bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Study on Leukemic and Non-small Cell Lung Cancer Efficacy of Novel Isoxazoles Synthesized by Microwave Irradiation
Authors: Pandya Mayank , Kapadiya Khushal 
Published: December 2020

Background:
The era of drug discovery suggested the designing of “hybrid drugs,” which
acquired recognition in the field of medicinal chemistry due to its influential role in preserving
different health challenges.

Objective:
A new series of chalcone derivatives 4a-4i, bearing isoxazole moieties, were designed and
synthesized with microwave irradiation, which were biologically evaluated for their activity on NCI-
60 cell-lines to check efficacy in anti-cytotoxic effect.

Methods:
The required diverse acetophenone molecule was prepared by chloro-amine coupling using
lansoprazole (lanso chloro) drug intermediate, i.e., 4-(2,2,2-trifluoroethoxy)-2-(chloromethyl)-3-
methylpyridine engaged in the reaction with various aryl aldehydes (2a-2i) in the primary media
gave fluoro contained chalcone (3a-3i). The desired isoxazoles (4a-4i) were synthesized by MW
(microwave irradiation) based reaction using hydroxylamine for cyclization purposes.

Results:
The espoused scheme resulted in good yields of a new set of isoxazole-chalcone conjugates
with potent cytotoxic activity, which were found in compounds 4h and 4i against the Leukemia
RPMI-8226 (With GI50 Values ≈ -10 μg/ml) cancer cell line and the Non-Small Cell Lung Cancer
HOP-92 (With GI50 Values ≈ -25 μg/ml) cancer cell line.

Conclusion:
The optimization of the reaction indicated that the MW based reaction progress was an
efficient and time-saving process for the course of isoxazole synthesis. An anticancer study shows
that compounds 4h demonstrated significant anticancer activity.
Exploring Nature’s Treasure to Inhibit β-Barrel Assembly Machinery of Antibiotic Resistant Bacteria: An In silico Approach
Authors: Verma Shalja , Pandey Anand Kumar 
Published: December 2020

Background:
The development of antibiotic resistance in bacteria is a matter of global
concern due to the exceptionally high morbidity and mortality rates. The outer membrane of most
gram-negative bacteria acts as a highly efficient barrier and blocks the entry of the majority of antibiotics,
making them ineffective. The Bam complex, β-barrel assembly machinery complex, contains
five subunits (BamA, B, C, D, E), which plays a vital role in folding and inserting essential
outer membrane proteins into the membrane, thus maintaining outer membrane integrity. BamA
and BamD are essential subunits to fulfill this purpose. Therefore, targeting this complex to treat
antibiotic resistance can be an incredibly effective approach. Natural bacterial pigments like
violacein, phytochemicals like withanone, semasin, and several polyphenols have often been reported
for their effective antibiotic, antioxidant, anti-inflammatory, antiviral, and anti-carcinogenic
properties.

Objective:
Structural inhibition of the Bam complex by natural compounds can provide safe and
effective treatment for antibiotic resistance by targeting outer membrane integrity.

Methods:
In-silico ADMET and molecular docking analysis was performed with ten natural compounds,
namely violacein, withanone, sesamin, resveratrol, naringenin, quercetin, epicatechin, gallic
acid, ellagic acid, and galangin, to analyse their inhibitory potential against the Bam complex.

Results:
Docking complexes of violacein gave high binding energies of -10.385 and -9.46 Kcal/mol
at C and D subunits interface and at A subunits of the Bam complex, respectively.

