bluuebunny/crossref_metadata_2025_split huggingface dataset:
Design of an improved process optimization model for enhancing the efficiency of the wastewater treatment process
Authors: Pande Pournima , Hambarde Bhagyashree 
Published: April 2024

ABSTRACT

Efficient wastewater treatment is crucial for environmental protection and ensuring the availability of potable water. However, existing optimization models often fall short in effectively analyzing historical data, optimizing dosages, or predicting optimal process parameters. This paper aims to address these challenges by proposing an advanced process optimization model that enhances the efficacy of wastewater treatment processes. Our objectives include the development of a novel method for optimizing various aspects of the treatment procedure using Auto Encoders (AE), Genetic Algorithm (GA), and Vector Autoregressive Moving Average (VARMA) models. Extensive experimentation with multiple datasets and samples, including the Melbourne Wastewater Treatment Dataset, Urban Wastewater Treatment, and Global Wastewater Treatment, was conducted to validate our model. The results demonstrate significant improvements in our proposed model, with an average improvement of 8.5% in treatment quality, a 4.9% reduction in delay, and a 9.5% increase in water purity compared to recently proposed models. We conclude that our model provides a valuable framework for optimizing wastewater treatment in a variety of settings due to its adaptability and effectiveness. Future research could explore the integration of additional advanced techniques and real-time monitoring systems to further enhance the model's precision, efficiency, and robustness.
Dye-assisted analysis of fluoride in water using UV–visible spectrophotometry: a preliminary study
Authors: S. Durodola Solomon , Tovide Oluwakemi O. , Oyebode Bukola A. , Ogundoro Taiwo J. , Adekunle Abolanle S. , Ogunfowokan Aderemi O. , Oyekunle John A. O. 
Published: April 2024

ABSTRACT
Dye-assisted method for the analysis of fluoride content of water has been developed in this study using dyes obtained from some flowering plants. This was done to evaluate the potentials of locally accessible dyes in spectrophotometrically detecting F– levels in fluoride-containing water samples. Dye solutions obtained from scarlet jungle flame, Hibiscus flower, Peacock flower or Barbados pride, Royal poinciana, Pink bauhinia, Barbados lily, or Easter lily were adopted to monitor absorbance and corresponding concentrations of serially prepared F− concentrations in a range of 0.001–0.012 ppm. Dye from the Hibiscus flower gave an optimal performance with R2 = 0.9792. Using this dye, the F– content in water samples obtained from tap waters from Moremi Estate, Modomo, Asherifa, Postgraduate Hall of Obafemi Awolowo University, Ile-Ife, and a well water sample from Modomo gave 0.052, 0.053, 0.053, 0.058, and 0.061 ppm, respectively. A comparison of these values indicated that all the water samples monitored were safe for human consumption without experiencing health challenges as the maximum F– limit for potable water recommended by WHO was not exceeded. This study concluded that dye from Hibiscus flower could satisfactorily assist in monitoring F– content in water where ion-selective electrodes are not readily accessible.
Plant-Derived Proteins/Peptides for the Management of Alzheimer's Disease
Authors: Malviya Rishabha , Uniyal Prerna 
Published: April 2024

:
Alzheimer's Disease (AD) is a neurological condition that worsens over time and has a
gradual start. It has a significant impact on the well-being of human beings. Peptides are substances
produced from plants that have been revealed to inhibit the progression of Alzheimer's disease
disorders, making them a promising strategy for the prevention of Alzheimer's disease. Nevertheless,
because of the enormously convoluted pathophysiology of Alzheimer's Disease (AD) and
the recognition that the majority of research on the action of plant-derived peptides is solitary instead
of sufficiently comprehensive, the development and implementation of Plant-derived
Alzheimer-prevention Peptides (PADPs) have been constrained. The molecular pathways of
PADPs, AD-prevention activity, and some perspectives on current advanced technologies have
been discussed in this review. Additionally, the review provides a summary of the current techniques
available for obtaining PADPs, as well as in vitro and in vivo protocols for evaluating the
activity of PADPs in preventing Alzheimer's disease. Additionally, the fundamental concepts for
the manufacturing and utilization of PADPs have been developed in this study.
A Green Technology for the Extraction of Essential Oil Using Microwave and Ultrasound-assisted Techniques
Authors: Barik Pallavi , Dagar Komal , Makhija Rahul , Singh Alamjot , Asati Vivek 
Published: April 2024

Background:
Essential oils are utilized in various food applications and are a rich source
of naturally occurring volatile components. The extraction of essential oils has used conventional
techniques for several years, but these methods require a long duration of time, more solvent, and
high energy. However, recent advancements have led to novel and eco-friendly techniques that significantly
enhance the essential oil yield while minimizing the use of resources.

