bluuebunny/crossref_metadata_2025_split huggingface dataset:
Experiment on streambed armoring with clusters and its influence on bed-load dynamics
Authors: Zhu Zhenhui , Chen Dong , Zhao Lianjun , Nie Ruihua , Zhang Fangxiu , Wang Ming , Huang Libing 
Published: December 2024

ABSTRACT

Understanding bed-load dynamics over armored streambeds with particle clusters has been a longstanding challenge for river engineers. A flume experiment was conducted to investigate the processes of bed coarsening and cluster formation as well as their influences on bed-load dynamics. During the experiment, the experiment gradually increased inflow discharge from 80 to 145 L/s over 16 h, then maintained a steady discharge of 150 L/s for approximately 32 h. Continuous photographic analysis identified four periods of streambed armoring: (1) bed coarsening, (2) emergence of prototype clusters, (3) interconnecting of neighboring clusters, and (4) formation of mature clusters with high flow belts. Bed surface coarsening, dominant in P1–P2, increasingly restricted bed-load movement. In periods P3–P4 phases, coarsening ceased, while particle clustering intensified, further impeding bed-load transport. To quantify particle clustering, we enhanced the K parameter to parameter by incorporating the diameters of key particles. Our research reveals that overlooking the inhibitory effect of parameters can lead to considerable inaccuracies in the estimation of bed-load transport rates during periods P3–P4, even when advanced surface-based transport models are used.
Waste-derived substrates in vertical-flow constructed wetlands for an efficient removal of high-concentration heavy metals
Authors: Rabbi Fahim Muntasir , Hasan Md. Kamrul , Rahman Md. Alinur , Islam Md. Salamoon , Shohugh Pramit Kumar , Ahmed Md. Istiak , Khan Md. Washim , Rafi Tanvir , Rahman Mohammad Mahfuzur , Rahaman Md. Hasibur , Zhai Jun 
Published: December 2024

ABSTRACT

Contamination by heavy metals (HMs) in aquatic ecosystems is a worldwide issue. Therefore, a feasible solution is crucial for underdeveloped and developing countries. Waste-derived materials (WDMs) exhibit unique physical and chemical properties that promote diverse mechanisms for the removal of HMs in constructed wetlands (CWs). In this study, we aimed to report the removal efficiency of HMs of vertical-flow constructed wetland (VFCW) systems using different WDMs, such as clinker brick (Jhama), eggshells, and date palm fiber (DPF). Synthetic wastewater with high concentrations (3.3–61.8) mg/L of HMs (As, Cr, Cd, Pb, Fe, Zn, Cu, and Ni) was applied to the systems followed by 3 days of hydraulic retention time. The results demonstrate that removal efficiencies of HMs ranged between 94.8 and 98.7% for DPF, 95.4–98.5% for eggshells, and 79.9–92.9% for the Jhama-filled CWs, while the gravel-based systems were capable of 73–87.6% removal. Two macrophytes, Canna indica and Hymenocallis littoralis were planted in the CWs and exhibited significant accumulation of HMs in their roots. The study reports that WDMs are effective for concentrated HM removal in CWs, and macrophytes demonstrate significant phytoremediation capabilities. The findings of this study will facilitate the economically feasible and efficient design of CWs for effectively treating concentrated HMs in wastewater.
Removal of dissolved organic matter in road runoff with sludge-based filters from the drinking water treatment plant
Authors: Du Xiaoli , Jing Wenhui , Jiang Rongying , Chen Mengyao , Liu Dianwei 
Published: December 2024

ABSTRACT

Road runoff underwent treatment using a filter filled with sludge from drinking water treatment plants to assess its capacity for removing dissolved organic matter (DOM). This evaluation utilized resin fractionation, gel permeation chromatography, three-dimensional excitation–emission matrix fluorescence spectroscopy, and UV–Visible spectroscopy. The filter demonstrated enhanced efficiency in removing dissolved organic carbon, achieving removal rates between 70 and 80%. It effectively targeted macromolecular DOM components present in road runoff, with hydrophobic organic compounds showing higher removal rates than hydrophilic ones. Additionally, acidic and neutral organic substances were preferentially removed over basic organic compounds. Fluorescent substances identified in road runoff DOM included fulvic acid-like, humic acids, and protein-like substances, all of which exhibited significantly reduced intensities in fluorescence peaks after filtration. Furthermore, filtration led to a decrease in the aromatization and humification of runoff DOM due to the effective removal of aromatic compounds and macromolecular structural components.
Russia’s budget system in 2024. preliminary results and emerging trends
Authors: Lykova L. N. , Bukina I. S. 
Published: December 2024