Conclusion:
Henceforth, violacein can be an effective antibiotic against to date reported resistant
gram-negative bacteria by inhibiting the Bam complex of their outer membrane. Therefore the urgent
need for exhaustive research in this concern is highly demanded.
Neutrophil-to-lymphocyte Ratio, Platelet-to-lymphocyte Ratio, C-reactive Protein to Albumin Ratio, and Albumin to Fibrinogen Ratio in Axial Spondyloarthritis: A Monocentric Study
Authors: Slouma Maroua , Rahmouni Safa , Dhahri Rim , Gharsallah Imen , Metoui Leila , Louzir Bassem 
Published: December 2020

Background:
C-reactive protein (CRP) and erythrocyte sedimentation rate (ESR) are
routinely used to assess disease activity in spondyloarthritis. New biomarkers have been reported,
such as neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), CRP to albumin
ratio (CAR), and albumin to fibrinogen ratio (AFR).

Aim:
Our study aimed to assess these ratios in spondyloarthritis and to determine the relationship
between these ratios and the disease activity.

Methods:
We conducted a cross-sectional study, including patients with spondyloarthritis. The following
ratios were calculated: PLR, NLR, AFR, and CAR. Pearson correlation analysis was carried
out to test the correlation of the data. Receiver operating characteristic curves were evaluated
for each ratio using ASDASCRP as the gold standard for disease activity.

Results:
Eighty-five patients were included. The sex ratio was 60 males to 25 females. The mean
age was 42.58 ± 11.75 years. There was a positive correlation between the PLR and the following
parameters: CAR, CRP, and ESR. A negative correlation was found between AFR and the following
ratios: PLR, NLR, CRP, and ESR. The ASDAS correlated negatively with AFR and positively
with both PLR and CAR. The cutoff values of CAR and PLR to distinguish patients with very high
disease activity (ASDASCRP>3.5) were 0.442 and 173.64, respectively.

Conclusions:
Given their good correlation with ESR and CRP, we suggest that PLR, CAR, and
AFR can be used as potential indicators of inflammation in spondyloarthritis. The CAR and PLR
are useful to identify patients with very high disease activity.
Bioactive Compound and Nanotechnology: A Novel Delivery Perspective for Diabetic Retinopathy
Authors: Debbarma Anima , Roy Probin Kr , Barbhuiya Samia B. , Das Jayita , Laldinchhana  , Lalhlenmawia Hauzel 
Published: December 2020

Background:
Diabetic retinopathy (DR) is one of the major complications of diabetes,
and the consequences often lead to loss of vision. Currently, the treatments for DR are expensive,
not easily available and the use of synthetic drugs leads to various toxic effects. Bioactive compound
has been reported to be an alternative for the treatment of DR due to its ability to target multiple
pathophysiological signaling pathways. However, bioactive compound suffers from some inherent
physicochemical characteristics which restrict their use as therapeutic agents.

Objective:
This review emphasizes an overview of the bioactive agents which are delivered as
nano-formulation for safe and effective ocular delivery for the treatment of DR. Additional focus
include site-specific ocular delivery with increased bioavailability to ensure highly efficacious treatment
of DR.

Results:
Utilization of various bioactive compounds such as polyphenols, flavonoids, tannins, etc.,
can counterbalance the damages that occur in the retinal tissues and thereby may ameliorate DR
progression. Encapsulation of these bioactive compounds in a nanotechnology-based delivery system
can improve bioavailability, reduce the toxic effect and achieve site-specific ocular delivery.

Conclusion:
The pros and cons of bioactive compounds in treating DR and the use of nanotechnology
to deliver bioactive compounds are discussed.
Design and Synthesis of New JAK1 Inhibitors based on Sulfonamide-
Triazine Conjugates
Authors: Daoud Safa , Taha Mutasem O. 
Published: December 2020

Aims:
Design of sulfonamide-triazine derivatives as JAK1 inhibitors.

Background:
JAK1 is a kinase involved in different autoimmune diseases. JAK1 inhibitors have shown promising results
in treating autoimmune diseases.

Objectives:
To design new JAK1 inhibitors based on sulfonamides-triazine conjugates capable of binding interactions
comparable to observed interactions anchoring potent crystallographic JAK1 inhibitors.

Methods:
The crystallographic structures of 4 diverse nanomolar inhibitors complexed within JAK1 were used to guide
the synthesis of new diaminotriazine-sulfonamide-based JAK1 inhibitors.

