bluuebunny/crossref_metadata_2025_split huggingface dataset:
Revolutionizing Influenza Treatment: A Deep Dive into Targeted Drug Delivery Systems
Authors: Ghosh Sourav , Chowdhury Sejuti Ray , Rahaman Monosiz , Basu Biswajit , Prajapati Bhupendra 
Published: October 2024

Abstract:
Influenza, a highly transmissible respiratory infection caused by influenza viruses A
and B, poses a persistent threat to global public health due to its high mutation rate, ability to
develop resistance to existing antiviral drugs, and capacity for rapid spread. Current treatment
options, including four main classes of antiviral agents—adamantanes, neuraminidase inhibitors,
RNA-dependent RNA polymerase inhibitors, and polymerase acidic endonuclease inhibitors—
are limited by the emergence of drug-resistant viral strains, non-specific drug distribution, and
adverse side effects. Moreover, the effectiveness of traditional vaccines is often compromised by
antigenic drift and shift, necessitating the development of alternative therapeutic strategies. This
review comprehensively explores the potential of novel targeted drug delivery systems to address
these limitations and improve influenza management. Nanotechnology-based platforms,
including lipid-based, polymer-based, inorganic, and hybrid nanoparticles, offer enhanced drug
delivery through improved bioavailability, targeted action, and controlled release, thus minimizing
systemic toxicity and optimizing therapeutic outcomes. Inhalation delivery systems such as
dry powder inhalers (DPIs), nebulizers, and nanotechnology-based inhalation formulations provide
direct delivery of antiviral agents to the respiratory tract, ensuring rapid onset of action with
reduced systemic side effects. Transdermal delivery methods, including microneedle patches
and hydrogel-based systems, offer non-invasive alternatives that enhance patient compliance
and allow for sustained drug release. Furthermore, this review discusses recent innovations, such
as responsive drug delivery systems and multifunctional nanoparticles capable of simultaneous
delivery of multiple therapeutic agents, representing a significant advancement in the fight
against influenza. These novel approaches promise improved targeting and efficacy and enable
personalized treatment strategies, enhancing patient outcomes in both seasonal flu and pandemic
scenarios. Integrating these advanced drug delivery systems into clinical practice could revolutionize
the management of influenza, offering a promising pathway toward more effective and
safer therapies.
Discovery of New Natural Phytocompounds: The Modern Tools to Fight Against Traditional Bacterial Pathogens
Authors: Bhardwaj Deepika , Tiwari Dhananjay , Upadhye Vijay Jagdish , Ramniwas Seema , Rautela Indra , Ballal Suhas , Kumar Sanjay , Bhat Mahakshit , Sharma Shilpa , Kumar M Ravi , Pandey Pratibha , Khan Fahad 
Published: October 2024

Abstract:
Ongoing competition between disease-causing bacteria and human hosts has resulted
in the discovery of a wide array of antibacterials. The advent of antibacterials ushered in a promising
period in the realm of microbiology, but its brilliance was short-lived and soon diminished.
The excessive and incorrect use of antibacterials results in limited selection pressure on the targeted
microorganisms, which in turn promotes the evolution of microbes instead of killing them.
Consequently, antibacterial resistance has developed and given rise to strains that are resistant to
many drugs, leading to a significant increase in mortality rates. The current review delves into
the potential of novel natural phytocompounds as innovative solutions to combat these potential
bacterial threats. The review begins by showcasing the modus operandi of conventional antibacterial
drugs followed by addressing the mechanisms of resistance to antibacterial agents, which
have significantly lowered the efficacy of conventional treatments. In contrast, the review explores
the mechanism of antibacterial activity of plant-derived phytochemicals, unraveling the
various ways in which natural compounds interact with bacterial targets. Furthermore, the review
examines the synergism between plant phytochemicals and conventional antibiotics, showcasing
the efficacy of this combinatorial approach in overcoming resistance. The review concludes
by summarizing the current research and offering valuable insights into challenges in the
use of plant phytochemicals as antibacterial therapeutics. This comprehensive overview reinforces
the promise of incorporating modern scientific tools with traditional phytotherapy to develop
effective strategies against resistant bacterial pathogens.
Long Non-Coding RNA HCP5 Affects Ferroptosis in Lung Adenocarcinoma through miR-17-5p/HOXA7 Axis
Authors: Pan Qingyun , Tang Zige , Zheng Jiayu , Yan Lingxin , Chen Quanfang 
Published: October 2024