Method:
This study describes the recent research on the extraction of essential oils and their components,
focusing on microwave-assisted extraction (MAE) and ultrasound-assisted extraction (UAE).

Result:
This review explores the instrumentation, mechanism, and applications behind MAE and
UAE. It also describes the emerging technologies for the extraction of essential oils, along with their
optimized conditions.

Conclusion:
These techniques represent a more sustainable and efficient approach for the extraction
of essential oil from various plant sources, aligning with the principles of green chemistry.
Investigation of TiO2 Nanoparticles Influence on Tensile Properties and
Thermal Stability of Dry and Wet Luffa-Epoxy Nanocomposites
Authors: Anbukarasi K. , Mala D. , Senthilkumar N. , Hussain S. Imran , Kalaiselvam S. 
Published: April 2024

Background:
Recently, progress has been made toward understanding the efficiency of
polymer composites with natural fibres. With the hope of enhancing the characteristics of polymer
composites supplemented with natural fibres in a watery environment, TiO2 nanoparticles have been
used to improve their performance in the field.

Method:
These nanoparticles were filled in luffa-epoxy components at 1, 3, and 5% volume fractions.
A combination of x-ray diffraction and Fourier transform infrared spectroscopy was utilized to
conduct the structural examinations. The nanoparticle spread was captured by field emission scanning
electron microscopy.

Result:
Results show that dry nanocomposite's tensile strength and modulus have increased by 74%
and, 13%, 137%, and 50% compared with epoxy and 40 vol% luffa-epoxy (E/L) composites, respectively.
In wet nanocomposites, maximum reduction in tensile strength and modulus were observed as
27.4% and 16.54%, respectively. The diminished water absorption and thickness swelling percentage
of nanocomposites were recorded as 98% and 91.8%, respectively. The onset temperature of these
nanocomposites was scattered in the range of 379-393°C, with a maximum char residue of 38%.

Conclusion:
The increase in the percentage of residue indicates the effectiveness of epoxy's flame
retardant, improved thermal stability, diminished water absorption (approximately 2%), and 95% retention
of wet composites' tensile properties. These results provided data support for improving the
application of nanocomposites in the automobile field and to develop possible patents on the new
material development.
Remote Disease Diagnosis through IoMT-Enhanced Blood Cell Classification with Deep Learning
Authors: Kadhiravan D. , Pradeepa J. , Ragavan K. 
Published: April 2024

Background
For the purpose of diagnosing diseases and developing treatment plans, blood cell pictures must be accurately classified. This procedure can be greatly enhanced by automated systems that make use of deep learning and the Internet of Medical Things (IoMT).

Objective
In order to improve illness detection and increase healthcare accessibility, this work suggests an IoMT-based system for remote blood cell picture transmission and classification utilizing deep learning algorithms.

Methods
High-resolution pictures of blood cells are captured by an IoMT tiny camera and wirelessly sent to a cloud-based infrastructure. The blood cells are divided into groups according to a, deeplearning classification algorithm, including neutrophils, lymphocytes, monocytes, and eosinophils.

Results
The IoMT-enabled system excels in transmitting and analyzing blood cell images, achieving precise classification. Utilizing deep learning models with multi-scale feature extraction and attention mechanisms, the system demonstrates robust performance. Numerical results showcase a high accuracy of approximately 97.21%, along with noteworthy precision, recall, and F1 scores for individual blood cell classes. Eosinophil, Lymphocyte, Monocyte, and Neutrophil classes exhibit strong performance metrics, emphasizing the system's effectiveness in accurate blood cell classification.