Results:
Nineteen compounds have been prepared some of which exhibited low micromolar IC50 values against JAK1.

Conclusions:
Crystallographic complexes of diverse JAK1 inhibitors were successfully used to guide the synthesis of
novel sulfonamide-triazine-based low micromolar JAK1 inhibitors.
Withdrawal Notice: Design and Synthesis of a Novel Gabapentin- Phosphotidylcholine Conjugate for Targeting to Phospholipase A2 Enzyme through Nanostructured Lipid Carrier
Authors: Anjali P.B  , Jawahar N.  , Jubie S.  , Yadav Neetu , Selvaraj A.  , Selvamuthukumar S.  
Published: December 2020

The article for the journal "Current Computer-Aided Drug Design" has been removed by the Publisher due to acute language
inconsistencies and grammatical errors.

Bentham Science apologizes to the readers of the journal for any inconvenience this may cause.

The Bentham Editorial Policy on Article Withdrawal can be found at https://benthamscience.com/editorial-policies-main.php

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Recent Advantages of Mediator Based Chemically Modified Electrodes; Powerful Approach in Electroanalytical Chemistry
Authors: Mousazadeh Farideh , Mohammadi Sayed Zia , Akbari Sedighe , Mofidinasab Nastaran , Aflatoonian Mohammad Reza , Shokooh-Saljooghi Arman 
Published: December 2020

Background:Modified electrodes have advanced from the initial studies aimed at understanding electron transfer in films to applications in areas such as energy production and analytical chemistry. This review emphasizes the major classes of modified electrodes with mediators that are being explored for improving analytical methodology. Chemically modified electrodes (CMEs) have been widely used to counter the problems of poor sensitivity and selectivity faced in bare electrodes. We have briefly reviewed the organometallic and organic mediators that have been extensively employed to engineer adapted electrode surfaces for the detection of different compounds. Also, the characteristics of the materials that improve the electrocatalytic activity of the modified surfaces are discussed.Objective:Improvement and promotion of pragmatic CMEs have generated a diversity of novel and probable strong detection prospects for electroanalysis. While the capability of handling the chemical nature of the electrode/solution interface accurately and creatively increases , it is predictable that different mediators-based CMEs could be developed with electrocatalytic activity and completely new applications be advanced.
Expression Profiles and Bioinformatics Analysis of Full-length circRNA Isoforms in Gliomas
Authors: Wu Jing , Song Xiaofeng 
Published: December 2020

Background:
Circular RNAs (circRNAs) are a newly discovered type of non-coding RNA,
which have been demonstrated to act as microRNA (miRNA) “sponges” to modulate gene expression.
Emerging evidence has confirmed that circRNAs take part in many biological processes in a variety of
malignant tumors, including gliomas, suggesting that they could serve as biomarkers or therapeutic targets
for tumors. The purpose of this study was to explore the roles of circRNAs in gliomas and to provide
valuable clues for clinical diagnosis and treatment.

Methods:
RNA-seq data with poly(A)-/RNase R treatment was employed to investigate the expression profiles of
circRNAs in tumor and paracancerous tissues derived from glioma patients. CircAST was used for full-length circRNA
reconstruction and quantification. Bioinformatics analyses, including GO enrichment and KEGG pathway analyses, were
performed to reveal the potential biological process and pathways of their host genes. A circRNA-miRNA interaction
network was constructed to depict the interactions of the dysregulated circRNA transcripts with miRNAs.

Results:
A total of 20,474 circular transcripts that originated from 16,022 circRNAs were successfully reconstructed in the
samples. We detected 646 upregulated and 112 downregulated circular transcripts in tumor tissues compared with
paracancerous tissues. GO analysis revealed that their host genes may be related to positive regulation of GTPase activity,
regulation of synaptic transmission, and glutamatergic and dendrite morphogenesis in the cytoplasm and cytosol. KEGG
pathway analysis showed that the glutamatergic synapse, neurotrophin signaling pathway, and ErbB signaling pathway
may be linked to the occurrence and development of gliomas.

