bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Effect of Expressing Emotions on the Psychological Well-Being of
Individuals Suffering From Chronic Musculoskeletal Diseases
Authors: Demirel Yüksel , Gülşen Mustafa 
Published: September 2023

Background and Objective:
This study examines the effect of expressing emotions on the psychological well-being of individuals who have musculoskeletal disorders.

Methods:
This descriptive study was conducted with 111 individuals suffering from musculoskeletal diseases who were undergoing treatment in a university hospital in a metropolitan city in Turkey. Personal information forms, the Emotion Expression Scale, and Psychological Well-Being Scale were utilized in the research questionnaire.

Results:
A significant positive relationship was detected between expressing emotions and psychological well-being scores, and it was determined that expressing emotions positively influenced psychological well-being. Emotion expression accounted for 15.8 percent of psychological well-being (F=21.668, p<0.001). It was also unearthed that there was a significant difference between the groups according to the variables of level of education, gender, marital status, family structure, personal history, and whether there was a history of illness in the family. The model explained 34.7% of the variance in psychological well-being (F=12.708, p<0.001). In order of importance, expressing closeness (β=0.470; p<0.001), a higher education level (β=0.249; p<0.05), and expressing negative emotion (β=0.178, p<0.05) variables positively predict psychological well-being. However, single marital status (β=-0.239, p<0.05) predicts psychological well-being negatively.

Conclusion:
It has been observed that expressing emotions in musculoskeletal disorders contributes, albeit limited, to the level of psychological well-being. Accordingly, it is believed that encouraging individuals with musculoskeletal diseases to communicate their feelings with others or to express their feelings in various ways, providing supportive and reliable environments, and conducting therapeutic studies to increase their behaviors to express their feelings will contribute to patient care
Phytochemical, Pharmacological Profile and Biotechnology Approaches in the
Production of Coriandrum sativum Linn.
Authors: Singh Sonia , Sharma Khushi , Goswami Manisha , Sharma Himanshu 
Published: September 2023

Abstract:
The plant coriander, family umbelliferae, has applications in both the culinary and
traditional medical fields. It has a wide variety of phytochemicals, including polyphenols,
vitamins, and many phytosterols. These phytoconstituents are responsible for the pharmacological
activities of coriander, which include anticancer, anti-inflammatory, anti-diabetic, and
analgesic actions. The following online resources were utilised to conduct an electronic
search of the available literature: PubMed, Scopus, Google Scholar and ScienceDirect. Studies
in traditional breeding techniques resulted in the production of new species over time. In
this light, it is of the utmost need to carry out fundamental research on contemporary breeding
programmes to ascertain coriander's quantity and quality performance. Through the use of
genome sequencing technology and various molecular markers, researchers were able to examine
the genetic diversity and population structure of the coriander plant. As a result of these studies, coriander
breeding made some significant strides forward. The objective of this manuscript is to provide attention on the significant
role that advances in biotechnology play in the breeding of coriander and to further evaluate and discuss
the effectiveness of C. sativum in the treatment of several diseases. In addition to this, the manuscript includes a
discussion of the phytoconstituents that may be found in coriander seed and that have been collected from all over
the world. In light of this information, the application of biotechnological methods has the potential to improve
coriander breeding.
A Review of Magnetically Recyclable Nanocatalysts for the Synthesis of Quinazoline
and its Derivatives
Authors: Mishra Shweta , Sahu Adarsh 
Published: September 2023

Abstract:
The utility of quinazoline scaffolds as intermediates in new medicinal drug development
and discovery has grown in recent decades. The quinazoline framework is a valuable
pharmacophore, intermediate, and interesting building block with a wide range of pharmacological
activities that has piqued the interest of researchers in developing novel synthetic
strategies in medicinal chemistry. In contrast to time-, solvent-, and energy-consuming separation
approaches, magnetic separation is an effective method for the quick separation of catalysts
from reaction media. Nowadays, magnetically separable nanoparticles have recently
gained much interest from chemist in recent research due to their remarkable catalytic activity
in various chemical transformations. Many research articles have been published for the synthesis
of quinazoline derivatives based on utilizing nanoparticles as a catalyst because of the
significant role that biological quinazoline plays in medicinal chemistry. In the present review study, we summarize
the surface functionalization of mesoporous silica, metal organocatalysts, ionic liquids, and polymer-supported
magnetic nanoparticles and their applications as magnetically recoverable nanocatalysts in the efficient synthetic
methods of biologically active quinazoline and its derivatives.
Extracellular Vesicles from Stromal Vascular Fraction of Human Adipose
Tissue in the Development of Non-antibiotic Therapy
Authors: Srinivasa V.M.H. , Kumar B.M. , Patil Prakash , Shetty Nikhil , Shetty A.V. 
Published: September 2023

