bluuebunny/crossref_metadata_2025_split huggingface dataset:
Commitment, Community and Consciousness: A Collaborative Autoethnography of a Doctoral Sister Circle
Authors: Teasdell Annette , Lee Shanique Joan , Calloway Alexis Monique , Adams Tempestt Richardson 
Published: June 2023

Although multiple studies acknowledge the significance of mentoring for African American women doctoral students, the literature lacks empirical support for the formation, sustainability and outcomes of mentoring relationships. In academia, African American women are an understudied subject which leads to a paucity of educational programming and policies that address their specific learning needs. Without targeted research, educators are limited in their ability to understand African American women doctoral students’ educational needs. The purpose of this collaborative autoethnography was to examine the reflections of four women participating in a doctoral sister circle called UUSC. This study explored their lived experiences and ways UUSC nurtured, supported, and empowered both the students and their mentor. Data analysis showcased themes of commitment, community and consciousness which can be instructive for other African American women doctoral students and mentors. Findings indicated that in safe spaces, such as this sister circle, where African American women are authentically concerned about each other’s well being and success, their level of commitment and consciousness increases. This work has implications for educators and students because it provides a roadmap for addressing the unique learning needs of African American women through mentoring.
Grieving Black Girlhoods
Authors: Brown Taryrn T.C. 
Published: June 2023

In the legacy of Black womanhood, surviving the loss of a loved one is etched into our blood memory. Amidst some of the most unfathomable grief, we, daughters of the dust, are often expected to move forward as quickly as possible (Beauboeuf-Lafontant, 2009; Romero, 2000). Black women and girls have historically had to overcome–or mask–insurmountable losses at intersections of identity, to ensure Black survival (Collins, 2000; Evans-Winters, 2019). I propose a strong Black girl schema (Brown, 2021) to trouble the erasure of lived experience evident in pervasive cultural discourses like strong Black woman schema (Beauboeuf-Lafontant, 2009).
Utilizing Sista circle methodology (Johnson, 2015) and extending duoethnography (Sawyer & Norris, 2013) within embodied memory work (Dillard, 2000; Ohito, 2020) and storytelling (Evans-Winters, 2019), this paper extends the future possibilities of grief scholarship centering grieving Black girlhoods. Further, the paper acknowledges the enduring tensions in navigating grief and aspires to highlight the power of embodied memory work to illuminate the current and (re)membered geographies of grieving Black girlhoods.
Análisis de esfuerzos en geometrías de andamios óseos bajo cargas de compresión con las propiedades mecánicas de un material de Hidroxiapatita/ácido láctico
Authors: Díaz León José Luis , Hernández Navarro Carolina , Martínez Valencia Mariana Itzel , Vázquez López José Antonio 
Published: June 2023

La relación entre la resistencia del material y la geometría de los andamios óseos asegura que los poros del andamio se mantengan íntegros mientras las células de los huesos se desarrollan a través de ellos. En este estudio se presentan las simulaciones mecánicas de dos geometrías de andamios óseos usando las propiedades mecánicas de la Hidroxiapatita (HAp) mezclado con ácido láctico. Se realizaron ensayos de compresión en la HAp para conocer sus propiedades mecánicas, después se modelaron dos geometrías de andamios óseos en base a la porosidad y tamaño adecuados para la regeneración celular según lo reportado en la literatura y se usaron los valores de las propiedades mecánicas para las simulaciones MEF. Se encontró un módulo elástico de 253.4 MPa, el esfuerzo de cedencia de 7.53 MPa y el módulo de Poisson de 0.33. Las porosidades calculadas para los modelos CAD cúbico y cilíndrico son de 43.83% y de 50.51% respectivamente. Se encontró que el modelo cúbico soportó una fuerza de 21 N en contraste con el modelo cilíndrico que soportó una fuerza de 19 N, estas fuerzas se aplicaron en las simulaciones con la finalidad de no superar el esfuerzo máximo permisible de 4.5 MPa de la HAp.
Frazil ice events: Assessing what to expect in the future
Authors: Barrette Paul Dominique , Lindenschmidt Karl-Erich 
Published: June 2023

