bluuebunny/crossref_metadata_2025_split huggingface dataset:
An Updated Account of Multifaceted Medicinal Values of Garlic: A Systematic Review
Authors: Maji Sutanu , Anand Pragya , Akhter Yusuf 
Published: October 2023

Background:
Garlic (Allium sativum L.), one of the most important medicinal plants
and spices, has many neuroprotective medicinal properties. Garlic has been mentioned in Indian
medical traditions and Chinese literature as a remedy for infectious and other non-communicable
diseases. Raw garlic and its derivatives have been used to treat a variety of ailments.

Objectives:
In this article, we attempted to summarize the numerous characteristics of specific
sulfur-containing garlic components that have been observed thus far, to have a variety of medicinal
aspects.

Methods:
Non-overlapping literature sources from recent years were searched and extracted using
databases such as Dimensions, Google Scholar, and PubMed. We have summarized the concluding
outputs collectively from the systematic literature search. Second, the catalytic site of the
alliinase enzyme was identified to be formed by Y165, N207, D225, Y228, and K251 amino acid
residues. We investigated the interaction of active site residues with the alliinase enzyme's natural
substrate further, and the catalytic mechanism was deduced using molecular docking.

Results:
Several studies on various garlic products and their numerous derivatives are currently
being conducted and vividly reported. These studies have found that it has antitumor activity as
well as the ability to treat digestive issues and ulcers. Additionally, several potential antibacterial,
antiviral, anticoagulant, etc. characteristics were reported by garlic components.

Conclusion:
In conclusion, the review focuses on the successful research on numerous novel
garlic components and their derivatives, which may be useful in next-generation therapeutic approaches.
In addition, it advises the use of garlic in moderation rather than carelessly.
The Survey of the Fruit of Capparis spinosa Extracts Effects on the
Expressional Profile of Essential Self-renewal Genes in MCF7 Cell Line
Authors: Marji Faezeh Askarian , Javid Ameneh , Karimabad Mojgan Noroozi , Torabizadeh Seyedeh Atekeh , Mirzaei Mohammad Reza 
Published: October 2023

Background:
Several drugs have been proposed for the treatment of breast cancer, but
none has fully treated the disease so far.

Methods:
MCF7 cells were cultured in RPMI-1640 medium, consisting of different concentrations of aqueous-alcoholic extract of the fruit of Capparis spinosa (0.125, 0.25, 0.5, 1, 1.5, 2,
2.5, and 5 mg/mL) for 48 and 72 hours. MTT assay was used to determine the cell proliferation
inhibition (IC50). The percentage of apoptotic cells was determined by flow cytometry analysis
using Annexin V/PI apoptosis detection kit. RT-PCR method was carried out to assess the fold
changes of OCT4, NANOG, and SOX2 genes. Two-way ANOVA (tukeys) and t-test (repeated
measure) were used for the statistical analysis of obtained data MTT assay and RT-PCR method,
respectively. p < 0.05 was considered significant.

Results:
Our results have shown that cell death was induced by increasing fruit of Capparis spinosa extract concentration. IC50 was observed at 48 h culture period with 4.81 mg/mL, and 72 h
with 2.72 mg/mL fruit extract, respectively. Flow cytometry results exhibited an obviously significant augmentation in apoptotic MF7 cells. According to RT-PCR findings on the fruit of
Capparis spinosa extract-treated cells, the mean expression of OCT4, NANOG, and SOX2
genes decreased after 48 and 72 h of incubation with IC50 concentration compared to controls.

Conclusion:
The fruit of the Capparis spinosa species was able to decrease the expression of
self-renewal genes in the MCF7 cell line. Therefore, the fruit of Capparis spinosa extract can be
considered a promising candidate for the management of human breast cancer after clinical trials.
A Simplified Model Predictive Current Control Strategy for Six-phase
H-bridge Inverters
Authors: Hou Wenbao , Zhang Gang , Wang Wenjie 
Published: October 2023

Background:
The double-end H-bridge inverters can realize independent control of the
stator voltage in each phase and have flexible advantages of modulation and fault tolerance; thus,
they are more suitable for multi-phase fault-tolerant motor drives. However, due to the increase of
voltage vectors and the coupling between the electromagnetic and non-electromagnetic quantities,
the normal control strategies for traditional three-phase motor drives do not work anymore.