Background:
Antibiotic-resistant microorganisms (ARMS) are the leading cause of socio-
economic loss in the world, with historical evidence linking them to increased mortality and
morbidity.

Methodology:
In this systematic review, we highlight a new treatment approach for antibiotic-resistant
infections using 'Extracellular vesicle (EVs)-based therapy,' also known as cell- and drug-free
therapy. Here, we categorize and summarize studies on EVs derived from various human sources,
such as tissues, bodily fluids, or their condition media, emphasizing their anti-infective properties
in the treatment of various infections. In addition, we contend that human adipose tissue (HAT) is a
superior source of antimicrobial EVs (aEVs) and investigate the distinct antimicrobial properties of
aEVs derived from a stromal vascular fraction (SVF) of human adipose tissue. In light of this, we
described the limited literature and research gaps that are essential for using SVF-aEVs as personalized
precision medicine.

Result and Discussion:
The notion behind adipose-derived SVF-EVs is supported by extensive literature
searches that demonstrate growing trends in EV-based medical treatments as well as the
larger therapeutic potential of HAT because of its extensive history of usage in regenerative
medicine.

Conclusion:
Additionally, the underlying science that explains how the inflammatory process aids
in the clearance of infections and the restoration of homeostasis after the host immune system successfully
defends against foreign pathogens, as well as the fact that adipose-derived SVF is a noninvasive,
cost-effective source of a variety of parent immune cells that produces a good yield of
EVs with the same genetic make-up as their parent cells, make this concept worthwhile. This research
may thereby increase survival rates and survival quality in cases of resistant infections.

Vocabulary:
Drug- and cell-free therapy = Nano molecules (extracellular vesicles) used as a therapeutic
source without the need for chemical drugs or cell transplantation. Anti-infection EVs
(aEVs) = Nature’s own anti-infection powered EVs (unmodified).
Neurodegenerative Diseases: New Hopes and Perspectives
Authors: Bhat Mohammad Aadil , Dhaneshwar Suneela 
Published: September 2023

Abstract:
Alzheimer's disease, Parkinson's disease, Amyotrophic lateral sclerosis,
Huntington's disease, and Friedrich ataxia are all incurable neurodegenerative diseases
defined by the continuous progressive loss of distinct neuronal subtypes. Despite their
rising prevalence among the world's ageing population, fewer advances have been
made in the concurrent massive efforts to develop newer drugs. Recently, there has
been a shift in research focus towards the discovery of new therapeutic agents for
neurodegenerative diseases. In this review, we have summarized the recently
developed therapies and their status in the management of neurodegenerative diseases.
Role of Vitamins in Cardiovascular Health: Know Your Facts-Part 2
Authors: Manolis Antonis A. , Manolis Theodora A. , Melita Helen , Manolis Antonis S. 
Published: September 2023

