bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research Progress on Superhydrophobic Surface Preparation Methods and Mechanical Durability
Authors: Xun Meng , Li Zhaolong 
Published: February 2024

:
Superhydrophobic surfaces have great application prospects due to their unique surface-
wetting characteristics. However, superhydrophobic surfaces' micro-nano binary rough structure
and low surface energy components are easily damaged or lost by wear and grease, which affects
their durability and limits their practical application, so it is of great significance to study the
durability of superhydrophobic surfaces. The review first introduces the preparation methods and
application fields of superhydrophobic surfaces, then sorts out the test methods for the durability
performance of superhydrophobic surfaces, methods to improve the durability of superhydrophobic
surfaces are summarized, and finally points out some problems in the current research on the
durability of superhydrophobic surfaces, aiming to have a comprehensive understanding of the research
progress of durable superhydrophobic surfaces, provide some theoretical guidance for the
development of durable superhydrophobic surfaces, and look forward to the development direction
and trend of durable superhydrophobic surface research in the future.

:
There have been substantial improvements achieved in the preparation techniques to increase the
mechanical durability of superhydrophobic surfaces and widen their applications.

:
This review examines pertinent patents and articles on the fabrication of superhydrophobic surfaces
from both domestic and foreign sources.

:
The paper introduces the fundamental preparation methods for superhydrophobic surfaces and examines
three common techniques: The template method, the spraying method, and the etching
method. Additionally, the study discusses these preparation methods and presents future development
trends based on the latest research findings. Aiming at the mechanical durability of superhydrophobic
surfaces, the test methods for the durability performance of superhydrophobic surfaces
under mechanical action are reviewed. The paper also suggests four key methods for enhancing
the durability of superhydrophobic surfaces.

:
The refinement of superhydrophobic surface preparation techniques plays a crucial role in enhancing
durability and broadening the applications of these surfaces. Additionally, it holds the potential
to unlock new possibilities across various domains. The future holds promising prospects for
the invention of additional patents and papers focused on superhydrophobic surfaces.
Computing Task Offloading in Vehicular Edge Network via Deep
Reinforcement Learning
Authors: He Beibei , Su Shengchao , Wang Yiwang 
Published: February 2024

Background:
In recent years, with the development of the Internet of Vehicles, a variety
of novel in-vehicle application devices have surfaced, exhibiting increasingly stringent requirements
for time delay. Vehicular edge networks (VEN) can fully use network edge devices, such as roadside
units (RSUs), for collaborative processing, which can effectively reduce latency.

Objective:
Most extant studies, including patents, assume that RSU has sufficient computing resources
to provide unlimited services. But in fact, its computing resources will be limited with the
increase in processing tasks, which will restrict the delay-sensitive vehicular applications. To solve
this problem, a vehicle-to-vehicle computing task offloading method based on deep reinforcement
learning is proposed in this paper, which fully considers the remaining available computational resources
of neighboring vehicles to minimize the total task processing latency and enhance the offloading
success rate.

Methods:
In the multi-service vehicle scenario, the analytic hierarchy process (AHP) was first used
to prioritize the computing tasks of user vehicles. Next, an improved sequence-to-sequence
(Seq2Seq) computing task scheduling model combined with an attention mechanism was designed,
and the model was trained by an actor-critic (AC) reinforcement learning algorithm with the optimization
goal of reducing the processing delay of computing tasks and improving the success rate of
offloading. A task offloading strategy optimization model based on AHP-AC was obtained on this
basis.

Results:
The average latency and execution success rate are used as performance metrics to compare
the proposed method with three other task offloading methods: only-local processing, greedy strategy-
based algorithm, and random algorithm. In addition, experimental validation in terms of CPU
frequency and the number of SVs is carried out to demonstrate the excellent generalization ability of
the proposed method.