Objective:
This paper aimed to propose a simplified model predictive current control strategy
based on the vector space decomposition (VSD) and the vectors’ gradual simplification for the
three-level six-phase H-bridge inverters.

Methods:
Firstly, the 729 physical variables were decomposed and mapped onto the fundamental
αβ subspace, harmonic xy subspace, and the zero-sequence o1o2 subspace based on the VSD.
Then, to eliminate the influence of the harmonic and zero-sequence components on the control
performance and make an easy digital implementation, vectors’ simplification has been proposed
based on the in-depth analysis of the relationship between the voltage vectors mapped onto different
subspaces and vectors’ stratification. With the simplification method, the number of voltage
vectors was simplified from 729 to 12, and then the selected voltage vectors were used in the rolling
optimization of the model predictive current control (MPCC) to choose the optimal one. Finally,
sufficient experiments were carried out including static and dynamic conditions, different
modulation index and power factor, etc., to verify the feasibility of the proposed strategy.

Results:
The simulation and experimental results show that with the simplified MPCC strategy,
both the static and dynamic performances are relatively good, and the THDs of the phase current
under different modulations and power factors are relatively low.

Conclusion:
The proposed MPCC algorithm for the three-level six-phase H-bridge inverters has
shown obvious improvement in solving the control problems of multi-vectors and complex redundancy
issues.
The Optimal Control Method of Test Power Supply for DC Distribution Network
Authors: Zhang Jun , Pan Feng , Ji Yilin , Li Jinli , Yu Jicheng 
Published: October 2023

Background::
The test power supply is one of the key devices in the DC distribution
network, which is necessary to supply power with high quality for testing other devices' performance.
The double active bridge (DAB) converter is a common circuit topology for test power
supply, which has the advantages of high-frequency electrical isolation, bi-directional power flow,
and high power density. For the converter, control methods, such as single-phase-shift (SPS) control,
and single-current stress or single-return power optimization under extended-phase-shift
(EPS) control, have their limitations, which influences efficiency.

Objective::
This paper aims to propose a dual-objective optimal control method, which can effectively
improve efficiency of the test power supply.

Methods::
This paper addresses the limitations of SPS control, and single-current stress or singlereturn
power optimization under EPS control of the DAB converter, and proposes a dual-objective
optimal control method based on the idea of using objective planning in the full power range under
the condition of satisfying soft switching, which effectively improves efficiency of the test
power supply.

Results::
With the proposed dual-objective optimal control method, the converter achieves a
smaller current stress similar to that with the single-current stress optimal control, and the return
power is also reduced by 29.51%. Efficiency of the test power supply reaches 86.9%, which is
better than 82.5% with SPS control and 85.3% with single-current stress optimization under EPS
control. The experimental results fully verify the effectiveness of the proposed control method.

Conclusion::
A dual-objective optimal control method is proposed. By using the presented method,
current stress and return power are both optimally designed, so the efficiency of the test power
supply can be effectively improved.
Active Equalization of Lithium Battery Pack with Adaptive Control based
on DC Energy Conversion Circuit
Authors: Zhang Jun , Pan Feng , Ji Yilin , Li Jinli , Yu Jicheng 
Published: October 2023

Background::
How to solve the inconsistency of battery pack is a key point to ensure
reliable operation of electric vehicles. Battery equalization is an effective measure to address the
inconsistency. Passive equalization method has poor efficiency and thermal management problems.
Average voltage equalization method is only suitable for situations where there is a significant
voltage difference between batteries. The SOC-based equalization method is relatively difficult
and may inevitably lead to the accumulation of errors during the process.

Objective::
In order to avoid the disadvantages of traditional control methods, a new control method
is proposed to improve the accuracy and self-adaptation of active equalization, which is easy to
be realized without online calculation.

Methods::
Cascaded bidirectional Buck-boost circuit is adopted as the novel equalization topology.
Based on fuzzy PID theory, an adaptive digital-analog hybrid control strategy based on fuzzy PID
is proposed in this paper. Parameter design of the fuzzy PID controller is carried out. A battery
equalization system based on cascaded bidirectional Buck-boost circuit is designed and developed.
Experimental verification is conducted on relevant hardware platforms.

