bluuebunny/crossref_metadata_2025_split huggingface dataset:
Smart Polymer Systems: A Futuristic Approach to Enhance Therapeutic Efficacy
Authors: Seth Avinash Kumar , Parmar Ghanshyam , Aundhia Chintan , Shah Nirmal , Gohil Dipti 
Published: May 2024

Abstract:
Recently, pharmaceutical industries have placed considerable emphasis on formulating
drug delivery systems that precisely target specific sites, optimize drug utilization,
minimize excipient usage, and mitigate side effects. Smart polymers hold tremendous
promise in the design of innovative formulations tailored to deliver drugs with enhanced
precision, efficacy, and therapeutic benefits while minimizing adverse effects. Within drug
delivery, smart polymers demonstrate exceptional potential in achieving controlled and
targeted release profiles, ensuring drug delivery to specific receptors, and minimizing offtarget
effects. This comprehensive review article focuses on the latest developments in
smart polymers, primarily in the domains of drug delivery. By intelligently responding to
external stimuli, smart polymer-based materials offer various applications, making them
pivotal in modern pharmaceutical research. By utilizing the remarkable attributes of smart polymers, researchers
and industry stakeholders can forge a path toward personalized, efficient, and patient-centric therapies with
reduced side effects, propelling the pharmaceutical field into an era of unprecedented advancements.
Recent Advancements and SAR Studies of Synthetic Coumarins as MAO-B Inhibitors: An Updated Review
Authors: Kaur Prabhjot , Rangra Naresh Kumar 
Published: May 2024

Background:
The oxidative deamination of a wide range of endogenous and exogenous
amines is catalyzed by a family of enzymes known as monoamine oxidases (MAOs), which are reliant
on flavin-adenine dinucleotides. Numerous neurological conditions, such as Parkinson's disease
(PD) and Alzheimer's disease (AD), are significantly correlated with changes in the amounts of biogenic
amines in the brain caused by MAO. Hydrogen peroxide, reactive oxygen species, and ammonia,
among other toxic consequences of this oxidative breakdown, can harm brain cells' mitochondria
and cause oxidative damage.

Objective:
The prime objective of this review article was to highlight and conclude the recent advancements
in structure-activity relationships of synthetic derivatives of coumarins for MAO-B inhibition,
published in the last five years' research articles.

Methods:
The literature (between 2019 and 2023) was searched from platforms like Science Direct,
Google Scholar, PubMed, etc. After going through the literature, we have found a number of coumarin
derivatives being synthesized by researchers for the inhibition of MAO-B for the management
of diseases associated with the enzyme such as Alzheimer’s Disease and Parkinson’s Disease. The
effect of these coumarin derivatives on the enzyme depends on the substitutions associated with the
structure. The structure-activity relationships of the synthetic coumarin derivatives that are popular
nowadays have been described and summarized in the current study.

Results:
The results revealed the updated review on SAR studies of synthetic coumarins as MAO-B
inhibitors, specifically for Alzheimer’s Disease and Parkinson’s Disease. The patents reported on
coumarin derivatives as MAO-B inhibitors were also highlighted.

Conclusion:
Recently, coumarins, a large class of chemicals with both natural and synthetic
sources, have drawn a lot of attention because of the vast range of biological actions they have that
are linked to neurological problems. Numerous studies have demonstrated that chemically produced
and naturally occurring coumarin analogs both exhibited strong MAO-B inhibitory action. Coumarins
bind to MAO-B reversibly thereby preventing the breakdown of neurotransmitters like dopamine
leading to the inhibition of the enzyme A number of MAO-B blockers have been proven to be
efficient therapies for treating neurological diseases like Alzheimer’s Disease and Parkinson’s Disease.
To combat these illnesses, there is still an urgent need to find effective treatment compounds.
Bioprospecting Antibacterial Properties of Fungi Isolated from Kakinada Sea Coast and Eucalyptus Foliage
Authors: Mancheary John Prathyash Ushus , Kandula Siva Kumar , Valiyaparambil Shilpa , Kotakonda Muddukrishnaiah , Kallungal Sirajudheen Mukriyan , Periyasamy Bharathi , Peddi Koteswari , Metta Venkata Satya Mahesh Kumar , Cheekatla Satyanarayana Swamy 
Published: May 2024

Background:
Fungi produce a wide range of secondary metabolites with bactericidal or bacteriostatic properties. In search of novel antibacterial compounds recently, many fungi of marine and plant origin have been studied for their antimicrobial properties.