Conclusion:
The simulation results reveal that the proposed method outperforms other methods in
reducing the processing delay of tasks and improving the success rate of task offloading, which
solves the problem of limited execution of delay-sensitive tasks caused by insufficient computational
resources.
Detailed Analysis of the Anti-Inflammatory, Anti-oxidant, and Neuroprotective
Effects of the Potent Phytochemical Bacoside A
Authors: Wal Pranay , Verma Neha , Saxena Bhagawati , Singh Damini , Wal Ankita , Ved Akash , Rai Awani K , Sahani Vibhu 
Published: February 2024

Abstract:
Bacoside A is a vital bioactive component of the Indian medicinal herb Bacopa monnieri,
which ranks second among the most significant medicinal plants. Bacoside A was discovered
to have more pharmacological activity than bacoside B. It has been used in Ayurvedic medicine to
treat mental problems and memory loss. It also possesses antioxidant, antidepressant, antiulcer,
hepatoprotective, ant-cancerous, vasodilator and other pharmacological properties. The main objective
of this review is to highlight the importance of Bacoside A in the treatment of various diseases.
Several sources were used to acquire the material, including review articles published in
various publications, such as PubMed, Scopus, Bentham Science, Elsevier, Springer Nature,
Wiley, and Research Gate, which were used to compile the data for the article following a thorough
analysis of the various research findings connected that had keywords, such as Bacoside A,
Ayurvedic medicine, Brahmi, jujubogenin. Bacoside-A, derived from the Bacopa monniera plant,
is a traditional medicine said to have therapeutic qualities. Various studies have found that bacoside-
A has considerable therapeutic benefits. All of the evidence suggests that Bacoside-A has
multiple therapeutic properties in regulating the various biological processes as well as paving the
path for the treatment of various disorders in modern medicine. The current review focused on the
pharmacological action of bacoside A. The results of the pharmacological investigations indicated
that Bacoside A had a wide range of pharmacological effects, including those on the central nervous
system (memory improvement), antioxidant, anti-inflammatory, antiparkinsonian, anticancer,
and more.
Extraction, Phytochemistry & Pharmacological Potential of Camellia
sinensis: A Comprehensive Review
Authors: Kaur Prabhjot , Gandhi Simran , Sharma Rubal , Kaur Lovepreet , Pal Mahak , Deswal Geeta , Chopra Bhawna , Grewal Ajmer Singh , Dhingra Ashwani K. 
Published: February 2024

Abstract:
Camellia sinensis (L.) is acknowledged globally as the second most consumed beverage
after water. Researchers have dedicated substantial efforts to validate the claims surrounding this
plant through rigorous pharmacological screening, aiming to substantiate its traditional applications
in treating various ailments. This work extensively delves into aspects such as marketed formulations
of green tea, extraction techniques, phytochemistry, pharmacology, interactions between drugs and
green tea, and its distinctive characteristics. Key research unequivocally suggests that green tea holds
substantial health benefits for individuals. Presently, a multitude of pharmacologically active constituents
have been successfully isolated and identified from green tea, encompassing polyphenols, alkaloids,
amino acids, polysaccharides, and volatile components. Recent investigations have illuminated
the broad spectrum of pharmacological properties exhibited by green tea, encompassing antioxidant,
anticancer, hypoglycemic, antibacterial, antiviral, and neuroprotective attributes. The review amalgamates
current research findings to present a thorough understanding of the diverse bioactive compounds
found in Camellia sinensis, such as polyphenols, catechins, and alkaloids, and their contributions
to its health-promoting properties. The review further highlights the significance of extraction
techniques in preserving and enhancing the bioactivity of these compounds. Overall, this comprehensive
review serves as a valuable resource for researchers, practitioners, and enthusiasts, consolidating
the current knowledge surrounding Camellia sinensis and its multifaceted role in promoting human
health.
Artificial Intelligence-based Fair Allocation in NOMA Technique: A
Review
Authors: Kirtay Seda , Yildiz Kazim , Bocekci Veysel Gökhan 
Published: February 2024