Abstract
This article addresses the question: What is expected from frazil ice activity in rivers, taking into account the changing climate? It begins with an overview of what frazil ice is and what is required for the occurrence of frazil ice events, namely a supercooled water column. Methodologies to anticipate frazil ice events in the short term are based on air temperature and water discharge, underlining the significance of these two parameters for any predictive methods. Longer-term approaches, calibrated against past events (hindcasting), are used to anticipate frazil ice activity into the future, with indicators such as frazil ice risk, water temperature and frazil volume. Any of these approaches could conceivably be applied to frazil-prone river stretches. To assess climate impact, each location should be treated separately. River ice dynamics can lead to the formation of a hanging dam, a frequent outcome of frazil ice generation in the early winter, causing flow restriction. Flood modeling and forecasting capabilities have been developed and implemented for operational use. More frequent mid-winter breakups are expected to extend the occurrence of frazil ice events into the winter months – the prediction of these will require climate model output to adequately capture month-to-month variability.
Diabetes Health Supervision and Treatment Strategy Based on Data
Management and Analysis on eKTANG Platform
Authors: Jiang Yin , Wang Ying 
Published: June 2023

Background:
The management of diabetes-related risk factors could effectively reduce
the occurrence of its complications, improve the quality of life of patients, and reduce the mortality
of patients. Data analysis based on the eKTANG platform could greatly improve the efficiency of
communication between patients and doctors, and strengthen the treatment and management of diabetes.

Aim:
We created eKTANG to monitor patient health effectively. The eKTANG health management
system aims to extensively intervene in blood glucose monitoring, nutrition, exercise, medicine,
and health education to enable diabetes patients to achieve optimal treatment results.

Methods:
Diabetes patients diagnosed by Henan University Medical School included through the
eKTANG platform were randomly divided into three groups: member service package group, discharge/
outpatient follow-up group, and out-of-hospital care group. We conducted intensive out-ofhospital
interventions for three groups of patients for three months to help patients formulate precise
blood glucose control plans and conduct training. The traditional group was compared with the
eKTANG platform group, and the physiological indicators and patient compliance of the four
groups were observed 6 months later.

Results:
In the eKTANG platform management group, the average blood glucose compliance rate
increased significantly, and the percentage of average blood glucose in the range of 3.9-10.0
showed an upward trend. Fasting blood glucose and postprandial blood glucose showed a downward
trend. At the same time, the number of patients per capita blood glucose monitoring showed a
significant increase compared with the control group.

Conclusion:
The establishment of the eKTANG platform can improve the efficiency of patient’s
medical treatment, improve their lifestyles, reduce the incidence of patient complications, and
build a virtuous circle gradually. This research has strengthened the health management and autonomy
of diabetic patients and improved the efficiency of treatment. It is worthy of promotion.
Caffeine Improve Memory and Cognition via Modulating Neural Progenitor
Cell Survival and Decreasing Oxidative Stress in Alzheimer's Rat
Model
Authors: Tiwari Virendra , Mishra Akanksha , Singh Sonu , Shukla Shubha 
Published: June 2023

Aims:
Caffeine possesses potent antioxidant, anti-inflammatory and anti-apoptotic activities
against a variety of neurodegenerative diseases, including Alzheimer’s disease (AD) and Parkinson’s
disease (PD). The goal of this study was to investigate the protective role of a psychoactive substance
like caffeine on hippocampal neurogenesis and memory functions in streptozotocin (STZ)-induced
neurodegeneration in rats.

Background:
Caffeine is a natural CNS stimulant, belonging to the methylxanthine class, and is a
widely consumed psychoactive substance. It is reported to abate the risk of various abnormalities that
are cardiovascular system (CVS) related, cancer related, or due to metabolism dysregulation. Shortterm
caffeine exposure has been widely evaluated, but its chronic exposure is less explored and pursued.
Several studies suggest a devastating role of caffeine in neurodegenerative disorders. However,
the protective role of caffeine on neurodegeneration is still unclear.