Abstract:
Cardiovascular disease (CVD) is a major cause of morbidity/mortality world-wide, hence
preventive interventions are crucial. Observational data showing beneficial CV effects of vitamin supplements,
promoted by self-proclaimed experts, have led to ~50% of Americans using multivitamins;
this practice has culminated into a multi-billion-dollar business. However, robust evidence is lacking,
and certain vitamins might incur harm. This two-part review focuses on the attributes or concerns about
specific vitamin consumption on CVD. The evidence for indiscriminate use of multivitamins indicates
no consistent CVD benefit. Specific vitamins and/or combinations are suggested, but further supportive
evidence is needed. Data presented in Part 1 indicated that folic acid and certain B-vitamins may decrease
stroke, whereas niacin might raise mortality; beta-carotene mediates pro-oxidant effects, which
may abate the benefits from other vitamins. In Part 2, data favor the anti-oxidant effects of vitamin C
and the anti-atherogenic effects of vitamins C and E, but clinical evidence is inconsistent. Vitamin D
may provide CV protection, but data are conflicting. Vitamin K appears neutral. Thus, there are favorable
CV effects of individual vitamins (C/D), but randomized/controlled data are lacking. An important
caveat regards the potential toxicity of increased doses of fat-soluble vitamins (A/D/E/K). As emphasized
in Part 1, vitamins might benefit subjects who are antioxidant-deficient or exposed to high levels
of oxidative-stress (e.g., diabetics, smokers, and elderly), stressing the importance of targeting certain
subgroups for optimal results. Finally, by promoting CV-healthy balanced-diets, we could acquire essential
vitamins and nutrients and use supplements only for specific indications.
Concentrated Solar Radiation (CSR) Assisted Two-step, One-pot Synthesis
of (S)-3-(4-phenylpiperazin-1-yl)propane-1,2-diol (Levodropropizine)
Authors: Kudale Pawan , Chikane Santosh , Pinjari Dipak , Chaturbhuj Ganesh 
Published: September 2023

Background:
The recent energy shortage has drawn much attention to synthesizing active
pharmaceutical ingredients (API) using green chemistry concepts like renewable energy sources and
solvents. The concentrated solar radiation (CSR) technique has several advantages, including simple,
affordable, energy and time-efficient for synthesizing active pharmaceutical ingredients and new chemical
entities. Here, we successfully developed a two-step, one-pot synthesis of levodropropizine for the
first time using CSR as a clean energy source and in a green solvent.

Objective:
To synthesize levodropropizine using concentrated solar radiations to save energy and improve
yields while maintaining essential properties like chirality and physical properties.

Methods:
Levodropropizine was synthesized in two steps and in one pot method in a glass apparatus
under concentrated solar radiation using a Fresnel lens measuring 20 cm (l) X 20 cm (b). The outcome
was compared with the one obtained from the conventional heating method. X-ray crystallography,
FTIR, NMR, polarimetry, HPLC-MS, chiral HPLC, DSC, and DTA characterized the Levodropropizine
produced by CSR and conventional heating. The product synthesized by CSR was in agreement with
the one synthesized by conventional heating.

Results:
A two step, one pot synthetic protocol for Levodropropizine using concentrated solar radiations
resulted in 87% yield in 38 minutes while conventional heating method took about 6 hours with
77% yield.

Conclusion:
A two-step, one-pot, environmentally friendly, and straightforward approach to synthesizing
Levodropropizine using concentrated solar radiation has been established; this method minimized
the reaction time from 6.08 h. to 38 minutes, saving up to 90.89% of the energy. Different analytical
techniques for physical characterization, such as x-ray crystallography, DSC, DTA, and chemical identity
and purity by FTIR, NMR, Polarimetry, chiral HPLC, and LC-MS, thoroughly characterized Levodropropizine
synthesized by CSR.
Aptamer-guided Selective Delivery of Therapeutics to Breast Cancer Cells
Expressing Specific Biomarkers
Authors: Pandey Swaroop Kumar , Parul Mradula , Santhanam Manikandan 
Published: September 2023

Abstract:
Cancer biomarkers or tumor-associated antigens (TAA) are the focus area of current research
in cancer biology for diagnosis, prognosis, screening, and targeted treatments. Breast cancer is
the second most common type of cancer, affecting women more than men. Conventional methods and
antibody-targeted therapies are less effective and suffer systemic cytotoxicity, poor tissue sensitivity,
low penetration capacity, and reduced accumulation of the drug in tumor cells that limit its application
and sometimes result in treatment failure. Opting for aptamer-mediated targeted delivery of various
anti-cancer agents (drugs, siRNA, miRNA, shRNA and peptides) could possibly overcome these
limitations by utilizing aptamer as a targeting ligand. The purpose of this article is to review the novel
indicative biomarkers of breast cancer and also describe current applications of aptamer-guided active
targeting systems in breast cancer therapy in vivo and in vitro.
Intratesticular Vascular Architecture Seen by Ultrasound Microvascular
Imaging (MicroV). Illustration of the Testis Vascular Anatomy
Authors: Visalli Carmela , Salamone Ignazio , Mormina Enricomaria , Gaeta Michele 
Published: September 2023

Abstract:
The testis is a richly vascularized organ supplied by low-flow thin caliber vessels that are only partially detected by traditional Doppler systems,
such as color and power Doppler.