Conclusion:
Our study revealed a comprehensive profile of differentially expressed circRNA transcripts in gliomas,
indicating that aberrantly expressed circRNAs might play important roles in the occurrence and development of human
gliomas.
Recent Patents in Reuse of Metal Mining Tailings and Emerging Potential in Nanotechnology Applications
Authors: Atlagić Suzana Gotovac , Tankosić Ljiljana , Pržulj Sanja , Mirošljević Dragana 
Published: December 2020

Background:
Reuse of waste materials present in the technosphere, such as the metal mining
tailings is becoming a more economical and energy-efficient method for obtaining the raw materials
than the classical mining. Number of patents are presenting methods for tailings recycling, often in
construction industry and metallurgy. At the same time, world market for metallic nanomaterials is rapidly
increasing with numerous new applications and these two subjects should be connected.

Methods:
Paper presents the hypothesis that fine sludge from the metal mining tailings could be dominant
source of the raw material for the nanotechnology. The idea is based on the fact that most of the
usual publications present methodologies for synthesis of nanomaterials only from high-quality chemicals
which is often expensive and unsustainable. Proposition here says, that it would be more economical
to use the tailings as one of the technospheric wastes, directly by extracting the metal ions, selectively
precipitating their cations and subsequently using them in nanotechnologies. Arguments are given
by cross-comparison of the literature and patents on iron, bauxite, lead/zinc, copper, tailings and also
the extraction of rare earth elements from tailing resources.

Results:
Metal mining tailings are shown to be an emerging subject in various research papers and patents together with
other secondary raw materials.

Conclusions:
Use of the metal mining tailings as the resources in nanotechnology, is a large energysaving
potential. Taking advantage of this readily available technospheric waste which contains mostly
micrometer particles, should contribute also to the zero-metal waste goals.
An Analysis of PCOS Disease Prediction Model Using Machine Learning Classification Algorithms
Authors: Aggarwal Shivani , Pandey Kavita 
Published: December 2020

Background:
Polycystic ovary syndrome is commonly known as PCOS and it is surprising that it affects up to
18% of women in reproductive age. PCOS is the most usually occurring hormone-related disorder. Some of the symptoms
of PCOS are irregular periods, increased facial and body hair growth, attain more weight, darkening of skin, diabetes and
trouble conceiving (infertility). It also came into light that patients suffering from PCOS also possess a range of metabolic
abnormalities. Due to metabolic abnormalities, some disorder may occur which increase the risk of insulin resistance, type
2 diabetes and impaired glucose tolerance (a sign of prediabetes). Family members of women suffering from PCOS are
also at higher hazardous level for developing the same metabolic abnormalities. Obesity and overweight status contribute
to insulin resistance in PCOS.

Objective:
In the modern era, there are several new technologies available to diagnose PCOS and one of them is Machine
learning algorithms because they are exposed to new data. These algorithms learn from past experiences to produce
reliable and repeatable decisions. In this article, Machine learning algorithms are used to identify the important features to
diagnose PCOS.

Methods:
Several classification algorithms like Support vector machine (SVM), Logistic Regression, Gradient Boosting,
Random Forest, Decision Tree and K-Nearest Neighbor (KNN) are uses well organized test datasets for classify huge
records. Initially a dataset of 541 instances and 41 attributes has been taken to apply the prediction models and a manual
feature selection is done over it.
Results: After the feature selection, a set of 12 attributes has been identified which plays a crucial role in diagnosing
PCOS.