The revenues of all components of the Russian budget system showed positive growth rates in January-September 2024. Revenues to the federal budget have increased most significantly, both from oil and gas and non-oil and gas revenues. The pronounced dependence of federal budget revenues on world oil prices remains, provoking the budget execution risks. The growth rate of revenues of the consolidated (enlarged) budget of the country lagged behind the growth of federal budget revenues, but outpaced the rate of inflation. The excess of last year’s values in real terms occurred both in terms of tax revenues, social insurance premiums and other taxes and fees. Compared to last year, the receipts of practically all taxes have increased. The exception is budget revenues from corporate income tax, which have decreased even by nominal values. Regional budget revenues increased only in nominal terms. Here, against the background of nominal growth of own income, there was an absolute reduction in intergovernmantal transfers. The drop in regional budget revenues from corporate income tax in many regions of the Russian Federation was not offset by an increase in personal income tax revenues. The dynamics of expenditures of the components of the budget system in the first 9 months of the year also outstripped inflation.
The Relationship between Alzheimer's Disease and Ferroptosis: A Bibliometric Study Based on Citespace
Authors: Lin Fengwen , Yang Xiaolu , Li Linqin , Chen Jie , Zheng Xuxiang , Qiu Lihua , Shi Shaorui , Nie Bin 
Published: December 2024

Background:
The potential relationship between Alzheimer's Disease (AD) and ferroptosis
has received considerable attention, yet there is no comprehensive visualization analysis in
this field. This study aimed to explore the research frontiers and hotspots through bibliometric
analysis.

Methods:
Literature related to AD and ferroptosis was collected from the Web of Science Core
Collection. Data, including countries, authors, institutions, journals, and keywords, were analyzed
by Tableau Public Desktop and Citespace software.

Results:
A total of 305 articles published between January 1st, 2013, and December 31st, 2023,
were included, and the number of articles on the relationship between AD and ferroptosis has increased
annually, with the largest number reported from China (162 articles). The articles from
Professor SJ Dixon were cited most frequently. Among the top ten most cited articles, four were
published in top journals. The University of Melbourne emerged as the institution with the highest
number of publications (27 articles). Among the journals, most of the articles were published in
Frontiers in Aging Neuroscience (13 articles, accounting for 4.26%). The co-occurrence analysis
of keywords revealed that major hotspots in this field contained oxidative stress, cell death, and
lipid peroxidation. Keyword burst analysis indicated that antioxidant was the term with the
longest duration of high interest, while clustering analysis showed that this research area primarily
focused on amyloid precursor protein, drug development, and diagnostic models.

Conclusion:
Bibliometric analyses were conducted to comprehensively present the research
progress and trends on the relationship between AD and ferroptosis, providing valuable evidence
for future research in related fields.
CNVviso: Visualisation Solution for Copy Number Variation Data from Ultra-Low Coverage Whole-Genome Sequencing and Preimplantation Genetic Testing
Authors: Huu An Nguyen , Hong Nhung Trinh Thi , Bich Huong Bui , Quang Tien Vuong , Pham Dung Tien , Thi Hoi Le 
Published: December 2024

Background:
CNVviso is a web-based NGS data visualization tool designed to be userfriendly
for medical researchers who desire visualization-based analysis of large amounts of data
with no-code technology.

Objective:
Unlike small tools that require extensive programming skills, CNVviso is designed to
minimize hard coding and repetitive operations for ultra-low coverage whole-genome sequencing
data from preimplantation genetic testing.

Methods:
CNVviso was completely programmed and developed based on the R programming language
and Shiny framework. CNVviso source code is available for download under the MIT Licence
from https://github.com/Anegin24/CNVviso.

