at D1/D5 has shown promise for providing
relief from motor symptoms, potentially without the AEs associated with D2/D3-selective DAs and
full D1/D5-selective DAs. Tavapadon is a novel oral partial agonist that is highly selective at D1/D5
receptors and could meet these criteria. This review summarizes currently available evidence of
tavapadon’s therapeutic potential for the treatment of early through advanced PD.
Patinformatics Studies on Tomato Plant Disease
Authors: Wagle Shivali Amit , R. Harikrishnan , Volkova Elvira , Tiwari Amit Kumar 
Published: March 2023

Purpose:
Recent advancements in artificial intelligence in agriculture have had excellent
results. This paper aims to discuss the patent perspective of tomato plant disease using artificial intelligence
and discover the global research scenario.

Methodology:
Patent documents from Lens.org were extracted for this study. A total of 4793 patent
documents were analyzed manually. It also provides state-of-the-art patent documents on the readymix
of researchers involved in tomato plant disease. The application used for patent landscape is
MS Excel, PatCite, and Origin.

Results:
The study analyzed the research activities worldwide, top players in the field, and patent
landscape analysis. This article focuses on the different facets of the competitive landscape process
of intellectual property related to tomato plant disease.

Conclusion:
This review familiarizes tomato plant diseases with new and changing trends and convinces
them of the importance of applying for patents to protect their innovation and the industry’s
use of those innovations to promote commercialization.
Traditional Uses, Phytochemistry, Pharmacology, and Toxicology of Erigeron
floribundus (Kunth) Sch. Bip.: A Review
Authors: Tamdem Guetchueng Stephanie , Tiwa Lontsi Axel , Kopa Kowa Theodora , Tchamgoue Joseph , Tsabang Nole , Nnanga Emmanuel Nga 
Published: March 2023

:
Erigeron floribundus (Kunth) Sch. Bip. is a reputed medicinal plant widespread all over the
world and used traditionally in the treatment of several diseases and infections such as skin disorders,
malaria, and gastrointestinal infections. The purpose of this review is to provide a comprehensive overview
of traditional uses, phytochemistry, pharmacological activity, and toxicological profile of E. floribundus,
and to direct further studies on aspects that have not yet been investigated in order to bring more
scientific data for this plant and then give an opportunity for future exploitation in pharmaceutical industries.
A meticulous and methodical analysis of the literature was conducted using various online scientific
databases and all relevant abstracts and full text articles analyzed and included in the review. A wide
range of traditional uses are cited in the literature with the plant mostly being used in African folk medicine
for the treatment of malaria and skin diseases. Phytochemical investigations of E. floribundus have
resulted in the isolation of several metabolites from different classes including acetylene-derivatives, phenolic
compounds, triterpenoids, and steroids. Extracts and isolates from this species were reported to exhibit
promising antimicrobial, anti-inflammatory, and analgesic properties. However, the plant has also
demonstrated some toxicological activities and should be used with caution. Reported chemical and
pharmacological investigations of E. floribundus support the traditional uses of this plant which deserves
further attention for antimicrobial drug discovery. The in-depth study should be emphasized the in vitro
and in vivo antimicrobial assessment of its extracts and isolated compounds.