Objective:
Here, we examined the effects of chronic caffeine administration on hippocampal neurogenesis
in intracerebroventricular STZ injection induced memory dysfunction in rats. The chronic effect
of caffeine on proliferation and neuronal fate determination of hippocampal neurons was evaluated
by co-labeling of neurons by thymidine analogue BrdU that labels new born cells, DCX (a marker for
immature neurons) and NeuN that labels mature neurons.

Methods:
STZ (1 mg/kg, 2 μl) was injected stereotaxically into the lateral ventricles (intracerebroventricular
injection) once on day 1, followed by chronic treatment with caffeine (10 mg/kg, i.p) and
donepezil (5 mg/kg, i.p.). Protective effect of caffeine on cognitive impairment and adult hippocampal
neurogenesis was evaluated.

Results:
Our findings show decreased oxidative stress burden and amyloid burden following caffeine
administration in STZ lesioned SD rats. Further, double immunolabeling with bromodeoxyuridine+/
doublecortin+ (BrdU+/DCX+) and bromodeoxyuridine+/ neuronal nuclei+ (BrdU+/NeuN+) has
indicated that caffeine improved neuronal stem cell proliferation and long term survival in STZ lesioned
rats.

Conclusion:
Our findings support the neurogenic potential of caffeine in STZ induced neurodegeneration.
Nanoencapsulation of Ruthenium Complex Ru(ThySMet): A Strategy to
Improve Selective Cytotoxicity against Breast Tumor Cells in 2D and 3D
Culture Models
Authors: Becceneri Amanda Blanque , Fuzer Angelina Maria , Lopes Ana Carolina , da Silva Patrícia Bento , Plutin Ana Maria , Batista Alzir Azevedo , Chorilli Marlus , Cominetti Márcia Regina 
Published: June 2023

Background:
Ruthenium complexes have shown promise in treating many cancers, including
breast cancer. Previous studies of our group have demonstrated the potential of the trans-
[Ru(PPh3)2(N,N-dimethylN′-thiophenylthioureato-k2O,S)(bipy)]PF6 complex, the Ru(ThySMet), in the
treatment of breast tumor cancers, both in 2D and 3D culture systems. Additionally, this complex presented
low toxicity when tested in vivo.

Aims:
Improve the Ru(ThySMet) activity by incorporating the complex into a microemulsion (ME)
and testing its in vitro effects.

Methods:
The ME-incorporated Ru(ThySMet) complex, Ru(ThySMet)ME, was tested for its biological
effects in two- (2D) and three-dimensional (3D) cultures using different types of breast cells, MDAMB-
231, MCF-10A, 4T1.13ch5T1, HMT-3522 and Balb/C 3T3 fibroblasts.

Results:
An increased selective cytotoxicity of the Ru(ThySMet)ME for tumor cells was found in 2D
cell culture, compared with the original complex. This novel compound also changed the shape of tumor
cells and inhibited cell migration with more specificity. Additional 3D cell culture tests using the
non-neoplastic S1 and the triple-negative invasive T4-2 breast cells have shown that Ru(ThySMet)ME
presented increased selective cytotoxicity for tumor cells compared with the 2D results. The morphology
assay performed in 3D also revealed its ability to reduce the size of the 3D structures and increase
the circularity in T4-2 cells.

Conclusion:
These results demonstrate that the Ru(ThySMet)ME is a promising strategy to increase its
solubility, delivery, and bioaccumulation in target breast tumors.
Continuous-flow Synthesis of Ruthenium Nanoparticles using a
Microreactor for the Selective Hydrogenation Reaction
Authors: Srivastava Vivek 
Published: June 2023