Results::
An adaptive digital-analog hybrid control strategy based on fuzzy PID is proposed. Compared
to passive equalization, this proposed method provides high efficiency. Regarding traditional
voltage control, the method improves control reliability and flexibility. Compared to the average
voltage equalization method, the approach needs less convergence time. Moreover, the control
method is much easier to realize than the SOC-based equalization method.

Conclusion::
By using the presented adaptive control based on DC energy conversion circuit, the
degree of self-adaptation of the equalization process has been obtained as higher and the inconsistency
as smaller.
Analyzing the Response of Structural Members to Impact Loads Using Finite Element Analysis: A Review
Authors: Harle Shrikant M. 
Published: October 2023

Background:
The use of Finite Element Analysis (FEA) has become widespread
in simulating the response of structural members subjected to impact loads. This
review paper aims to provide an overview of FEA's application for predicting the response
of structural members under impact loads.

Objectives:
The objectives of this review are to analyze the analytical and experimental
methods used for studying the dynamics of vibration and impact loads, including Finite
Element Analysis, Modal Analysis, Experimental Modal Analysis, Response Spectrum
Analysis, and Design of Experiments Analysis.

Methods:
The review paper thoroughly examines the principles of FEA, the various types
of impact loads, and the different structural members involved. It analyzes the definitions,
causes, effects, and analytical and experimental methods used to study vibration and impact
loads.

Results:
The review paper highlights the significance of studying these dynamics, as failure
to do so can result in catastrophic failures of structures and machines. It presents a
comprehensive review of the effects of vibration and impact loads on structures and machines
and the advantages and limitations of different analytical and experimental methods.

Conclusion:
This review provides valuable insights into the dynamics of vibration and
impact loads and their potential consequences on structural integrity. The findings emphasize
the importance of employing appropriate analytical and experimental methods to accurately
predict and assess the response of structural members under impact loads.
Load Forecasting with Hybrid Deep Learning Model for Efficient Power
System Management
Authors: Gochhait Saikat , Sharma Deepak K. , Singh Rathore Rajkumar , Jhaveri Rutvij H. 
Published: October 2023

Aim:
Load forecasting with for efficient power system management

Background::
Short-term energy load forecasting (STELF) is a valuable tool for utility companies
and energy providers because it allows them to predict and plan for changes in energy.

Method::
1D CNN BI-LSTM model incorporating convolutional layers.

Result::
The results provide the Root Mean Square Error of 0.952. The results shows that the
proposed model outperforms the existing CNN based model with improved accuracy, hourly
prediction, load forecasting.

Conclusion::
The proposed model has several applications, including optimal energy allocation
and demand-side management, which are essential for smart grid operation and control. The
model’s ability to accurately management forecast electricity load will enable power utilities to
optimize their generation.
Efficiency of CAT and L-SIGN as Alternative or Co-receptors for SARSCoV-
2 Spike Protein
Authors: Das Chainee , Kumar Mattaparthi Venkata Satish 
Published: October 2023

Background::
The COVID-19 disease, which is caused by SARS-CoV-2, has been spreading
rapidly over the world since December 2019 and has become a serious threat to human health.
According to reports, SARS-CoV-2 infection has an impact on several human tissues, including the
kidney, gastrointestinal system, and lungs. The Spike (S) protein from SARS-CoV-2 has been found
to primarily bind ACE2. Since the lungs are the organ that COVID-19 is most likely to infect, the
comparatively low expression of this recognized receptor suggests that there may be alternative coreceptors
or alternative SARS-CoV-2 receptors that cooperate with ACE2. Recently, many candidate
receptors of SARS-CoV-2 other than ACE2 were reported to be specifically and highly expressed in
SARS-CoV-2 affected tissues. Among these receptors, the binding affinity of CAT and L-SIGN to
the S protein has been reported to be higher in one of the recent studies. So, it will be significant to
understand the binding interactions between these potential receptors and the RBD region of the S
protein.

Objective::
To perform a computational analysis to check the efficiency of the alternative receptors
(CAT and L-SIGN) of the SARS-CoV-2 on its binding to the Receptor Binding Domain (RBD) of
Spike protein (S protein).