Conclusion:
There are several researches progressing in the direction of diagnosing PCOS but till now the relevant
features are not identify for the same.
The Role of Houseflies, Musca domestica L. (Diptera: Muscidae) as a Mechanical Vector for ESKAPE Pathogens and Drug Resistance
Authors: Karami Mohsen , Armaki Mojtaba Taghizadeh , Rajabnia Ramazan , Omran Saeid Mahdavi , Heidarpour Ali , Pournajaf Abazar 
Published: December 2020

Introduction:
The housefly (Musca domestica) is an important host for various pathogenic
bacteria, including the ESKAPE group, and acts as a reservoir for transmitting resistance factors. In
this regard, this study was performed in order to survey the role of houseflies as a mechanical vector
for ESKAPE pathogens and antibiotic resistance profiles of these strains in the four teaching hospitals
and rural areas in Babol, north of Iran. In this cross-sectional study, 280 adult house flies were collected
with a sterilized nylon net.

Methods:
All samples were put inside separately in a sterile tube and anesthetized using freezing at
0ᵒC for 5 minutes. Bacterial isolates were identified from the external and internal surfaces. The antibiotic
susceptibility test was performed by the disk diffusion method. A. baumannii, P. aeruginosa,
and Enterobacter isolates were not detected in rural samples. Only one methicillin-resistance S. aureus
was found in rural flies. In hospitals, the prevalence of the ESKAPE pathogens in the Cuticular surface
and GI were 22.9% and 22.1%, respectively.

Results:
In total, the highest and lowest frequency rate was related to P. aeruginosa (6.1%) and A.
baumannii (1.1%). Also, 66.7%, 5.9%, and 12.5% of A. baumannii, P. aeruginosa, and Enterobacter
were resistant to imipenem, respectively. 21.4% of E. faecium were resistant to vancomycin. In total,
63 (22.5%) bacterial species collected from both the cuticular surface and GI, 29 (46%) were multidrug-
resistant (MDR).

Conclusion:
Houseflies obtained from hospitals may be involved in the distribution of drug-resistant
bacteria and may increase the potential of human exposure to drug-resistant organisms.
Classification and Recognition of Electronic Components Based on Improved Cooperative Semi-supervised Learning Algorithm
Authors: Luo Dan 
Published: December 2020

Background:
As known that the semi-supervised algorithm is a classical algorithm in semi-supervised learning
algorithm.

Methods:
In the paper, it proposed improved cooperative semi-supervised learning algorithm, and the algorithm process is
presented in detailed, and it is adopted to predict unlabeled electronic components image.

Results:
In the experiments of classification and recognition of electronic components, it show that through the method
the accuracy the proposed algorithm in electron device image recognition can be significantly improved, the improved
algorithm can be used in the actual recognition process .

Conclusion:
With the continuous development of science and technology, machine vision and deep learning will play a
more important role in people's life in the future. The subject research based on the identification of the number of
components is bound to develop towards the direction of high precision and multi-dimension, which will greatly improve
the production efficiency of electronic components industry.
Evaluation of Strength of Concrete on the Different Initial Exposure Con-ditions
Authors: Mishra Sri Ram Krishna , Ghosh Pradeep Kumar , Kulshreshtha Manoj 
Published: December 2020

Background:
The previous studies have focused curing effect of mainly on high
strength concrete, where strict supervision is maintained. This study is based upon general purpose
concreting work for commercial and residential construction in absence of skilled manpower and
supervision.

Objective:
The objective of this study is to establish a thumb rule to provide 7 days initial curing
for maintaining quality for unsupervised concreting irrelevant to type of cement and grading.

Methods:
In this study concrete samples made with locally available commercial cements were
cured for various initial exposure.

Results:
The results shows that concrete cured after a gap of 4 days from the time of de-moulding
have given lowest strength as compared to concrete cured in standard practices i.e. where proper
curing protocol had been followed.

Conclusion:
Initial curing is most important aspect of gaining desired strength. The findings
after this study shows that curing affects the strength of concrete in variable grading.
Initial curing has great importance for concrete with all types of Portland cement. Concrete
with supplementary cementitious materials gives lowest strength initially but results
higher strength after 28 days as compared to Portland cement.