Result:
The execution architecture of CNVviso allows users to input CNV data, which is then automatically
visualized as graphs.

Conclusion:
The charts display output of CNVviso are lively and interactive, enabling users to exploit
the information effectively. The tool also provides tabular results containing aggregated information.
Review: Solid Dispersion Formulation Methods and Applications in Drug Delivery
Authors: Sihag Neelam , Bahmani Kavita , Grewal Samiksha , Tanwar Rajni , Rani Nisham , Malik Jyoti , Devi Sunita 
Published: December 2024

Abstract:
About 44% of the active medicinal components in all previously disclosed
chemical units are hydrophobic and do not extend shop because of their limited water
solubility. One of the factors limiting the rate at which oral medications can reach the
appropriate concentration in the systemic circulation for pharmacological action is their
solubility. Our medical preparation scientists and researchers are constantly surrounded
by issues relating to drug release, drug targeting, solubility, overdosing, permeability and
bioavailability. Thus, creating or improving frameworks for drug delivery is a territory of
ongoing research. Solid dispersion, micronization, salt formation, are some of the vital
methods usually employed to improve the solubility of poorly soluble drugs, but each
method has some drawbacks and benefits. This review focuses on different methods of
improving drug solubility in order to lower the proportion of medication candidates that
are removed from development due to poor solubility. The popular solution for all problems
related to aspects of solubility and in-vitro release rate of certain poorly watersoluble
drugs, is solid dispersion. Solid dispersions smear the standard to drug release
via producing a combination of a poorly water-soluble API and greatly soluble
coformers. The solid dispersion method has been commonly used to increase the in-vitro
drug release, solubility, and bioavailability of poorly water-soluble drugs. The focus of
this review paper is on carriers, BCS classification, and solubility. This page also summarizes
some of the most current technological advancements and offers a variety of
preparation methods for solid dispersion. The various solid dispersions were highlighted
according to their molecular configuration and carrier type. It also provides an overview
of the solid dispersion methodologies and their mechanics, as well as the marketed medications
that can be made utilizing them.
Preparation and Characterization of Fe3O4-Modified Graphene Oxide as Heat Transfer Additive for Paraffin Wax Applications
Authors: Wang Shuo , Jia Li , Dang Chao , Ren Honglei , chen Zhifeng , Wang Huiming , Jia H.W. 
Published: December 2024

Introduction:
In phase change thermal management systems, the development of magnetic
phase change materials offers the possibility of effectively integrating passive and active heat
control technologies. The low dispersibility of traditional heat transfer additives, the high interfacial
thermal resistance with phase change matrices, and the restricted magnetic response characteristics
are some of the current problems that must be resolved.

Methods:
To overcome these challenges, this study employed a co-precipitation method to composite
magnetic nanoparticles Fe3O4 with graphene oxide (GO). The active sites on GO were functionalized
with alkyl groups to prepare Fe3O4-modified graphene oxide (Fe3O4-MGO)/paraffin
magnetic composite phase change materials. The morphology, structure, chemical composition, and
thermal properties of the resulting magnetic composite phase change materials were tested and
characterized.

Results:
The results indicated that Fe3O4-MGO exhibits good dispersibility in paraffin, which can
enhance the thermal conductivity of the phase change material. The thermal conductivity of the
composite phase change material with a Fe3O4-MGO mass fraction of 2.0% was measured to be
0.461 W/m·K, representing a 47.3% increase compared to pure paraffin. Additionally, Fe3O4-MGO
demonstrated a certain phase change capability, with a phase change enthalpy reaching 70.35 kJ/kg.

Conclusion:
The findings of this study are expected to provide technical support for innovative applications
of magnetic-controlled phase change thermal management.
A Scopic Review on Niosomes: Current Status of Approved Products and their Application in Cosmetics
Authors: Kumar Gaurav , Saxena Sumedha 
Published: December 2024

Background:
Niosomes have emerged as a promising vesicular drug delivery technol-ogy due to their applications in the pharmaceutical and cosmetics sectors. Their unique properties, including their amphiphilic characteristics and ability to self-assemble, make them highly adapta-ble for encapsulating both hydrophilic and lipophilic substances.