Methods::
In this study, we compared the interaction profile of the RBD of the S protein of SARSCoV-
2 with CAT and L-SIGN receptors.

Results::
From the molecular dynamics simulation study, the S protein employs special techniques to
have stable interactions with the CAT and L-SIGN receptors (ΔGbind = -39.49 kcal/mol and -37.20
kcal/mol, respectively).

Conclusion::
SARS-CoV-2 may result in greater virulence as a result of the
A Short Review on Obeticholic Acid: An Effective Modulator of
Farnesoid X Receptor
Authors: Narayanan Anila Kutty , Surendran Sudhindran , Balakrishnan Dinesh , Gopalakrishnan Unnikrishnan , Malick Shweta , Valsan Arun , Philips Cyriac Abby , Watson Christopher John Edward 
Published: October 2023

Abstract:
Farnesoid X receptor (FXR) was identified as an orphan nuclear receptor resembling the
steroid receptor in the late ’90s. Activation of FXR is a crucial step in many physiological functions of
the liver. A vital role of FXR is impacting the amount of bile acids in the hepatocytes, which it performs
by reducing bile acid synthesis, stimulating the bile salt export pump, and inhibiting its enterohepatic
circulation, thus protecting the hepatocytes against the toxic accumulation of bile acids. Furthermore,
FXR mediates bile acid biotransformation in the intestine, liver regeneration, glucose hemostasis,
and lipid metabolism. In this review, we first discuss the mechanisms of the disparate pleiotropic
actions of FXR agonists. We then delve into the pharmacokinetics of Obeticholic acid (OCA),
the first-in-class selective, potent FXR agonist. We additionally discuss the clinical journey of OCA in
humans, its current evidence in various human diseases, and its plausible roles in the future.
The Effects of Apigenin in the Treatment of Diabetic Nephropathy: A Systematic
Review of Non-clinical Studies
Authors: Majid Muhammed Thikra , Turki Jalil Abduladheem , Mohammed  Taher Waam , Aminov Zafar , Alsaikhan Fahad , Ramírez-Coronel Andrés Alexis , Ramaiah Pushpamala , Farhood Bagher 
Published: October 2023

Purpose:
Diabetes is one of the important and growing diseases in the world. Among the
most common diabetic complications are renal adverse effects. The use of apigenin may prevent the
development and progression of diabetes-related injuries. The current study aims to review the effects
of apigenin in the treatment of diabetic nephropathy.

Methods:
In this review, a systematic search was performed based on PRISMA guidelines for obtaining
all relevant studies on “the effects of apigenin against diabetic nephropathy” in various electronic
databases up to September 2022. Ninety-one articles were obtained and screened in accordance
with the predefined inclusion and exclusion criteria. Seven eligible articles were finally included
in this review.

Results:
The experimental findings revealed that hyperglycemia led to the decreased cell viability of
kidney cells and body weight loss and an increased kidney weight of rats; however, apigenin administration
had a reverse effect on these evaluated parameters. It was also found that hyperglycemia
could induce alterations in the biochemical and renal function-related parameters as well as histopathological
injuries in kidney cells or tissue; in contrast, the apigenin administration could ameliorate
the hyperglycemia-induced renal adverse effects.

Conclusion:
The results indicated that the use of apigenin could mitigate diabetes-induced renal
adverse effects, mainly through its antioxidant, anti-apoptotic, and anti-inflammatory activities.
Since the findings of this study are based on experimental studies, suggesting the use of apigenin (as
a nephroprotective agent) against diabetic nephropathy requires further clinical studies.
Sex Differences in Stress Response: Classical Mechanisms and Beyond
Authors: Hodes Georgia E. , Bangasser Debra , Sotiropoulos Ioannis , Kokras Nikolaos , Dalla Christina 
Published: October 2023

