bluuebunny/crossref_metadata_2025_split huggingface dataset:
Electrochemical Sensors for Detection of Phytomolecules: A Mechanistic
Approach
Authors: Katiyar Deepti , Manish  , Saxena Pal Rashmi , Bansal Priya , Kumar Abhishek , Prakash Surya 
Published: January 2024

Abstract:
High demand and ongoing technological advancements have created a market for sensors that is both varied and rapidly evolving. Bioactive compounds are separated systematically
to conduct an in-depth investigation, allowing for the profiling or fingerprinting of different
Plantae kingdoms. The profiling field is significant in elucidating the complex interplay of plant
traits, attributes, and environmental factors. Flexible technology advancements have enabled the
creation of highly sensitive sensors for the non-destructive detection of molecules. Additionally,
very specialized integrated systems that will allow multiplexed detection by integrating many
hybrid approaches have been developed, but these systems are highly laborious and expensive.
Electrochemical sensors, on the other hand, are a viable option because of their ability to accomplish exact compound detection via efficient signal transduction. However, this has not been investigated because of some obstacles to learning minimum metabolites' fundamentals and nonredox properties. This article reviews the electrochemical basis of plants, contrasting it with
more conventional techniques and offering both positive and negative perspectives on the topic.
Because few studies have been devoted to the concept of merging the domains, we've expanded
the scope of this work by including pertinent non-phytochemical reports for better report comparison.
Large B-cell Lymphoma with IRF4 Rearrangement in the
Nasolacrimal Duct: A Clinicopathological Study of One Case and
Literature Review
Authors: Chen Wang-xing , Wu Jun , He Jian-guo 
Published: January 2024

Background:
Large B-cell lymphoma (LBCL) with interferon regulatory
factor 4 (IRF4) rearrangement (LBCL-IRF4) is a rare subtype of LBCL, with a high
prevalence in Waldeyer's ring as well as the neck, head and gastrointestinal lymph
nodes.

Materials and Methods:
patient with 2-month clinical symptoms of nasal obstruction
and facial swelling was reported in this short review. A nasal endoscopy examination
revealed a neoplasm in the inferior nasal meatus. Both CT and enhanced MRI showed
that a soft tissue occupied the nasolacrimal duct, with bone destruction, and extended
into the left nasal cavity and left lacrimal gland area. Then, a biopsy of the neoplasm in
the inferior nasal meatus was performed.

Results:
HE staining results showed that neoplastic cells presented diffuse growth
patterns, abundant cytoplasm, vacuole shape, lightly stained nuclei, and irregular
nuclear membrane. Immunohistochemistry staining results revealed MUM1(+), Bcl-
6(+), CD20(+), CD79α(+), and CD10(+). FISH analyses detected positive IRF4
rearrangement. LBCL-IRF4 was diagnosed in the patient. The patient received
treatment with four cycles of R‐CHOP and two times of rituximab, followed up for 2
years, and finally got complete remission.

Conclusion:
For the first time, we summarize the imaging and pathological features,
drug treatment, and curative effect of LBCL-IRF4 in the nasolacrimal duct.
1,2,4-Triazole-conjugated Fluoroquinolones as Potential Candidates for
New Antibacterial Agents
Authors: Uygun Cebeci Yıldız , Karaoglu Sengul Alpay 
Published: January 2024

Abstract:
In this study, synthesis of 1,2,4 triazole-fluoroquinolone hybrid compounds was realized.
7a-d hybrid compound was obtained as a result of mannich reaction with 6a-b triazole compounds
norfloxacin and ciprofloxacin. 1H-NMR, 13C-NMR, Mass Spectrometry and Elemental Analysis
confirmed the structures of all synthesized compounds. The antimicrobial activities of all compounds
were investigated, and it was observed that 7a-d compounds, which are mannich bases, showed excellent activity.
An Effective Algorithm Based on Sequence and Property Information for
N4-methylcytosine Identification in Multiple Species
Authors: Zhang Lichao , Wang Xueting , Xiao Kang , Kong Liang 
Published: January 2024