Aims:
This work aimed to study bio-prospect marine and endophytic fungi for their antibacterial properties.

Methods:
Intensive microbiological methods were followed for isolation, differential growth, and qualitative screening of enzyme production. The isolates were characterised and identified based on morpho-taxonomy, 18S rRNA gene sequencing, and phylogenetic analysis of the tar-get genes. The antimicrobial activity of fungal ethyl acetate extracts against S. aureus, B. sub-tilis, and E. coli was evaluated using a well-diffusion method, and MIC was determined by the microdilution method. Cell lysis was observed through Transmission Electron Microscopy.

Results:
A BLAST search of 18S rRNA gene sequences of the marine isolates GSBT S13 and GSBT S14 showed 99.3 % sequence similarity with A. glaucus for both isolates and that of endophyte GSBT E3 showed 99.7 % sequence similarity with B. pinkertoniae. Cellulase pro-duction was comparatively higher in GSBT E3 and lipase from GSBT S13 and GSBT S14. Ethyl acetate extracts of GSBT S14 and GSBT E3 showed a clear zone of inhibition by the well-diffusion method, further confirmed by electron microscopy. HR-TEM showed that the ethyl acetate extracts of the isolates appeared to damage the cell membrane, leading to cell shrinkage and death in E. coli and S. aureus.

Conclusion:
GSBT S13 and GSBT S14 exhibited extracellular amylase, cellulase, and lipase activities. Ethyl acetate extracts of both GSBT S14 and B. pinkertoniae GSBT E3 showed better antibacterial properties against S. aureus.
Glymphatic System and Psychiatric Disorders: A Rapid Comprehensive
Scoping Review
Authors: Barlattani Tommaso , Grandinetti Paolo , Cintio Alexsander Di , Montemagno Alessio , Testa Roberta , D’Amelio Chiara , Olivieri Luigi , Tomasetti Carmine , Rossi Alessandro , Pacitti Francesca , De Berardis Domenico 
Published: May 2024

Background:
Since discovering the glymphatic system, there has been a looming interest in
exploring its relationship with psychiatric disorders. Recently, increasing evidence suggests an involvement
of the glymphatic system in the pathophysiology of psychiatric disorders. However, clear
data are still lacking. In this context, this rapid comprehensive PRISMA-ScR (Preferred Reporting
Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) scoping review
aims to identify and analyze current evidence about the relation between the glymphatic system and
psychiatric disorders.

Methods:
We conducted a comprehensive review of the literature and then proceeded to discuss the
findings narratively. Tables were then constructed and articles were sorted according to authors, year,
title, location of study, sample size, psychiatric disorder, the aim of the study, principal findings,
implications.

Results:
Twenty papers were identified as eligible, among which 2 articles on Schizophrenia, 1 on
Autism Spectrum Disorders, 2 on Depression, 1 on Depression and Trauma-related Disorders, 1 on
Depression and Anxiety, 2 on Anxiety and Sleep Disorders, 8 on Sleep Disorders, 2 on Alcohol use
disorder and 1 on Cocaine Use Disorder.