Abstract:
In this study, a continuous flow reactor was used to synthesize Ru nanoparticles with a
well-distributed size and good stability. The effects of reactant dilution and flow rate on the synthesis
were investigated, and it was found that optimization of these parameters was critical in obtaining
small-sized Ru nanoparticles using a solution of 0.00025 M RuCl3.3H2O and 0.001M NaBH4 at a flow
rate of 30mL/h. The Ru nanoparticles obtained were coated with CTAB surfactant, which was confirmed
by TEM and PSD studies. The interaction between the surfactant and the nanoparticles was also
confirmed by FTIR analysis. The synthesized Ru nanoparticles were then tested for their catalytic
activity in high-pressure alkene hydrogenation and were found to be effective in producing the corresponding
hydrogenated products in good yields. Furthermore, the catalytic effect of Ru nanoparticles
was utilized for the synthesis of two natural products, brittonin A and dehydrobrittonin A. Both products
were successfully isolated in measurable yields. This synthesis protocol had several advantages,
including low catalyst loading, no use of additives, wide substrate scope, simple product separation,
and catalyst recovery up to 8 times. Overall, this study demonstrated the potential of continuous flow
reactor technology for synthesizing stable and well-distributed nanoparticles, and the effectiveness of
Ru nanoparticles as catalysts in various chemical reactions. The study's findings have important implications
for the development of more efficient and sustainable chemical synthesis protocols
Design of Podophyllotoxin-based Hybrid Compounds as Potential Anticancer Agents
Authors: Wang Hezhen , Sun Xun , Wei Chunyong , Wang Jing , Zhang Lei 
Published: June 2023

Background:
Cancer has been regarded as the leading cause of death worldwide. Identifying
new anti-neoplastics with high potency and low toxicity is urgent.

Objective:
Podophyllotoxin-based hybrid compounds were synthesized by esterification and characterized
using NMR and HR-MS. In vitro cytotoxicity and molecular mechanism studies were performed.

Methods:
Podophyllotoxin was hybridized with three selected known natural compounds via esterification
to develop candidates with increased biological activity or decreased toxicity. The CCK-8 assay, cell
cycle analysis, AO/EB staining, immunofluorescent analysis, and molecular modeling were used for investigation.

Results:
Compound B4 displayed potent anticancer effect on HepG2 and HSC-2 cell lines, with IC50 values
of 0.809 ± 0.183 and 0.267 ± 0.038 μM, respectively. Furthermore, B4 exhibited less antiproliferative
activity in 293T cells with an IC50 value of 2.303 ± 0.216 μM. In addition, B4 demonstrated strong induction
of S phase arrest and apoptosis, as well as demolished the microtubules in HSC-2 cells. Molecular
docking study revealed that B4 could bind into the colchicine site of β-tubulin, as well as the interface of
the α/β-tubulin dimer.

Conclusion:
Hybrid B4 exhibited potential anticancer activity, and further investigations can help in identifying
novel lead molecules.
Using Machine Learning and Artificial Intelligence to Predict Diabetes Mellitus among Women Population
Authors: Alfalki Ali Mamoon 
Published: June 2023

Introduction:
Diabetes Mellitus (DM) is a chronic health condition (long-lasting) due to inadequate control of blood levels of glucose. This study presents a prediction of type 2 diabetes mellitus among women using various Machine Learning (ML) algorithms deployed to predict the diabetic condition. A University of California Irvine (UCI) diabetes mellitus dataset posted on Kaggle was used for analysis

Methods:
The dataset included eight risk factors for type 2 diabetes mellitus prediction, including age, systolic blood pressure, glucose, body mass index (BMI), insulin, skin thickness, diabetic pedigree function, and pregnancy. R language was used for the data visualization, while the algorithms considered for the study were logistic regression, Support Vector Machines (SVM), Decision Trees, and Extreme Gradient Boost (XGB). The performance analysis of these algorithms on various classification metrics was also presented, considering that the AUC-ROC score is the best for Extreme Gradient Boost (XGB) with 85%, followed by SVM and Decision Trees (DT).

Results:
The Logistic Regression (LR) demonstrated low performance, but the decision trees and XGB showed promising performance against all the classification metrics. Moreover, SVM offers a lower support value, so it cannot be considered a good classifier. The model showed that the most significant predictors of type 2 diabetes mellitus were glucose levels and body mass index, whereas age, skin thickness, systolic blood pressure, insulin, pregnancy, and pedigree function were less significant. This type of real-time analysis has proven that the symptoms of type 2 diabetes mellitus in women fall entirely different compared to men, which highlights the importance of glucose levels and body mass index in women.