:
However, in the vascular representation, these techniques determine, albeit to different extents, a cut of the weak vessels due to the necessary
application of wall filters that cut the disturbing frequencies responsible for artifacts generated by pulsations of the vascular walls and surrounding
tissues.

:
These filters cut a specific range of disturbing frequencies, regardless of whether they may be generated by low-flow vessels.

:
Recently, a new technology, called Ultrasound Microvascular Imaging (MicroV) has been developed, which is particularly sensitive to slow flows.
This new mode is based on new algorithms capable of better selecting the low frequencies according to the source of origin and cutting only the
disturbing ones, saving the frequencies originating from really weak flows.

:
When Ultrasound microvascular imaging is used, the vascular map is more detailed and composed of macro and microvasculature, with more
subdivision branches, facilitating the interpretation of the normal and, consequently, the pathological.

:
This review aims to describe the vascular architecture of the testis with Ultrasound Microvascular Imaging (MicroV) in healthy testis, compared to
traditional color/power Doppler, related to normal anatomy.
Assessment of Diagnostic Performance of Risk Factors Affecting Extraprostatic
Extension: Role of Zonal Level of Prostate Cancer
Authors: Park Seo Young , Jeon Ga Young 
Published: September 2023

Objective:
Extraprostatic extension (EPE) serves as a crucial marker of prostate cancer aggressiveness and independently predicts the likelihood of biochemical recurrence (BCR), exhibiting a strong correlation with the histologic severity of EPE. Therefore, this study aimed to investigate the probability of EPE along the zonal level of the prostate by measuring tumor contact length (TCL) using multiparametric magnetic resonance imaging (mpMRI).

Patients and Methods::
Records of 308 patients who had undergone radical prostatectomy (RP) were identified. Tumor levels in the prostate were categorized as apex, mid-gland, and base, after which the correlation between TCL measured using MRI and microscopic EPE on pathologic specimens was evaluated. Univariable and multivariable logistic regression analyses were performed to assess the association among tumor origin, index tumor diameter, and TCL measured using MRI and microscopic EPE in RP specimens.

Results:
Among the 214 patients included, 45 apical cancers (21%), 87 mid-gland cancers (41%), and 82 base cancers (38%) were observed. Pathological reports revealed that 18 (40.0%) apex, 31 (35.6%) mid-gland, and 50 (61.0%) base tumors were pT3a. Multivariable analysis demonstrated that the zonal level of the tumor, especially the base level, was an independent predictive factor for EPE (P < 0.001), and the AUC value of the base tumor was 0.858.

Conclusion:
Prostate cancers arising from the base were more likely to exhibit EPE than those arising from the mid-gland and apex of the prostate gland. Therefore, identifying the origin of the zonal level of prostate cancer may help guide treatment decisions and predict clinical prognosis.
Docking Analysis of Deltamethrin Pesticide with MHC I and MHC II
Molecules to Establish Immunomodulation Effects
Authors: Kumar Anupam , Singh Bhupender , Kumar Deepak , Verma Anil , Wadhwa Pankaj 
Published: September 2023

Background:
Deltamethrin is a class II synthetic pyrethroid pesticide extensively used to control pests and vectors in the agriculture sector and health management programme. Due to excessive applications of this pesticide in the environment, it is harming many organisms other than the target organisms. Higher organisms like human beings are also affected by this pesticide because it instigates the impairment of the central nervous system and also distresses the immune system of vertebrates.

Methods:
In the current research study, MHC I and MHC II molecules of human origin have been targeted to evaluate the interaction with deltamethrin molecules by the AutoDock tool to establish the immunomodulatory effect. MHC I receptor molecule is presented on every nucleated cell, and MHC II receptors are located specifically on cell surfaces of antigen-presenting cells. These receptors play a role in cell-mediated and humoral immune responses. The binding affinity of deltamethrin with MHC receptors can affect the immune response, specifically the acquired immunity of an individual.