Abstract:
N4-methylcytosine (4mC) is one of the most important epigenetic modifications, which
plays a significant role in biological progress and helps explain biological functions. Although biological
experiments can identify potential 4mC sites, they are limited due to the experimental environment
and labor-intensive process. Therefore, it is crucial to construct a computational model to identify
the 4mC sites. Some computational methods have been proposed to identify the 4mC sites, but
some problems should not be ignored, such as those presented as follows: (1) a more accurate algorithm
is required to improve the prediction, especially for Matthew’s correlation coefficient (MCC);
(2) easier method is needed for clinical research to design medicine or treat disease. Considering these
aspects, an effective algorithm using comprehensible encoding in multiple species was proposed in
this study. Since nucleotide arrangement and its property information could reflect the sequence structure
and function, several feature vectors have been developed based on nucleotide energy information,
trinucleotide energy information, and nucleotide chemical property information. Besides,
feature effect has been analyzed to select the optimal feature vectors for multiple species. Finally, the
optimal feature vectors were inputted into the CatBoost algorithm to construct the identification model.
The evaluation results showed that our study obtained the highest MCC, i.e., 2.5%~11.1%,
1.4%~17.8%, 1.1%~7.6%, and 2.3%~18.0% higher than previous models for the A. thaliana, C. elegans,
D. melanogaster, and E. coli datasets, respectively. These satisfactory results reflect that the
proposed method is available to identify 4mC sites in multiple species, especially for MCC. It could
provide a reasonable supplement for biological research.
Concordance of Bronchoscopic and Radiological Findings in Suspected Lung Cancer and its Outcome- A Cross Sectional Study in a Tertiary Care Hospital
Authors: A.S. Arjun , H.J. Gayathri Devi , Jain Aditi 
Published: January 2024

Background:
Bronchoscopy and CT thorax are the most common investigations utilized
to screen and diagnose lung cancer. Their individual utility in diagnosing lung cancer has
been described affirmatively in existing literature. Studies correlating the airway characteristics of
the two modalities in lung cancer are limited.

Objectives:
To analyze and characterize lung lesions bronchoscopically and correlate the same radiologically
by CT of the thorax and thus assess its positive predictive value.

Methods:
In this prospective study, 56 consecutive adults who presented to the Respiratory
Medicine Department at a tertiary care hospital in South India from November 2018 to June 2020,
having Clinico-radiological suspicion of malignancy and fulfilling study criteria, were recruited.
They were subjected to CECT of thorax and bronchoscopy. All bronchoscopic procedures were
performed using a protocolized number of passes for biopsy. The baseline demographic and clinical
data, findings of bronchoscopy and CT and biopsy reports were recorded. Cohen’s kappa coefficient
was used to estimate the agreement of findings on the two modalities. Statistical analysis
was performed using SPSS software.

Results:
Bronchoscopy was normal in 22.14% of cases, the corresponding CTs also revealed normal
airway. Bronchoscopy revealed airway lesions in 78.6% of cases; the corresponding CT revealed
airway abnormalities in only 46.41% of cases; among these, 52.1% of cases revealed an
exophytic growth. There was fair strength of agreement for the two modalities in the detection of
airway lesions of lung cancer. (k = 0.38, p = < 0.001). CECT thorax has a negative predictive value
of 44%, a sensitivity of 59.1% and a specificity of 100% at 95% CI in the detection of airway
lesions.

Conclusion:
CT may not be definitive in the evaluation of lung cancer, especially in those with
central disease. A combination of the two modalities may improve the diagnostic outcome in patients
with lung cancer.
Oxadiazole Derivatives of Diclofenac as an Anti-proliferative Agent for
B-cell Non-Hodgkin Lymphoma: An In vitro and In Silico Studies
Authors: Qayyum Shaista , Jabeen Almas , Ashraf Sajda , Seraj Faiza , Khan Khalid Mohammad , Siddiqui Rafat Ali , Ul-Haq Zaheer 
Published: January 2024

Background:
Non-Hodgkin lymphoma of B cell origin is the common type of lymphoma-
related malignancy with poor response rate with conventional front-line therapies.

Aim:
The aim of the present study was to investigate the potential of new anti-inflammatory oxadiazole
derivatives of Diclofenac as an anti-lymphoma agent through in vitro and in silico approaches.

Method:
Anti-lymphoma potential was evaluated by alamar blue technique. MTT assay employed
for cytotoxicity. Gene and protein expression studies was performed by qRT-PCR and ELISA respectively.
Docking studies was performed by using MOE program.