Conclusion
By combining IoMT and deep learning with blood cell image analysis, diagnostic accessibility and efficiency are improved. The suggested approach has the potential to completely transform healthcare by facilitating prompt interventions, individualized treatment regimens, and better patient outcomes. It is essential to continuously enhance and validate the system in order to maximize its efficacy and dependability in a variety of healthcare settings.
Effects of Single and Co-infections of Proteus Mirabilis and Aeromonas Hydrophila on Baseline Hematological, Serological, and Histological Data in Cultured Clarias Gariepinus
Authors: Oghenochuko M. Oghenebrorhie , Ola E. Iyesioluwa , Thomas M. Remilekun , Daodu O. Gladys , Oguntuase G. Ademola , Aluko O. Itunu , Irokanulo Emenike , Akpor B. Oghenerobor 
Published: April 2024

Background and Aim
Significant mortality and production disruptions in fish culture are brought on by diseases and parasites. The purpose of the current study was to collect baseline data on the effects of single and co-infections of Proteus mirabilis, and Aeromonas hydrophila in Clarias gariepinus.

Materials and Methods
One hundred and twenty sub-adults of C. gariepinus were divided into control, P. mirabilis, A. hydrophila, and co-infection groups (P. mirabilis X A. hydrophila). Standard methods were used to determine hematology, serology, and histology. Standard microbiology methods were used for microbial analysis.

Results
The single A. hydrophila-infected group had the highest mortality (60% versus 37%) in the co-infected and P. mirabilis groups. A marked decrease was observed in the RBC, hemoglobin, and Packed Cell Volume (PCV) of 2.9×1012/L, 32.8 g/L, and 33.5% in the co-infected fish, compared to the control with 3.6×1012/L, 35.8 g/L, and 41.0%, respectively. Alanine transaminase, alkaline phosphatase, and aspartate transaminase levels were significantly lower in the co-infected fish (13.8, 236.0, and 66.3, respectively) compared to the A. hydrophila-infected group. Creatinine and urea levels were, however, higher in the co-infected treatment. The kidneys and livers of the A. hydrophila and co-infected groups were more severely damaged than those of the P. mirabilis and control groups. Vacuolation and necrosis of hepatocytes led to the desquamation of tubular and glomerular epithelial cells in the livers and kidneys of infected fish. Fish infected with A. hydrophila had the highest bacterial load count.

Conclusion
It was concluded that an antagonistic association exists between A. hydrophila and P. mirabilis when they are co-infected.
Hypofractionated Radiation Therapy Suppresses Radioresistance in U87 Human Glioma Cells by Inhibiting Yap1 and Hsp90 Proteins
Authors: Khan Imran , Mahfooz Sadaf , Karacam Busra , Elbasan Elif Burce , Akdur Kerime , Coban Ganime , Hatiboglu Mustafa Aziz 
Published: April 2024

Background:
Radiotherapy plays a vital role in the management of high-grade gliomas.
However, the radio resistance of glioma cells limits the effect of radiation and drives recurrence
inside the irradiated tumor volume leading to poor outcomes for patients.

Methods:
High-grade glioma cell radioresistance significantly contributes to radiotherapy failure,
highlighting the importance of identifying predictive biomarkers for radioresistance. An
increasing body of evidence complies with the Yes Associated Protein 1 (Yap-1) and heat shock
protein 90 (Hsp90) as biomarkers for radioresistance in glioma cells. A number of studies suggest
the potential of radioresistance-associated factors as biomarkers and/ or novel therapeutic
targets in glioma cells. Thus, it is essential for glioblastoma patients to identify robust druggable
targets involved in radioresistance, optimizing irradiation protocol, and understanding their underlying
molecular mechanisms.

Results:
Therefore, in the present study, we hypothesized that hypofractionated Gamma Knife
radiation therapy (HF-GKRT) could target Yap-1 and Hsp90 and downregulate the mechanism
of radioresistance in high-grade glioma cells.