Background:
Ferroptosis, a regulated cell death initiated by Fe-dependent lipoperoxidation, is closely linked to the development of lung adenocarcinoma (LUAD). LncRNA human leukocyte antigen complex P5 (HCP5) has been confirmed as oncogenic in LUAD, but its function in ferroptosis is unknown.

Objective:
Based on the previous bioinformatics mining of the ceRNA (competitive endoge-nous RNA) network HCP5/miR-17-5p/ Homeobox A7 (HOXA7) related to ferroptosis in LUAD, in this study, we characterized the cell-based experiments to validate the binding be-tween the HCP5/miR-17-5p/HOXA7 axis and ferroptosis.

Methods:
The HCP5/miR-17-5p/HOXA7 linkage was identified by a two-luciferase reporter. Cell Counting Kit-8 (CCK-8) and Transwell assay were employed for the detection of viabil-ity, invasion, and migration of A549 cells, respectively. ACSL4 and SLC7A11 were associat-ed with ferroptosis, MMP 9, vimentin, and E-cadherin, which were associated with migration and invasion and were assessed by WB and qRT-PCR. Fe2+ and malondialdehyde (MDA) were analyzed using kits.

Results:
Over-expression of HCP5 enhances the growth, invasion, and migration of A549 cells by adjusting miR-17-5P to increase the expression of HOXA7. In addition, the knock-down of HCP5 elevated miR-17-5p, which inhibited HOXA7 expression and suppressed fer-roptosis and EMT in A549 cells.

Conclusion:
HCP5/miR-17-5p/HOXA7 can affect ferroptosis as well as the biological behav-ior of A549 cells.
Vaginal Synechiae in a Pregnant Woman with Past Surgery of Low Septum Resection: A Case Report
Authors: Pesikhani Maryam Deldar , Ghanbari Zinat , Vatanchi Atiyeh , Pourali Leila , Zafarbakhsh Azam 
Published: October 2024

Introduction:
Transverse vaginal septum is a rare mullerian anomaly. Patients with a
complete transverse vaginal septum are diagnosed during menarche with symptoms of abdominal
pain and amenorrhea. Here, we present a patient who underwent septal resection during puberty and
was referred in pregnancy due to vaginal synechiae.

Case presentation:
The patient was a 40-year-old primigravid referred to the maternity department
at 39 weeks of gestational age with labor pain and inability to perform a vaginal examination. She
had a past surgical history of low vaginal septum at 13 years old. The vagina was completely obstructed.
A thorough resection of the synechiae was performed along with a cesarean section to create
a drainage path.

Conclusion:
It is important to consider a pregnant woman's history of Müllerian abnormalities. In
these patients, due to the low frequency of intercourse and the conditions of progesterone dominance,
there is a possibility of re-stenosis and the imposition of cesarean section. Paying attention to
this possible complication and preventing it by using a dilator can be helpful.
A Review on Film Forming Spray Technology in Wound Management
Authors: Singh Sakshi , Prajapati Bijal , Dharamsi Abhay 
Published: October 2024

Purpose:
Skin is an important delivery channel for medications, providing both local and
systemic effects. One kind of novel medication delivery technology that is administered topically to
the skin is called a topical film forming system. The thorough analysis examines how film-forming
sprays have revolutionized a variety of fields, including wound care and medicine. The goal is to
present a thorough summary of the assessment criteria, composition, and most recent advancements
in film-forming sprays intended for wound healing.

Methods:
The evaluation parameters including film formation, morphology, flexibility, drying time,
pH, viscosity, skin irritation, water washability, bioadhesive strength, and container-related evaluations
are provided in a systematic manner for film-forming sprays. The review presents findings
from a range of research publications that demonstrate various approaches and strategies used to
evaluate the properties and effectiveness of film-forming spray formulations.