Result:
Among five diclofenac derivatives, (II) showed promising anti-lymphoma effects, where it
inhibited the expression of BCL-2, p-38 MAPK and TGF-β in both follicular and Burkitt’s lymphoma
cells and was non-toxic against normal human fibroblast cells. The in silico studies against
BCL-2 revealed that the unsubstituted Sulphur group in (II) is involved in the crucial interactions
with the binding site residue.

Conclusion:
The compound (II) can be a potential therapeutic candidate for B-cell non-Hodgkin
lymphoma and deserves further development as a novel anti-lymphoma agent.
An Updated Review on the Role of Phytoconstituents in Modulating
Signalling Pathways to Combat Skin Ageing: Nature’s Own Weapons and
Approaches
Authors: Porwal Mayur , Rastogi Vaibhav , Chandra Phool , Shukla Swati 
Published: January 2024

Abstract:
Various geographical areas exhibit varying degrees of prevalence and severity of dermatological
issues. The most commonly observed skin issues among adolescents during their growth
period on a global scale encompass dry skin, dyspigmentation, wrinkles, fungal infections, as well as
benign and malignant tumors. These conditions arise as a consequence of diminished functional capacity
and heightened skin susceptibility. The primary manifestation of the whole process of skin
ageing is its visual presentation, which encompasses changes in both the structure and function of the
skin. The look and function of human skin exhibit particular variations as individuals age, representing
a time-dependent phenomenon. This review article primarily examines the discussion surrounding
the diverse phytoconstituents and their impact on signalling pathways in cellular metabolism, as
well as their interaction with environmental factors and xenobiotic agents that contribute to skin
aging. Ultraviolet (UV) light induces the rapid formation and subsequent accumulation of reactive
oxygen species (ROS) within skin cells, hence accelerating oxidative stress and the ageing process of
the skin. One effective approach to addressing age-related skin disorders entails the utilization of
exogenous supplementation through the consumption of dietary antioxidants, as well as the application
of antioxidant-based lotions to the skin prior to sun exposure. Several plant species include phenolic
components, including ascorbic acid, ellagitannins, and carotenoids, which have the ability to
protect the skin from harmful UV radiation, reduce inflammation and oxidative stress, and influence
several survival signalling pathways. This comprehensive study elucidated multiple processes by
which phytoconstituents exert their effects for intervention purposes. Additionally, it highlighted the
ability of these phytoconstituents to modulate the NF-κB signalling pathway, MAPK signalling, Nrf2
signalling, and other pathways, hence demonstrating their potential anti-aging properties.
Semaglutide’s Neuropharmacological Effects: From Glycemic Regulation
and Weight Loss to Potential Implications in Substance Use Disorders – A
Narrative Review
Authors: Völker Jes Sebastian Denis , Micluția Ioana Valentina , Vinași Ramona-Cristina 
Published: January 2024

Abstract:
This narrative review delves into the potential therapeutic implications of semaglutide, a
Glucagon-Like Peptide-1 (GLP-1) receptor agonist, in the context of Substance Use Disorders
(SUDs). By systematically exploring databases from 2011 to 2023, and incorporating foundational
works from 2004, a total of 59 articles were identified as pertinent to the topic. Utilizing the
SANRA scale for assessment, the quality and relevance of these studies were rigorously evaluated.
Preliminary findings indicate that semaglutide may play a pivotal role in modulating behaviors associated with SUDs, potentially providing fresh perspectives on the neurobiological mechanisms
underlying these disorders. While the precise pathways of action for semaglutide remain to be fully
deciphered, its recurrent mention in the literature underscores its emerging importance in the field
of SUD research. As the understanding of semaglutide's influence expands, it holds promise as a focal point in future studies, warranting further in-depth exploration to ascertain its full therapeutic
potential.
Structural, Morphological, Spectroscopic, and Dielectric Properties of
Ca-Mg Nanoferrites for High-frequency Applications
Authors: Kumari Sonam , Thakur Atul , Thakur Preeti 
Published: January 2024

Introduction::
Ca-Mg nanoferrites of composition Ca0.5Mg0.5Fe2O4 were
synthesized by wet chemical citrate precursor approach.

Methods::
The prepared nanoparticles were characterized by an “X-ray diffractometer,
Scanning electron microscopy, Diffused reflectance spectroscopy, and Impedance
analyzer”. In the XRD pattern, the most intense reflection was observed from the
(311) peak that corresponds to the cubic spinel phase of the prepared ferrite.