Conclusion:
This review suggests a correlation between the glymphatic system and several psychiatric
disorders: Schizophrenia, Depression, Anxiety Disorders, Sleep Disorders, Alcohol Use Disorder,
Cocaine Use Disorder, Trauma-Related Disorders, and Autism Spectrum Disorders. Impairment of the
glymphatic system could play a role in Trauma-Related Disorders, Alcohol Use Disorders, Cocaine
Use Disorders, Sleep Disorders, Depression, and Autism Spectrum Disorders. It is important to implement
research on this topic and adopt standardized markers and radio diagnostic tools.
Improving Oral Health in Prisons (PriOH): Protocol for a Randomized Controlled Trial (Preprint)
Authors: Bryne Emilie , Bergum Kathrine Høyvik , Gjedrem William Gilje 
Published: May 2024

BACKGROUND

People living in prisons often experience poor oral health, which could be attributed to their limited access to (dental) care, financial constraints, and a general lack of awareness and prioritization toward their oral hygiene. A pilot study involving motivational interviewing (MI) has shown promising results for improving the oral health outcomes of people living in prisons.

OBJECTIVE

The protocol for this study aims to assess the efficacy of integrated MI and oral hygiene packages in improving oral health among people living in prisons, compared to controls without added MI.

METHODS

This oral health in prisons study is a multicenter, randomized, double-blinded controlled trial that recruited inmates from 4 prisons in Rogaland County. The trial aimed to recruit 320 participants before randomly allocating them to either a control or intervention group. The intervention group received MI, consisting of a 30-minute session encouraging inmates to discuss their current and desired oral health behaviors and attitudes, highlighting discrepancies to motivate change. Assessments were conducted at 4 and 12 weeks after initiation. The primary outcome measurement is the mucosal-plaque scores to assess oral health behaviors, attitudes, and oral hygiene. Secondary outcome measurements are oral hygiene routines, sugary food and drink intake, oral health perception, and oral health-related questions.

RESULTS

Data collection started in November 2021 and ended in June 2023. A total of 327 participants were recruited, of which 126 received the intervention.

CONCLUSIONS

Integrating MI in oral health programs at prisons can significantly improve the oral health of incarcerated individuals. Should the results from this study demonstrate efficacy, it could be valuable insight for policy makers, oral health practitioners, and correctional services in addressing the needs of a traditionally underserved group before being scaled up to enhance dental care practices in prisons.

CLINICALTRIAL

ClinicalTrials.gov NCT05695443; https://clinicaltrials.gov/study/NCT05695443

INTERNATIONAL REGISTERED REPORT

DERR1-10.2196/60817
WORKING CAPITAL AND TAX PAYABLE: ANALYSIS OF INTERRELATIONSHIP IN MANUFACTURING COMPANIES
Authors: Adegbite Tajudeen A , Inyada Sunday Joseph 
Published: May 2024

Most of the manufacturing firms are blamed for the inability to fulfill their obligations to the government on working capital inadequacy and ineffective plan, control and monitoring which led to business failures, and profitability reduction which invariably reduced tax payable to the government in the past. To this effect, therefore, this study examined working capital effect on tax payable in Nigeria manufacturing companies. Ten manufacturing companies were selected from listed manufacturing companies in the Nigeria stock exchange jurisdiction from 2010 to 2022. The data sourced were: receivable, inventory, payable, profit before tax, and the firm size (the net asset of the companies) from published annual financial statement from 2010 to 2022. After the data arrangement, we employed panel data analysis to gauge working capital effect on tax payable in Nigerian manufacturing companies. We conducted unit root test (Panel) to examine the stationary of the variables. Pearson correlation, panel regression analysis, Feasible Generalized Least Squares (FGLS), and other post estimation tests like autocorrelation, heteroskedasticity test, and Hausman test was also launched to gauge the model suitability between random and fixed effect while Breusch – Pagan LM was further launched to select between random and Pooled OLS. The outcome shows that receivable, inventory, and payable are favourably significant to TAXPAB which ultimately divulges the significance of working capital components on tax payable. Conclusively, working capital significantly, statistically and progressively influences tax payable in Nigeria manufacturing companies. We further recommended that more efforts should be expended by manufacturing companies to effectively utilize their working capital in their custody because a goodexploitation of working capital enhances company’s profitability and augments the strength for markets competitiveness, firm value, and shareholders’ wealth.
Contract farming in transitional economies: A stakeholder theory perspective
Authors: Valentinov Vladislav , Imami Drini , Xhoxhi Orjon 
Published: May 2024