Results:
Examples from current research are given to show the variety of uses for film-forming
sprays in wound healing. Formulations containing human epidermal growth factor (hEGF) and water-
soluble chitosan, propolis from stingless bees, and a complexed polymer film-forming spray for
diabetic wound dressing are among the research offerings. In terms of stability, wound closure acceleration,
and regulated distribution of therapeutic substances, these formulations show encouraging
results.

Conclusion:
The review concludes that film-forming sprays represent a promising avenue in advanced
wound care, offering advantages such as enhanced flexibility, prolonged adherence, and
controlled drug delivery.
Fabrication and Characterisation of Oral Fast-Dissolving Film of Metoprolol Succinate
Authors: Dingalwar Achal , Pethe Anil , Telange Darshan , Telrandhe Umesh 
Published: October 2024

Introduction:
Oral, fast-dissolving films are an excellent alternative. The purpose of
adopting the solvent casting approach was to create a compelling oral film.

Methodology:
HPMC E15 and sodium alginate polymers were chosen based on their compatibility.
The produced films were evaluated in terms of organoleptic characteristics, weight, thickness,
folding durability, tensile strength, drug content homogeneity, surface pH, disintegration time, and
in-vitro dissolution kinetics.

Results:
Among the formulations, F2 had a disintegration time of 14.2 seconds and a phenomenal
drug release of 98% in 5 minutes. As a result, formulation F2 emerged as the best option, demonstrating
promising qualities for effective drug delivery.

Conclusion:
These films are made of thin strips and are easily applied to the tongue or oral mucosal
tissue. When they come into contact with saliva, they quickly hydrate and attach, resulting in
rapid medicine administration. Fast-dissolving oral films are an excellent alternative for patients
who have difficulty swallowing traditional drugs, such as pediatric, geriatric, bedridden, or developmentally
impaired people. These films are made of thin strips and are easily applied to the
tongue or oral mucosal tissue. When they come into contact with saliva, they quickly hydrate and
attach, resulting in rapid medicine administration.

other:
Nil
West African Medicinal Plant Substances and Molecules Activities Against Viral Hepatitis B and Hepatocellular Carcinoma
Authors: Zongo Pengdwendé Fabienne Ingrid , Bayala Bagora , Simpore Jacques 
Published: October 2024

Background:
Chronic hepatitis B virus (HBV) infection remains a major global public
health problem with devastating consequences, such as hepatocellular carcinoma. Currently, approved
treatments are limited to interferon and nucleoside/nucleotide analogues for chronic hepatitis
B and chemotherapy, radiotherapy, and surgery for cancer. Both treatments have their limitations,
making complete cure an elusive goal. Therefore, the identification of new therapeutic targets
using medicinal plants and the development of new antiviral and anticancer strategies are of
utmost importance.

Objective:
The aim of this review is to identify from the literature the substances and molecules of
West African flora involved in the fight against chronic hepatitis B and liver cancer and to provide
a summary of their mechanisms of action.

Methods:
Pubmed, HAL open science, and Google Scholar literature search engines were used to
identify medicinal plants and molecules from the West African flora.

Results:
Among West African countries, Gambia and Niger had the highest prevalence of hepatitis
B virus infection, and 09 West African countries had high rates of liver cancer. A number of
studies carried out in Mali, Benin, Senegal, and Burkina Faso enabled us to list anti-HBV and anticancer
plants, as well as a number of molecules isolated from plants found in West African regions.