Conclusion:
For this purpose, expression levels of radioresistance markers Yap-1 and Hsp90
were evaluated after treatment with HF-GKRT, and this was compared with single fraction
Gamma Knife radiation therapy (SF-GKRT) in U87MG primary human glioblastoma cell line
model. This would help design a novel radiation therapy regimen for glioblastoma patients by
reducing the risk of radioresistance.
An Intelligent Cryptographic Approach for Preserving the Privacy and
Security of Smart Home IoT Applications
Authors: Chitti TN , Kalianandi Maharajan 
Published: April 2024

Background:
Today, computer networks are everywhere, and we utilize the Internet to
access our home network. IoT networks connect home appliances and provide remote instructions.
Access to any tool over an uncertain network attracts assaults. User authentication might be password-
or biometric-based. Data security across a secure network like the Internet is difficult when
authenticating a device. Hashing is used for validation and confidentiality in several encryption and
decryption schemes. Classic cryptographic security methods require a lot of memory, processing
power, and power. They cannot work with low-resource IoT devices.

Methods:
Automatic Device-to-Device communiqué opens up new applications, yet network machines
and devices have limited resources. A remote-access home device authentication mechanism
is proposed in this research. A new, lightweight encryption approach based on Deoxyribonucleic-
Acid (DNA) sequences is developed to make IoT device connections easy and secure. Home
network and appliance controller devices use authentication tools. DNA sequences are random
therefore we utilized them to create a secure secret key.

Results:
Efficiency and strength are advantages of the proposed method. Our method prevents replay,
server spoofing, and man-in-the-middle attacks. The suggested method protects network users
and devices.

Conclusion:
Meanwhile, we model the system and find that the network's delay, throughput, and
energy consumption don't degrade considerably.
Design and Assessment of Integrated Wind-Biomass Hybrid Renewable
Energy System and Blackout Hazards in the Power System Using
Arelu-Ann
Authors: Goswami Subhadip , Benia TapasKumar , Banerjee Abhik 
Published: April 2024

Introduction::
A hybrid power generating system, which is mostly meant for its reliable
performance to meet the current energy demand, is a renowned renewable energy. To overcome issues
like the inability to handle the blackout problem, avoidance of renewable factors, and frequency
instability of the power grid, a Hybrid Power Generation System (HPGS) utilizing biomass and
wind is proposed in this paper.

Method::
With the combination of controllers as well as inverters and blackout controllers, this
work aims to maximize power with minimum cost. The DC-DC converter controlled by Renyi’s
Quadratic Entropy-Based Neuro Proportional-Integral-Derivative (RQEB-NPID) and the inverter
under the control of the Volt/VAR controller are utilized as a major contribution.

Result::
This, in turn reduces the frequency instability problem. Moreover, the renewable factor is
considered for reducing the cost of energy using the Pythagorean Fuzzy-based Equilibrium Optimizer
(PF-EO)-based inverter. Next, by utilizing the Attention-based Rectified Linear Unitactivated
Artificial Neural Network (ARELU-ANN) controller, the blackout problem that interrupts
the power supply to the load is eliminated with the highest accuracy of 7.69%.

Conclusion::
Also, the proposed ARELU-ANN attained the highest specificity and precision of
9.80% and 6.17 %, respectively. Lastly, a comparative analysis is performed, which demonstrates
that the proposed solution is optimum for supplying maximum energy at the least cost.
COVID-19 Vaccine Hesitancy: Umbrella Review of Systematic Reviews and Meta-Analysis
Authors: Rahbeni Tahani Al , Satapathy Prakasini , Itumalla Ramaiah , Marzo Roy Rillera , Mugheed Khalid A L , Khatib Mahalaqua Nazli , Gaidhane Shilpa , Zahiruddin Quazi Syed , Rabaan Ali A , Alrasheed Hayam A , Al-Subaie Maha F , Al Kaabil Nawal A , Alissa Mohammed , Ibrahim Amani Ahmed A L , Alsaif Hussain Abdulkhaliq , Naser Israa Habeeb , Rustagi Sarvesh , Kukreti Neelima , Dziedzic Arkadiusz 
Published: April 2024

Background
The unprecedented emergence of the COVID-19 pandemic necessitated the development and global distribution of vaccines, making the understanding of global vaccine acceptance and hesitancy crucial to overcoming barriers to vaccination and achieving widespread immunization.

Objective
This umbrella review synthesizes findings from systematic reviews and meta-analyses to provide insights into global perceptions on COVID-19 vaccine acceptance and hesitancy across diverse populations and regions.