:
Non-Orthogonal Multiple Access (NOMA) is an innovation that has great potential in
wireless communication. It permits multiple users to efficiently allot a frequency band by adjusting
their power allocations. Nevertheless, attaining fair power allocation in NOMA structures presents
complex challenges that require specific models, extensive training data, and addressing issues of
generalization. This review aims to explore the applications of Artificial Intelligence (AI) and Deep
Learning (DL) methods to tackle the challenges associated with fair power allocation in NOMA
systems. The focus is on developing strong AI-DL models and creative optimization methods specifically
designed for dynamic environments to improve transparency and interpretability. This
study explores a wide range of techniques, including Reinforcement Learning, Convolutional Neural
Networks (CNN) for power allocation, Generative Adversarial Networks, Deep Reinforcement
Learning, and Transfer Learning. The goal is to enhance various aspects, such as power allocation,
user coupling, scheduling strategies, interference cancellation, user mobility, security, and deeplearning-
based NOMA. Despite the difficulties, impartial power allocation algorithms based on AI
and DL show promise in improving user performance and promoting fair power distribution in
NOMA systems. This study emphasizes the significance of continuous research efforts to overcome
current obstacles, enhance efficiency, and strengthen the dependability of wireless communication
systems. This highlights the significance of NOMA as an advanced innovation for upcoming wireless
generations that go beyond 5G. Future areas of study involve investigating federated learning
and novel techniques for gathering data and utilizing interpretable AI-DL models to address existing
constraints. Overall, this review highlights the potential of AI and DL techniques in achieving
fair power distribution in NOMA systems. However, further investigation is crucial to addressing
obstacles and fully exploring the capabilities of NOMA technology.
A Systematic Review on the Application of Power Eelectronics in Renewable Energy Systems using SWOT Analysis
Authors: Mumtaz Naiyer , Ahmed Md. Irfan , Pandey Harsh Wardhan 
Published: February 2024

Background:
The frequency of energy crises due to shortage of fuel or rise in fuel prices
has increased in the past decade. This may be due to increasing energy demand, the financially
crippled state of the distribution companies, high prices of fuel, shortage of fuel, tension between
the countries, etc. Apart from this, climate change, global warming, and rising environmental concerns
have necessitated the need to search for more sustainable alternative sources of electricity. It
has created a lot of interest in Renewable Energy Sources (RES), which includes solar, wind and
hydropower. Even governments all around the world are introducing policies to support the adoption
of RES for the generation of electricity and have set the target to achieve the Net-Zero emission
level by decarbonizing the power sector.

Methods:
This paper provides an overview of all the prominent renewable energy technologies,
namely solar power plants, wind energy plants, biomass and hydropower, using a systematic review
procedure. In addition to this, the importance of Power Electronic Technologies (PET) in the
integration of RES in today’s power system has also been presented. Further, a SWOT analysis
framework has also been utilized to evaluate the strengths, weaknesses, opportunities and threats
associated with the application of PET in renewable energy systems.

Results:
The results from the analysis showcases that the implement of PET offers significant
strength for the implementation of RES in the power system by providing increased system efficiency,
and improved power quality. However, the technologies also face some of the weakness of
limited scalability, regulatory concerns, high initial cost etc. Further, the different opportunities
for a widespread adoption of PET have been discussed in this paper. Finally, all the threats concerning
the implementation of the PET in the RES in the modern power system have also been
highlighted.

Conclusion:
The purpose of this research work is to classify recent research techniques on renewable
energy sources that were published between the years of 2010 to 2022 through a systematic
and statistical review framework to showcase the need for power electronic technologies for the
implementation of RES.
Cynara Cardunculus Flavonoids-rich Fraction Alleviates Liver Injury in
Mice Overconsumed Fructose Model
Authors: Baali Nacera , Belloum Zahia , Benayache Fadila , Benayache Samir 
Published: February 2024

Background:
Non-alcoholic Fatty liver disease (NAFLD) is becoming a major global
health burden in the world. Cynara cardunculus is an edible plant growing wild in the North of
Algeria. Its potential as a source of health-promoting compounds is still underexplored.