Conclusion:
By offering a glimpse into the world of anti-HBV and anticancer molecules from
West Africa, this review provides valuable information to support the future development of herbal
antiviral and anticancer drugs.
Vitamin D and Neurological Health: Unraveling Risk Factors, Disease Progression, and Treatment Potential
Authors: Al Noman Abdullah , Afrosa Halima , Lihu Imanul Kabir , Sarkar Onusree , Nabin Naimur Rahman , Datta Monty , Pathak Rashmi , Sharma Himanshu 
Published: October 2024

Abstract:
This study explores the complex link between vitamin D and neurological illnesses, focusing
on how vitamin D affects possible risk factors, therapeutic applications, and the trajectory of
the disease. An epidemiological study has linked vitamin D insufficiency to several neurological
conditions, including Parkinson's disease, Alzheimer's disease, and multiple sclerosis. It is hypothesized
that immunomodulatory and anti-inflammatory properties of vitamin D contribute to its neuroprotective
effects. Two major mechanisms in dementia include neuroinflammation and oxidative
stress. Adequate levels of vitamin D have been shown in both animal models and human studies to
enhance both clinical outcomes and the duration of illness in those who have it. Other ways that vitamin
D contributes to its therapeutic potential include the production of neurotrophic factors, control
over neurotransmitter synthesis, and preservation of the blood-brain barrier. Despite the encouraging
outcomes, research is still being conducted to determine the optimal dosage and long-term
benefits of vitamin D supplementation on brain function. In order to furnish precise directives and
clarify the processes behind the neuroprotective impacts of vitamin D, future research must focus on
large-scale randomized controlled studies. . This study highlights the significance of maintaining
adequate levels of vitamin D as a modifiable risk factor for neurological disorders. Further study is
also required to comprehend the possible medical benefits of this vitamin fully.
Role Of Socioeconomics, Psychological State, and Attitude Toward Care Giving on Quality of Life of Dependent Patients’ Caregivers in the Northeast of Thailand
Authors: Pitiyoskhopong Jiranit , Loahasiriwong Wongsa , Thammasarn Krittiyanee 
Published: October 2024

Background
Caring for patients with dependency is a burden on primary caregivers, which impacts them economically, socially, and psychologically. The perception of caregiving and the psychological state associated with it further contribute to these effects.

Objectives
This cross-sectional analytical study aimed to study the socioeconomic and caregiving burden factors associated with the Quality of Life (QOL) of dependent patients’ caregivers in the Northeastern region of Thailand.

Methodology
A total of 1,335 dependent patients’ caregivers aged 18–59 years in the Northeastern Region of Thailand were selected by multistage random sampling to respond to a self-administered structured questionnaire. The Generalized Linear Mixed Model (GLMM) was performed to identify socioeconomic and caregiving burden factors associated with QOL while controlling the effects of covariates, presenting Adjusted Odds Ratio (AOR) and 95% Confidence Intervals (CI).

Results
Among 1,335 dependent patients’ caregivers, more than half of them had poor QOL (58.05%; 95% CI:39.28 - 44.65). Factors associated with poor QOL were age 46-59 years (AOR=4.30; 95% CI: 2.84-6.51, p-value<0.001), insufficient financial status with debt (AOR=5.89; 95% CI: 3.85-9.01, p-value<0.001), low caregiving knowledge level (AOR=2.43; 95% CI: 1.63-3.64, p-value<0.001), average to low attitude caregiving level (AOR=4.45; 95% CI: 3.30-5.99, p-value <0.001), and having depression (AOR = 3.57; 95% CI: 1.93-6.59, p-value<0.001).

Conclusion
The findings from this study have important implications for healthcare practice and policy—interventions aimed at improving the QOL of caregivers.
Investigating Transfer Learning based CNN for Multi-Crop Disease Recognition in Horticulture Crops using Wireless Multimedia Sensor Network
Authors: Kumari Priya , Kumar Prabhat 
Published: October 2024

Introduction:
Achieving sustainable growth in agricultural productivity is crucial for
addressing various challenges confronting food systems globally. One of the key aspects is effectively
identifying and addressing diseases that can adversely affect crop quality and yield.

Method:
This research study proposes the use of Wireless Multimedia Sensor Network (WMSN)
in conjunction with deep transfer learning model for disease detection in horticulture crops. The
proposed system utilizes the image data of horticulture crops obtained using WMSN for performing
a comparative assessment of several pre-trained deep learning models, encompassing VGG,
ResNet, MobileNet, Inception, Xception, DenseNet, and EfficientNet, to ascertain their effectiveness
in identifying diseases across a range of horticultural plants. The models undergo fine-tuning
using transfer learning technique and are assessed on different measures, such as accuracy, precision,
recall, F1 score, and the number of epochs needed for convergence using the image data obtained
from WMSN.