Abstract
In transitional economies, contract farming is widely recognized as a means for addressing numerous market failures affecting small farmers. Reviewing the scholarship on contract farming, we show that its traditional understandings have been framed by the narratives of transaction cost economics and power dynamics. We critically evaluate these narratives and demonstrate how stakeholder theory, with its relational understanding of business, offers a more comprehensive understanding of contract farming. We argue that a stakeholder theory perspective underscores the trust-based and collaborative nature of successful contract farming arrangements. It highlights the importance of informal and moral stakeholder relationships that compensate for the limitations of weak enforcement mechanisms and inadequate legal frameworks in transitional economies. This way, a stakeholder theory perspective on contract farming highlights its strategic management and business ethics dimensions, offering valuable guidance for cultivating successful stakeholder relationships.
VI Congreso de Arqueología de la Región Pampeana Argentina - VI CARPA - Libro de Resúmenes
Authors: Bonomo Mariano 
Published: May 2024

This contribution presents the first anthracological results of Los Tres Cerros 1 (LTC1) archaeological site, located in the insular zone of the Victoria department, Entre Ríos Province, in order to contribute to the understanding of the relationship between human groups whose inhabiting the site and the use of plant resources. The twelve radiocarbon dates obtained from the upper and middle levels of the site date the past human occupation between 1030 and 560 years BP. The coals concentrated and/or dispersed in stratigraphic position found during the excavation of the site were determined. The concentrated charcoals are considered as a sign of human selection and use of forest resources by past human populations, while the dispersed ones were employed to identify trees or shrubs landscape surrounding the mound. Arboreal elements: Ocotea sp. (Lauraceae), Sapium sp. (Euphorbiaceae), Enterolobium sp., Prosopis sp., Acacia sp. (Leguminoseae-Mimosoideae), Erythrina sp. (LeguminoseaePapilionoideae) and Cordia sp. (Boraginaceae); lianas elements: Passiflora? sp. (Passifloraceae?) and herbaceous elements: Cyperus sp. (Cyperaceae) were recognized. The results obtained in this paper are relevant to discuss the multiple uses of the plants by prehispanic human groups which inhabited the Upper Paraná Delta, either as fuels, raw materials for the manufacture of archaeological artifacts, housing or boats.
Exploring the role of traditional music elements in music art appreciation based on the hierarchical analysis method
Authors: Gao Yi 
Published: May 2024

Abstract
In this paper, the hierarchical analysis method is improved based on the expert empowerment method, and the enhanced cluster AHP variable weight comprehensive evaluation model is constructed. Then, various elements and important features of music were evaluated perceptually. The correlation between musical elements and emotional appreciation of music art was analyzed through the indexes of harmonic concordance and sound area. The constructed model was used to make a comprehensive evaluation of the application effect of musical elements in the appreciation of music art. The results show that the proportion of people paying attention to the acoustic concordance of melody, tempo, and rhythm in music appreciation is 88.2%, 66.5%, and 75%, respectively. All VIP values for acoustic consonance and the range of tonal regions exceeded 1, which implies that harmonies with more unity and music in higher tonal regions can increase pleasantness perception. This study explores new research paths and provides new theoretical guidance for designing music appreciation teaching.
Research on the Innovation of Education Mode of Art and Design Specialties in Colleges and Universities under the Background of Big Data
Authors: Ji Deyu , Li Wei 
Published: May 2024