Abstract:
Neuropsychiatric disorders, which are associated with stress hormone dysregulation, occur
at different rates in men and women. Moreover, nowadays, preclinical and clinical evidence demonstrates
that sex and gender can lead to differences in stress responses that predispose males and
females to different expressions of similar pathologies. In this curated review, we focus on what is
known about sex differences in classic mechanisms of stress response, such as glucocorticoid hormones
and corticotrophin-releasing factor (CRF), which are components of the hypothalamicpituitary-
adrenal (HPA) axis. Then, we present sex differences in neurotransmitter levels, such as serotonin,
dopamine, glutamate and GABA, as well as indices of neurodegeneration, such as amyloid β
and Tau. Gonadal hormone effects, such as estrogens and testosterone, are also discussed throughout
the review. We also review in detail preclinical data investigating sex differences caused by recentlyrecognized
regulators of stress and disease, such as the immune system, genetic and epigenetic mechanisms,
as well neurosteroids. Finally, we discuss how understanding sex differences in stress responses,
as well as in pharmacology, can be leveraged into novel, more efficacious therapeutics for
all. Based on the supporting evidence, it is obvious that incorporating sex as a biological variable into
preclinical research is imperative for the understanding and treatment of stress-related neuropsychiatric
disorders, such as depression, anxiety and Alzheimer’s disease.
Discovery of MAO-A Inhibitors as Antidepressant Based on Virtual Screening
Authors: Xiaopeng Wei , Zhan Jin , Fan Zheqi , Chen Ying , Jing Weikai , Zhang Man , Gan Chunchun , Yang Jinrong 
Published: October 2023

Aim:
Major depression and anxiety have increased significantly worldwide since the 2019
outbreak of COVID-19. The development of highly effective antidepressants with low side effects is attracting
researchers.

Methods:
Monoamine oxidase A (MAO-A) is a key enzyme that catalyzes the metabolism of norepinephrine
(NE), dopamine (DA), and serotonin (5-HT), etc. Elevated level of MAO-A would lead to increased
metabolism of its substrates, thereby causing a decrease in the levels of these neurotransmitter monoamines
in the brain leading to depression. Consequently, inhibition of MAO-A was thought to be an effective
strategy, as this would treat the root cause of depression.

Results and Discussion:
Based on the crystal structure of MAO-A, 4 star-hits, as potential MAO-A inhibitors
was screened from the compound libraries with central nervous system (CNS) activity by using various
computational techniques. Molecular dynamics simulation was used to verify the stability of the ligand-
receptor complexes.

Conclusion:
Furthermore, the ADMET (absorption, distribution, metabolism, excretion and toxicity
properties) of the virtual hits were predicted in order to evaluate their lead-like properties and safety. This
work provides ideas for the drugs discovery of antidepressant.
The occurrence and association of socio-economic status of age-related cataract among Pakistani patients
Authors: Nawaz Yasir , Zafar Javaria , Basit Ashfaq Abdul , Tanvir Fouzia , Umar Asma , Majeed Khan Imran , Ambreen Sadaf 
Published: October 2023

aims:
to explore diseases in pakistani people

background:
Cataract is a non-communicable eye disease worldwide, with the greatest number of patients in middle and low income nations.

objective:
The study aimed to find the association of socioeconomic status of cataract patients in Pakistani population

method:
A survey based study was performed to collect questionnaire based Performa to collect relevant information from patients by the relevant consent form under the declaration of Helsinki.

result:
It was observed that 46.05% males and 53.95

conclusion:
The socioeconomic status including illiteracy rate, cast status, gender and age difference and occupation status of people are associated with the development of cataract

other:
none
The Potential of Non-dairy Kefir Products: Their Health Benefits,
Physiochemical, Sensory, and Bioactive Properties
Authors: Zahidah Inas , Bölek Sibel 
Published: October 2023

Abstract:
The consumption of functional foods increases with the rising healthy lifestyle trends
among the public. Kefir is taken into account as a potential functional food as it contains a large
variety of beneficial microorganisms and bioactive compounds. Non-dairy kefir has been developed
to meet the needs of consumers with several limitations, such as milk protein allergies and
lactose intolerance or vegan consumers. Various ingredients such as plant-based milk, fruits, and
vegetable extracts used in non-dairy kefir can provide a variety of bioactive compounds wider
than cow’s milk, such as fiber, unsaturated fatty acids, and higher antioxidant properties, as well
as probiotic properties. This review presents non-dairy kefir alternatives with potential health
benefits as well as the chemical and physical reactions occur during the fermentation process effecting
sensory properties.