Results::
The average size of all crystallites was calculated to be 19 nm. The sample's
porosity was found to be 61%. In the SEM micrograph, uniformity in the size of the
particles was detected with some agglomeration. The calculated energy band gap
(1.91eV) reveals the semiconducting nature of the prepared material.

Conclusion::
The high value of the real part of the dielectric constant (290) and the
low value of loss tangent (0.17) reveals that the synthesized material can be useful in
magnetic cores, microwave components, and other high-frequency applications.
Antiviral Medications: Unravelling their Significance in Context to
COVID-19
Authors: Chalotra Rishabh , Singh Amanjot , Chib Shivani , Gautam Swati , Amanat Muhammed , Chaudhary Kakul , Kumar Manish , Singh Randhir 
Published: January 2024

Abstract:
Viruses represent a significant health menace due to their rapid transmissibility and
potential to cause worldwide pandemics, resulting in substantial loss of human life. Antiviral agents
play a pivotal role in mitigating the impact of viral infections. Nonetheless, treating viral infections is
a multifaceted process due to the inherent characteristics of viruses, such as their capacity to undergo
mutations and rapid evolution. Consequently, the effectiveness of current antiviral therapies can be
impeded. This review encompasses the diverse manners in which viruses, emphasizing COVID-19,
affect the human body and elucidates the challenges encountered in formulating efficacious antiviral
treatments. Moreover, the limitations of conventional antiviral therapies are underscored.
Additionally, a comprehensive compendium of 41 antiviral drugs is presented, detailing their
mechanisms of action and routes of administration. Subsequently, the discussion includes 9 drugs
repurposed for treating COVID-19, delineating their primary use as well as any accompanying side
effects. In conclusion, while antiviral drugs remain pivotal in the battle against viral infections, the
obstacles associated with their development and usage warrant careful consideration. Ongoing
research is imperative to devise more potent and less toxic antiviral interventions against COVID-19
infection.
Tailoring Ti3C2Tx MXene Flake Sizes for Modified Electrochemical
Performance: A Top-down Approach
Authors: Fan Yuchao , Mei Xu , Ye Li , Tian Qingyong , Zhang Renqi , Zhang Yingjiu , Li Xinjian 
Published: January 2024

Introduction:
Two-dimensional (2D) materials, such as MXene (Ti3C2Tx), have
garnered extensive attention in recent years due to their exceptional performance across various
domains. The flake size of Ti3C2Tx notably influences its specific surface area, a pivotal factor
in interfacial interactions within electrochemistry.

Method:
Presently, modifying the flake size of bulk Ti3C2Tx typically involves complex and
costly processes, like ultrasonic treatment and isolation. Leveraging the specific preparation
principle of MXenes, which involves etching the A layers in precursor MAX phases, a topdown
strategy for producing Ti3C2Tx flakes of desired sizes, has been proposed in this work. In
this approach, precursor Ti3AlC2 particles undergo ball-milling to adjust their size.

Result:
Through this innovative strategy, dispersions of Ti3C2Tx flakes with varying average
lateral sizes are generated, enabling an investigation into the impact of lateral size on the electrochemical
properties of Ti3C2Tx flakes. By controlling the ball milling time for Ti3AlC2 powders,
the resulting average sizes of Ti3C2Tx (0, 2, 4) are 6.34 μm, 2.16 μm, and 0.96 μm, respectively.
Particularly, the Ti3C2Tx (2) electrode, composed of 2.16 μm sheets, demonstrates remarkable
performance metrics. It exhibits a high areal capacitance of 845.0 mF/cm2 at a scan
rate of 5 mV/s, along with a gravimetric capacitance of 244.0 F/g at a current density of 1 A/g.