Objective:
The current study aims to provide a concise description of previously published data on the usage and applications of niosomes in cosmetics. It also seeks to conduct a thorough as-sessment of this data, focusing on their composition, production methods, and performance-related variables.

Methods:
This review examines the makeup and arrangement of niosomes, with particular atten-tion to their amphiphilic properties and self-assembly capabilities. The analysis includes various cosmetic applications of niosomes, exploring their role in delivering different cosmetic ingredi-ents such as antioxidants, vitamins, and peptides.

Results:
Niosomes have been effectively used in various cosmetic products, including skincare, haircare, and color cosmetics. They facilitate the delivery of active ingredients in anti-aging creams, moisturizers, sunscreen products, hair conditioners, and face washes. The ability of nio-somes to encapsulate diverse substances enhances the performance and efficacy of these cosmetic products.

Conclusion:
Niosomes represent a versatile and effective delivery system in the cosmetics indus-try. Their capacity to encapsulate both hydrophilic and lipophilic substances makes them suitable for a wide range of cosmetic applications, significantly improving the delivery and performance of cosmetic ingredients across different product categories.
Lightweight Research on Fatigue Driving Face Detection Based on YOLOv8
Authors: Yin Lifeng , Ding Ziyuan 
Published: December 2024

Introduction:
With the rapid development of society, motor vehicles have become
one of the main means of transportation. However, as the number of motor vehicles continues
to increase, traffic safety accidents also continue to appear, bringing serious threats to people's
lives, and property safety. Fatigue driving is one of the important causes of traffic safety accidents.

Method:
To address this problem, a target detection algorithm called VA-YOLO is designed to
improve the speed and accuracy of facial recognition for fatigue checking. The algorithm employs
a lightweight backbone network, VanillaNet, instead of the traditional backbone network,
which reduces the computational and parametric quantities of the model. The SE attention
mechanism is also introduced to enhance the model's attention to the target features, which
further improves the accuracy of target detection. Finally, in terms of the bounding box regression
loss function, the SIoU loss function is used to reduce the error.

Result:
The experimental results show that, compared toYolov8n, the VA-YOLO algorithm
improves the accuracy by 1.3% while the number of parameters decreases by 30%.

Conclusion:
This shows that the VA-YOLO algorithm has a significant advantage in realizing
the balance between the number of parameters and accuracy, which is important for improving
the speed and accuracy of fatigue driving detection.
Fermatean Fuzzy MOORA-based Approach for Hazard Analysis in An Aluminium Company
Authors: Toptancı Şura , Neval İnal Adle 
Published: December 2024

Introduction/Objective:
Hazard analysis as one of the main study subjects in ergo-nomics and occupational health and safety (OHS) risk assessment is a critical requirement for ensuring the health and safety of workers in work environments. Current hazard analysis ap-proaches in the literature may have some shortcomings. This study aims to provide more relia-ble assessments in the hazard analysis process by overcoming the shortcomings of classical ap-proaches.

Methods:
This study proposes a new hazard analysis approach based on the integration of the Fermatean Fuzzy set and the multi-criteria decision-making (MCDM) method MOORA.

Results:
The proposed approach is used to perform a hazard analysis of a company operating in the metal industry, which is one of the sectors where occupational accidents and occupational diseases most often occur. As a result of the application, the hazards and associated risks in the aluminum metal company are prioritized.

Conclusion:
This study provides an advanced risk assessment technique for ergonomists and OHS professionals to make better decisions in hazard analysis studies.
Development of Ascorbic Acid and Ferulic Acid-Loaded Anti-Aging Liposomal Gel
Authors: Neopane Deepa , Singh Aditya , Ansari Vaseem Ahamad , Ahsan Farogh 
Published: December 2024

Aim:
The present study aimed to formulate and evaluate ascorbic acid and ferulic acidcontaining
liposomal gel for treating skin aging.

Method:
In this study, the thin film hydration technique was employed to create liposomes containing
phosphatidylcholine and cholesterol that were stimulated with ascorbic acid and ferulic
acid. The produced liposomes were evaluated for stability, zeta potential, and size, and liposomal
gel was evaluated for spreadability, viscosity, and in vitro drug release.