Results:
Among the compared models, EfficientNetB3 appears as the best performing model, surpassing
others in all evaluation metrics while also exhibiting low parameters and a compact size.
Notably, EfficientNetB3 achieves a testing accuracy of 93.69% and a training accuracy of 98.85%
after only 21 epochs of training. In contrast, DenseNet201, DenseNet169, and EfficientNetB0
demonstrate performance close to the best-performing models, but they have higher parameters or
sizes. On the contrary, ResNet50, InceptionV3, and Xception exhibit poorer performance, presumably
due to their substantial size in relation to the dataset.

Conclusion:
This analysis provides valuable insights for optimizing the top-performing models for
disease classification across various plant species. Moreover, the fine-tuned EfficientNetB3 model
shows potential for integration with mobile devices, facilitating real-time disease classification.
Typical Scenario Load Identification Based on Feature Fusion and Transfer Learning
Authors: Yi Lingzhi , Gao Yuhang , Wang Yahui , Luo Bote , Huang Zhehao , Liu Jiangyong 
Published: October 2024

Background:
The electricity demand is continuously increasing. However, various institutions,
enterprises, and individuals exhibit many irregularities in their electricity usage, leading to
significant wastage of electricity. To achieve effective energy management, researchers are attempting
to analyze and regulate users' electricity demands by monitoring their load usage through Non-
Intrusive Load Monitoring (NILM) technology. The accuracy of load identification in this technology
will greatly impact the results of load monitoring. Although there are currently many articles
and patents related to NILM, they utilize a large amount of computational resources and require
high sampling rates from devices, yet the results are still unsatisfactory. Therefore, it is necessary to
improve the accuracy of load identification in data with relatively low sampling frequencies.

Objective:
To improve the accuracy of load identification with low sampling frequency data, this
paper proposes a typical scenario load identification method based on feature fusion and transfer
learning.

Methods:
This method adopts the fusion of current and power factor angles to provide abundant
identification information for NILM, effectively reducing the situation of single-feature overlap of
different loads. By inputting the fused feature data into GoogLeNet and utilizing transfer learning
for training, not only is the accuracy improved, but also the training time and the requirement for
the sampling rate of training data are greatly reduced. In addition, selecting typical scenario loads
can monitor loads in a targeted manner, reduce the waste of computing resources caused by irrelevant
loads, and more effectively guide electricity usage strategies.

Results:
The proposed load identification method was tested on the low sampling frequency dataset
used in this paper. It achieved an overall load identification accuracy of 94.61% across three scenarios,
improving accuracy by 3% to 7% compared to other models.

Conclusion:
The simulation results indicate that this method achieves high load identification accuracy
at low sampling frequencies. It also exhibits good generalization ability. This method not only
reduces the performance requirements for monitoring equipment but also enhances monitoring efficiency.
PERAN OVERLAPPING GENERATIONS MODEL DALAM MENINGKATKAN KONSUMSI KESEHATAN RUMAH TANGGA
Authors: Ariansyah Candra , Shofwan  
Published: October 2024

A decline in household consumption expenditure on health may indicate a decline in households' ability to prevent health problems and treat illnesses. The proportion of household expenditure on health consumption is very small compared to the proportion of non-health consumption. Spending on health is still not a top priority for households compared to other expenditure components. One approach to understanding intergenerational health consumption is to use the Overlapping Generations (OLG) Model. The research objective is to analyse the factors that influence health consumption with the OLG model approach. Based on the test results using FDGMM and SYSGMM analysis, the previous year's health consumption, income, savings, labour, inflation, and Government Health Insurance (JKN) affect household health consumption.

Keywords: Household, OLG Model, Health Consumption, Income, Saving, Labour, Inflation, Government Health Insurance