Results:
Findings of the current research study support that deltamethrin causes the suppression of the immune system by interaction with MHC I and MHC II molecules and may cause the organisms to be more prone towards antigen and disease development.

Conclusion:
The autoDock tool can be utilized to analyse other pesticides’ effects on the immune system and in the drug development process to minimize the toxic effects due to several types of pesticides.
In silico Study of Clinical Prognosis Associated MicroRNAs for Patients
with Metastasis in Clear Cell Renal Carcinoma
Authors: Wijaya Ezra B. , Mekala Venugopala Reddy , Zaenudin Efendi , Ng Ka-Lok 
Published: September 2023

Background:
Metastasis involves multiple stages and various genetic and epigenetic alterations.
MicroRNA has been investigated as a biomarker and prognostic tool in various cancer types and
stages. Nevertheless, exploring the role of miRNA in kidney cancer remains a significant challenge,
given the ability of a single miRNA to target multiple genes within biological networks and pathways.

Objective:
This study aims to propose a computational research framework that hypothesizes that a set
of miRNAs functions as key regulators in modulating gene expression networks of kidney cancer survival.

Methods:
We retrieved the NGS data from the TCGA-KIRC extracted from UCSC Xena. A set of
prognostic miRNAs was acquired through multiple Cox regression analyses. We adopted machine
learning approaches to evaluate miRNA prognosis's classification performance between normal, primary
(M0), and metastasis (M1) samples. The molecular mechanism between primary cancer and metastasis
was investigated by identifying the regulatory networks of miRNA's target genes.

Results:
A total of 14 miRNAs were identified as potential prognostic indicators. A combination of
high-expression miRNAs was associated with survival probability. Machine learning achieved an average
accuracy of 95% in distinguishing primary cancer from normal tissue and 79% in predicting the metastasis
from primary tissue. Correlation analysis of miRNA prognostics with target genes unveiled regulatory
network disparities between metastatic and primary tissues.

Conclusion:
This study has identified 14 miRNAs that could potentially serve as vital biomarkers for
diagnosing and prognosing ccRCC. Differential regulatory networks between metastatic and primary
tissues in this study provide the molecular basis for assessment and therapeutic treatment for ccRCC patients.
Prediction of Plant Ubiquitylation Proteins and Sites by Fusing Multiple
Features
Authors: Guan Meng-Yue , Qiu Wang-Ren , Wang Qian-Kun , Xiao Xuan 
Published: September 2023

Introduction:
Protein ubiquitylation is an important post-translational modification (PTM), which is considered to be one of the most important processes regulating cell function and various diseases. Therefore, accurate prediction of ubiquitylation proteins and their PTM sites is of great significance for the study of basic biological processes and the development of related drugs. Researchers have developed some large-scale computational methods to predict ubiquitylation sites, but there is still much room for improvement. Much of the research related to ubiquitylation is cross-species while the life pattern is diversified, and the prediction method always shows its specificity in practical application. This study just aims at the issue of plants and has constructed computational methods for identifying ubiquitylation protein and ubiquitylation sites.

Method:
In this work, we constructed two predictive models to identify plant ubiquitylation proteins and sites. First, in the ubiquitylation proteins prediction model, in order to better reflect protein sequence information and obtain better prediction results, the KNN scoring matrix model based on functional domain Gene Ontology (GO) annotation and word embedding model, i.e. Skip-Gram and Continuous Bag of Words (CBOW), are used to extract the features, and the light gradient boosting machine (LGBM) is selected as the ubiquitylation proteins prediction engine.

Results:
As a result, accuracy (ACC), Precision, recall rate (Recall), F1_score and AUC are respectively 85.12%, 80.96%, 72.80%, 76.37% and 0.9193 in the 10-fold cross-validations on independent dataset. In the ubiquitylation sites prediction model, Skip-Gram, CBOW and enhanced amino acid composition (EAAC) feature extraction codes were used to extract protein sequence fragment features, and the predicted results on training and independent test data have also achieved good performance.

Conclusion:
In a word, the comparison results demonstrate that our models have a decided advantage in predicting ubiquitylation proteins and sites, and it may provide useful insights for studying the mechanisms and modulation of ubiquitination pathways