Conclusion:
This study presents a facile method to enable mass production of Ti3C2Tx with
sheets of varying sizes, addressing both small and large dimensions.
A Method and Algorithm for Implementing the Mandelbrot Set for Processing Complex Structured Images
Authors: Tomakova R. A. , Akhmadullin I. M. , Nefedov N. G. , Puzyrev E. I. , Malyshev A. A. 
Published: January 2024

The purpose of research. In our life, fractals are ubiquitous, for example, in nature, there are a huge number of figures similar to themselves and built according to certain laws. Fractals are used in computer graphics, economics, radio engineering, physics and many other fields. The use of fractals in various fields of science can open up many new possibilities. Therefore, the development of a software product designed to visualize the Mandelbrot set is an urgent task. The purpose of the research is to develop a software product designed for processing complex structured images based on fractal methods and algorithms for visualizing the Mandelbrot set.Methods. The Java programming language was used to implement the software product in order to visualize the Mandelbrot set. The SQLite database was used as a local data store. Libraries were also used: JavaFX ‒ to create a user interface; SQLite JDBC 3.21.0 ‒ to work with the SQLite database; imgscalr ‒ to scale images; Apache Commons IO 2.6 to work with the file system; ControlsFX v8.40.14 ‒ to create a user interface.Results. The developed software product based on fractal methods makes it possible to significantly highlight the textural features of images, on the basis of which the clustering operation of selected objects of interest in images is performed in order to export them for further classification.Conclusion. During the implementation of the project, a software product for visualization of the Mandelbrot set was implemented, which can be used to model objects having a fractal shape, in relation to the processing of complexly structured images containing invisible hidden features of objects in the images.
Method for Forming Linear Scales for Assessing Learning Outcomes with Control of the Adequacy of Indicator Variables
Authors: Maslak A. A. , Korobko A. I. 
Published: January 2024

The purpose of the research is to construct a linear scale for assessing learning outcomes, and to assess the relevance of the indicator variables involved in the formation of the scale.Methods. An analysis of existing approaches to assessing competencies has shown that the most effective approach is the activity-based approach, which involves assessing competencies as a result of current, milestone and/or final control in a discipline or group of disciplines. For this, a scale is needed ‒ a measuring tool that allows you to assess the level of knowledge in a given competency. The quality of the measurement instrument was assessed within the framework of latent variable theory based on the Rasch model. We used the interactive environment “Measurement of Latent Variables, developed in the laboratory of objective measurements of Kuban State University, and the RUMM 2020 software, which is widely used in our country for processing student testing results.Results. For the universal competence Able to manage one’s time, build and implement a trajectory of self-development based on the principles of lifelong education, software and a pool of test tasks have been developed. Using latent variable theory, the validity of a linear scale for this competency was tested. Linear scale indicators have been identified that most adequately characterize the quality of knowledge level assessment, and indicators with the greatest and least sensitivity to the level of knowledge in this competency have been identified.Conclusion. The developed linear scale for assessing learning outcomes was used to measure the level of development of the universal competence UC-6 among students of Kuban State University. The results obtained are necessary for monitoring the formation of the UC-6 competence and for determining the factors influencing the formation of this competence.
Technologies of Bioimpedance Spectroscopy in Decision Support Systems for the Diagnosis of Socially Significant Diseases
Authors: Shatalova O. V. , Stadnichenko N. S. , Efremov M. A. , Bashmakova I. A. , Lyakh A. V. , Serebrovsky A. V. 
Published: January 2024

The purposeof the research is to develop methods for the synthesis of hybrid classifiers to assess the risk of socially significant diseases using bioimpedance analysis.Methods. We developed a descriptor approach using impedance spectroscopy results, generating four amplitudephase-frequency responses from four quasi-orthogonal leads. They create the feature spaces necessary for our hybrid classifier in the diagnosis of pancreatic diseases, the autonomous intelligent agents of which are built on various paradigms: probabilistic neural networks, fuzzy logical inference, fully connected feedforward neural networks. We also presented a device structure for creating an informative feature space.Results. Experimental studies of the proposed methods and means of classifying medical rice were carried out on diagnostic tasks according to the classes "acute destructive pancreatitis" – "no acute destructive pancreatitis" and differential diagnosis tasks according to the classes "prostate cancer" ‒ "chronic pancreatitis". They showed that incorporating multi-frequency sensing into neural network-based classifiers allows the development of clinical decision support systems for disease diagnosis that are comparable in performance to existing clinical diagnostic methods. The results were confirmed in groups of male and female patients at different stages of cancer aged 25 to 80 years using a variety of diagnostic methods, including history, physical examination, assessment of comorbidities, laboratory tests, ultrasound, laparoscopy, intraoperative exploration and computed tomography.Conclusion. The use of bioimpedance spectroscopy and hybrid classifier models opens up new opportunities for accessible and objective diagnosis of pancreatic diseases, expanding the capabilities of intelligent medical decision support systems.