Objectives:
This study aimed to explore the preventive effect of Cynara cardunculus
(C.cardunculus) on the NAFLD model.

Methods:
Total flavonoid contents (TFC) and in vitro antioxidant effects of butanolic (n-
BuTOH) and ethyl acetate (EtOAc) fractions on scavenging the ABTS+ radical, inhibition of lipid
peroxidation and reducing power proprieties were assessed. The n-ButOH fraction showed
the highest TFC and antioxidant capacity in all realized assays. This fraction is used for anti-
NAFLD experiments. Adult male Albinos mice were divided into four groups. Group 1 was
normal control. Group 2 was watered with 30% of fructose for three weeks to induce the
NAFLD model. Group 3 and Group 4 were co-treated with C. cardunculus n-ButOH fractions
and Atorvastatin, respectively for three weeks. Blood and livers were collected for biochemical
and histological analysis.

Results:
The C. cardunculus n-ButOH fractions significantly restored levels of transaminases,
triglycerides, cholesterol, LDL, glucose and uric acid. The n-ButOH fraction exerted an improving
effect on the body and liver weight and liver index. It also significantly corrected the imbalance
in liver MDA and GSH levels. The n-ButOH fractions further ameliorated abnormalities in
liver histology through suppression of lipid droplet accumulation.

Conclusion:
This research proves that the flavonoid-rich fraction of C. cardunculus has protective
activity against high fructose intake in mice via reversing hyperlipidemia and boosting liver
antioxidant capacity.
Production, Optimization, and Characterization of Bio-cellulose Produced from Komagataeibacter (Acetobacter aceti MTCC 3347) Usage of Food Sources as Media
Authors: Ahmed Mazia , Saini Pinki , Iqbal Unaiza 
Published: February 2024

Introduction:
Bio-cellulose is a type of cellulose that is produced by some particular
group of bacteria, for example, Komagataeibacter (previously known as Acetobacter), due to
their natural ability to synthesize exopolysaccharide as a byproduct. Gluconacetobacter xylinus
is mostly employed for the production of bio-cellulose throughout the world. Therefore, exploring
other commonly available strains, such as Komagataeibacter aceti (Acetobacter aceti), is
needed for cellulose production.

Methods:
Bio-cellulose is one of the most reliable biomaterials in the limelight because it is
highly pure, crystalline, and biocompatible. Hence, it is necessary to enhance the industrial manufacturing
of bio-cellulose with low costs. Different media such as fruit waste, milk whey, coconut
water, sugarcane juice, mannitol broth, and H&S (Hestrin and Schramm’s) broth were utilized
as a medium for culture growth. Other factors like temperature, pH, and time were also optimized
to achieve the highest yield of bio-cellulose. Moreover, after the synthesis of biocellulose,
its physicochemical and structural properties were evaluated.

Results:
The results depicted that the highest yield of bio-cellulose (45.735 mg/mL) was found at
30 °C, pH 5, and on the 7th day of incubation. Though every culture media experimented with synthesized
bio-cellulose, the maximum production (90.25 mg/mL) was reported in fruit waste media.
The results also indicated that bio-cellulose has high water-holding capacity and moisture content.
XRD results showed that bio-cellulose is highly crystalline in nature (54.825% crystallinity). SEM
micrograph demonstrated that bio-cellulose exhibited rod-shaped, highly porous fibers. The FTIR
results demonstrated characteristic and broad peaks for O-H at 3336.25 cm-1, which indicated
strong O-H bonding. The thermal tests, such as DSC and TGA, indicated that bio-cellulose is a
thermally stable material that can withstand temperatures even beyond 500 °C.