Methods
We conducted a literature search across major databases to identify systematic reviews and meta-analysis that reported COVID-19 vaccine acceptance and hesitancy. The AMSTAR-2 (A Measurement Tool to Assess Systematic Reviews) criteria were used to assess the methodological quality of included systematic reviews. Meta-analysis was performed using STATA 17 with a random effect model. The data synthesis is presented in a table format and via a narrative.

Results
Our inclusion criteria were met by 78 meta-analyses published between 2021 and 2023. Our analysis revealed a moderate vaccine acceptance rate of 63% (95% CI 0.60%-0.67%) in the general population, with significant heterogeneity (I2 = 97.59%). Higher acceptance rates were observed among health care workers and individuals with chronic diseases, at 64% (95% CI 0.57%-0.71%) and 69% (95% CI 0.61%-0.76%), respectively. However, lower acceptance was noted among pregnant women, at 48% (95% CI 0.42%-0.53%), and parents consenting for their children, at 61.29% (95% CI 0.56%-0.67%). The pooled vaccine hesitancy rate was 32% (95% CI 0.25%-0.39%) in the general population. The quality assessment revealed 19 high-quality, 38 moderate-quality, 15 low-quality, and 6 critically low-quality meta-analyses.

Conclusions
This review revealed the presence of vaccine hesitancy globally, emphasizing the necessity for population-specific, culturally sensitive interventions and clear, credible information dissemination to foster vaccine acceptance. The observed disparities accentuate the need for continuous research to understand evolving vaccine perceptions and to address the unique concerns and needs of diverse populations, thereby aiding in the formulation of effective and inclusive vaccination strategies.

Trial Registration
PROSPERO CRD42023468363; https://tinyurl.com/2p9kv9cr
Designing Child Nutrition Interventions to Engage Fathers: Qualitative Analysis of Interviews and Co-Design Workshops
Authors: So Jeffrey Tsz Hei , Nambiar Smita , Byrne Rebecca , Gallegos Danielle , Baxter Kimberley A 
Published: April 2024

Background
Fathers play a pivotal role in parenting and child feeding, but they remain underrepresented in intervention studies, especially those focused on disadvantaged populations. A better understanding of fathers’ experiences and needs regarding support access and child nutrition information in the context of disadvantage can inform future interventions engaging fathers.

Objective
This study aims to explore fathers’ experiences; perceived enablers; and barriers to accessing support and information related to parenting, child feeding, and nutrition and to co-design principles for tailoring child nutrition interventions to engage fathers.

Methods
Australian fathers of children aged 6 months to 5 years with lived experience of disadvantage participated in semistructured interviews and co-design workshops, primarily conducted via videoconference. Creative analogies were used to guide the ideation process in the workshops.

Results
A total of 25 interviews and 3 workshops (n=10 participants) were conducted, with data analyzed using reflexive thematic analysis and the Capability, Opportunity, and Motivation–Behavior model. The interview data illuminated factors influencing fathers’ initiation in seeking support for parenting, child feeding, and nutrition, including their experiences. It highlighted fathers’ diverse information needs and the importance of an inclusive environment and encouragement. Enablers and barriers in accessing support related to parenting and child nutrition were identified at the individual (eg, personal goals and resource constraints), interpersonal (family support and false beliefs about men’s caregiving role), organizational (inadequate fathering support), and systemic levels (father-inclusive practice and policy). Digital data collection methods enabled Australia-wide participation, overcoming work and capacity barriers. Videoconferencing technology was effectively used to engage fathers creatively. Key principles for engaging fathers were co-designed from the workshop data. Interventions and resources need to be father specific, child centered, and culturally appropriate; promote empowerment and collaboration; and provide actionable and accessible strategies on the what and how of child feeding. Fathers preferred multiformat implementation, which harnesses technology-based design (eg, websites and mobile apps) and gamification. It should be tailored to the child’s age and targeted at fathers using comprehensive promotion strategies.

Conclusions
Fathers faced barriers to accessing support and information related to parenting and feeding that may not adequately address their needs. Future interventions could integrate the co-designed principles to engage fathers effectively. These findings have implications for health service delivery and policy development, promoting father-inclusive practice.