Abstract
Art and design professional education can not keep up with the development speed of the industry, and there is no reference to the market demand data, failing to keep pace with the times, which brings many negative impacts on the employment of students. This paper suggests an art design professional education model that incorporates VR interactive scene technology for this reason. Through the double camera, we simulate the visual principle of the human eye, collect three-dimensional data from VR interactive scenes, and use the image coordinate system and pixel coordinate system conversion operations to pre-process the collected data. The optimal layout solution is sought by adjusting the layout to generate a realistic 3D model of the teaching scene and to realize the construction of the VR interactive scene. The principle and implementation process of the art professional education model supported by the VR interactive scene is elaborated, and the experimental comparison method is used to empirically analyze the art and design professional education model integrating VR technology. The results show that there is a significant difference between the experimental group and the control group in the dimensions of adaptability (0.004) and uniqueness (0.044) of design thinking and the cultivation of design thinking ability (0.016) (P<0.05), which indicates that the art and design professional education model integrating the VR scene interaction technology constructed in this paper has a significant effect on the enhancement of design thinking ability of college students.
Research on Construction and Application of Network Learning Space for Logistics Information Technology Specialized Courses on Higher Education Resource Platforms
Authors: Jian Xianghui 
Published: May 2024

Abstract
Network learning space can promote the informatization of logistics information technology professional education, and it has a unique function and value to facilitate the learning of students in colleges and universities. This paper constructs the network learning space for the logistics information technology professional class and analyzes the application effect of the network learning space using a questionnaire. The questionnaire for the analysis of students’ learning input in the online learning space under the educational resource platform is designed first. Then, the reliability and validity of each question item of the questionnaire are examined and rejected using a t-test, Cronbach’s alpha coefficient, KMO, and Bartlett’s spherical test. In the online learning space, students’ learning input was analyzed, and it was determined that the mean value of learning behavior input in each dimension was between 3.5 and 4.88 points, which was high. The analysis of the professional course scores found that the mean score of the logistics information technology work designed by the students in the experimental class (89.11 points) was significantly higher than that of the students in the control class (75.66 points), and there was a significant difference in the test scores (p=0.006<0.05). The educational resource platform network learning space constructed in this paper provides a reference path for the effective development of logistics information technology professional classes in colleges and universities. It lays a foundation for the construction of network learning space for other courses.
Distribution and clinical characterization of pathogenic bacteria in combined periodontal and endodontic lesions of periodontal origin by digital technology
Authors: Jing Zhixing , Mi Changjiang , Zhu Wanchun 
Published: May 2024

Abstract
In this paper, the Logistic regression model and χ2 automatic interaction test were used to study the distribution, number, and correlation of common pathogenic bacteria of periodontal origin with combined periodontal and endodontic lesions by sample training, extracting variable characteristics, and then these variables were modeled as characteristic variables of the regression model to test whether the independent variables were significantly correlated with the dependent variables. It is also necessary to perform χ2 automatic interaction test to compare with the normal distribution, and the results are merged into one group if they are the same and not incorporated into one group if they are different. After the merging was completed, the splitting was done. The study group had a detection rate of pathogenic bacteria of 50.70%, while the control group had a detection rate of 12.24%, according to the results. Campylobacter spp. was the main bacteria that infected periodontal pockets in the study group. And Clostridium spp. The root canal specimens were mainly from Corynebacterium spp. and Actinobacillus spp. There was a significant difference between the pathogenic species and the control group P<0.05. Campylobacter spp. was also a risk factor for co-morbidities (P=0.031). Intra-root canal tissue with its subgingival plaque pathogenic bacteria Ef, Pe (Ρ<0.05), Pg, Td, Tf (Ρ<0.01) played a more important role in the development of pulpitis. Before and after clinical treatment, Pgi showed the most significant decrease in bacterial counts (t=2.759, P=0.022).
Analysis of Machine Learning Application in Campus Network Traffic Anomaly Detection
Authors: Li Rongrong 
Published: May 2024

Abstract
In this paper, machine learning algorithms are first utilized to extract features of campus network traffic, and then the multi-attention mechanism is introduced to fuse the massive features extracted at different scales. Unsupervised learning is used to propose a method for detecting network traffic anomalies, and simulation experiments are conducted to verify the model’s performance. The results show that the detection rates of machine learning algorithms are all above 80%, the false alarm rate basically stays below 10%. The machine algorithms have higher accuracy than other algorithms in network data flow anomaly detection. This study has important reference value for campus network security research and verifies the important role of machine learning algorithms in detecting anomalies in campus network traffic.