Conclusion:
The findings demonstrated that the peel of fruits could be utilized as a substrate for
synthesizing bio-cellulose by a rather cheap and easily available strain, Komagataeibacter
(Acetobacter aceti MTCC 3347). This alternative culture media reduces environmental pollution,
promotes economic advantages, and initiates research on sustainable science.
Effect of Panchkarma and Panchtikta Ghrita Guggulu in Katigraha w.s.r. of Lumbar Spondylosis - A Case Study
Authors: Shivani Paliwal  , Manisha Pandey  , Kamini Soni  
Published: February 2024

Low back pain has become a major health problem now days, about 60-80% of world population experience lower back pain at some time in their lives. Katigraha is one among the Vata Nanatmaj Vyadhi described in Gadanigraha and Sharangadhar classical text. Acharya Shodhalya described that it is condition characterized by pain and restricted movement of Kati which can be correlated with the Lumbar Spondylosis. Lumbar Spondylosis is degenerative condition affecting the Disc, Vertebras, and associated Joints of Lumbar Spine. In Modern Science there are no effective treatments are available for this condition but in Ayurveda there is safe and effective regimen described by our Acharyas. In our case study diagnosed case of Lumbar Spondylosis with the complaints of lower back pain, stiffness and difficulty in walking and standing, tingling sensation since 2 month. In our treatment regimen externally Kati Pizhichil, Shashtikshali Swedan, and internally Panchtikta Ghrita Guggulu, Panchtikta Ksheera Basti and Matra Basti with Ksheera Bala Tail were given. During this procedure different parameters are assessed before and after treatment there is significant relief in previous complaints.
Exploring the Perspectives of Patients Living With Lupus: Retrospective Social Listening Study
Authors: Spies Erica , Andreu Thomas , Hartung Matthias , Park Josephine , Kamudoni Paul 
Published: February 2024

Background
Systemic lupus erythematosus (SLE) is a chronic autoimmune inflammatory disease affecting various organs with a wide range of clinical manifestations. Cutaneous lupus erythematosus (CLE) can manifest as a feature of SLE or an independent skin ailment. Health-related quality of life (HRQoL) is frequently compromised in individuals living with lupus. Understanding patients’ perspectives when living with a disease is crucial for effectively meeting their unmet needs. Social listening is a promising new method that can provide insights into the experiences of patients living with their disease (lupus) and leverage these insights to inform drug development strategies for addressing their unmet needs.

Objective
The objective of this study is to explore the experience of patients living with SLE and CLE, including their disease and treatment experiences, HRQoL, and unmet needs, as discussed in web-based social media platforms such as blogs and forums.

Methods
A retrospective exploratory social listening study was conducted across 13 publicly available English-language social media platforms from October 2019 to January 2022. Data were processed using natural language processing and knowledge graph tagging technology to clean, format, anonymize, and annotate them algorithmically before feeding them to Pharos, a Semalytix proprietary data visualization and analysis platform, for further analysis. Pharos was used to generate descriptive data statistics, providing insights into the magnitude of individual patient experience variables, their differences in the magnitude of variables, and the associations between algorithmically tagged variables.

Results
A total of 45,554 posts from 3834 individuals who were algorithmically identified as patients with lupus were included in this study. Among them, 1925 (authoring 5636 posts) and 106 (authoring 243 posts) patients were identified as having SLE and CLE, respectively. Patients frequently mentioned various symptoms in relation to SLE and CLE including pain, fatigue, and rashes; pain and fatigue were identified as the main drivers of HRQoL impairment. The most affected aspects of HRQoL included “mobility,” “cognitive capabilities,” “recreation and leisure,” and “sleep and rest.” Existing pharmacological interventions poorly managed the most burdensome symptoms of lupus. Conversely, nonpharmacological treatments, such as exercise and meditation, were frequently associated with HRQoL improvement.

Conclusions
Patients with lupus reported a complex interplay of symptoms and HRQoL aspects that negatively influenced one another. This study demonstrates that social listening is an effective method to gather insights into patients’ experiences, preferences, and unmet needs, which can be considered during the drug development process to develop effective therapies and improve disease management.