Results and Discussion:
The optimized liposomes had a zeta potential of (-49) mV, a Polydispersity
Index (PDI) of (0.488), a particle size of 1028 nm, and an entrapment efficiency of
(90.20) %. On the other hand, the spreadability of liposomal gel was determined as 5.86 cm, and
the percentage of drug release was recorded as 96.6%.

Conclusion:
To achieve a stable liposomal formulation, it was discovered that the preparation of
liposomes containing ascorbic acid and ferulic acid and then dispensing it in the form of liposomal
gel was an effective method. After a thorough assessment of liposomes and liposomal gel, it was
determined that the latter might be effectively employed as a topical gel to treat aging skin.
Ayurvedic Approaches to Managing Premature Greying of Hair: A Comprehensive Review
Authors: Balkrishna Acharya , Singh Shalini , Mishra Shalini , Rana Maneesha , Mishra Rajesh Kumar , Rajput Satyendra Kumar , Arya Vedpriya , Kumar Ashwani 
Published: December 2024

Abstract:
Premature Greying of Hair (PGH) is attributed to reduced melanin levels and melanocyte
degeneration, with conventional chemical treatments often linked to serious health risks,
such as cancer and nephrotoxicity. This review introduces Ayurvedic remedies as a novel, natural
approach for PGH, targeting the condition by rebalancing Bhrājaka Pitta. Central to this approach
is the innovative Vedic plant taxonomy, a unique classification system based on ancient principles
that ensures precise identification of Ayurvedic herbs, significantly advancing the accuracy and
effectiveness of plant-based therapies for hair pigmentation. Major herbs like Bhṛñgarāja (Eclipta
prostrata), Yaṣṭimadhu (Glycyrrhiza glabra), Āmrāsthi (Mangifera indica), Vibhītakī (Terminalia
bellirica), Japākusuma (Hibiscus rosa-sinensis), and many others mentioned in classical texts for
their ability to stimulate melanogenesis, strengthen hair follicles, and restore pigmentationare
highlighted for their distinctive therapeutic properties. Integrating Vedic taxonomy with Ayurveda’s
holistic remedies establishes a groundbreaking framework for PGH treatment and sets
these natural therapies apart from conventional options. By enabling accurate plant identification,
Vedic taxonomy facilitates the seamless integration of traditional plant knowledge into modern
scientific frameworks, serving as a transformative tool for researchers and taxonomists. With rising
interest in natural alternatives, these ancient Ayurvedic solutions, rich in active compounds
such as alkaloids and flavonoids, offer a safe, effective, and innovative approach to PGH management.
This review, thus, positions Vedic taxonomy and Ayurvedic remedies at the forefront
of cosmetic science, bridging timeless wisdom with therapeutic innovation to redefine hair care.
Investigating the Level of Knowledge of Nurses Working in Educational Hospitals of Ilam about COVID-19 in Iran
Authors: Shohani Masoumeh , Kafashian Mohamadreza , Tavan Hamed 
Published: December 2024

Introduction:
Since nurses are responsible for caring of patients, increasing their
knowledge will lead to better care. Here, we measured nurses’ COVID-19 knowledge in the teaching
hospitals of Ilam.

Materials and Methods:
In this study, descriptive-analytical approach was used for data collection
using a self-assessment questionnaire including demographic information and 12 questions about
nurses' knowledge of COVID-19 disease. The data were collected in May 2020 and analyzed by
SPSS 19 software. The significance level was considered at P <0.05.

Results:
Overall, 134 (72.4%) and 51 (27.6%) of the participants were males and females, respectively.
The mean score of knowledge about COVID-19 disease was 6.04± 0.45. Nearly half of the
nurses (45.4%) had good knowledge on the source of the disease, signs and symptoms, transmission
routes, and progression and mortality rate of COVID-19.

Conclusion:
Most of the nurses had intermediate knowledge about COVID-19. However, it is essential
for the Ministry of Health to provide accurate and coherent information according to the WHO
guidelines.