Conclusion:
The prediction of type 2 diabetes mellitus helps public health professionals to suggest proper food intake and adjust lifestyle activities with good fitness management in women to make glucose levels controlled. Therefore, the healthcare systems should give special attention to diabetic conditions in women. This work attempts to predict the occurrence of type 2 diabetes mellitus among women from their various behavioral and biological conditions.
Quality by Design Approach for Preparation, Characterization, and Statistical
Optimization of Naproxen Sodium-loaded Ethosomes via Transdermal
Route
Authors: Chettupalli Ananda Kumar , Ajmera Srivani , Amarachinta Padmanabha Rao , Manda Ram Mohan , Jadi Rajendra Kumar 
Published: June 2023

Aim:
The primary goal of this study is to create a novel naproxen sodium-loaded
ethosome drug delivery system for improving bioavailability, solubility and optimize using a statistical
approach.

Background:
Naproxen sodium (i.e., a non-steroidal anti-inflammatory drug) is chosen as the first
line of treatment for rheumatoid arthritis and ankylosing spondylitis. However, naproxen has side
effects, such as bronchospasm, an irregular heart rhythm, etc. Therefore, adopting new drug delivery
strategies when developing the dosage form is necessary and the need of the hour to prevent its
side effects. The available commercial products are administered through the oral and parenteral
routes, which lack bioavailability and permeability respectively.

Objective:
Novel ethosomal carriers were designed using Box Behnken Design (BBD) and formulation
was prepared for enhanced topical delivery of naproxen sodium ethosomal gel.

Methods:
In order to analyze the data statistically and graphically with response surface plots, the
Box-Behnken design was used to optimize the formulation variables. The independent factors were
phosphatidylcholine (X1), cholesterol (X2), and ethanol (X3), while the dependent variables were
entrapment efficiency (Y2), vesicle size (Y1), and PDI (Y3). The Carbopol® 940 gel was then made
using the improved ethosomes. Its rheological properties, in-vitro release, ex-vivo skin penetration,
and deposition were studied.

Results:
The best ethosomes were made by mixing phosphatidylcholine and cholesterol in a phosphate
buffer at pH 7.4 with 2–5% v/v ethanol. The optimized ethosomes showed a zeta potential of
-32.06 ± 0.16 mV, EE of 84.59 ± 2.38%, and a vesicular size of 105 ± 6.97 nm. Compared to the
commercial products and the ethanolic solution of naproxen, these ethosomes considerably increased
the amount of naproxen permeated through the skin over 24 hours. The stability of the optimized
formulation was assessed for three months at room temperature, and it was found that the
efficiency of the prepared novel ethosomal formulation remained intact.

Conclusion:
In summary, it was discovered that the ethosomal vesicles were potential carriers,
showing the improved topical distribution of naproxen sodium. These findings demonstrated that
using ethosomes as a transdermal medication carrier for naproxen was feasible. Compared to drug
solutions, the ex-vivo permeation and skin deposition experiments produced better results.
LC-UV and LC-MS Characterization of Stress Degradation Behavior of
Levocetirizine Using a Green Mobile Phase
Authors: Bhusari Vidhya K. , Ghante Minal R. , Lonkar Akanksha , Kulkarni Preeti D. , Jagtap Supriya G. 
Published: June 2023

Introduction:
The current investigation's objective was to develop an HPLC method along
with a validated stability-indicating method and analyzing the behavior of levocetirizine degradation under
various ICH-suggested stress conditions using LC-UV and LC-MS with a triple quadrupole mass
analyzer.

Methods:
Levocetirizine was exposed to various stressors while performing degradation studies. Using
LC-UV and LC-MS methods, the degradation products formed in different stress environments were
studied. The drug and degradation products were successfully separated using a Thermo Hypersil BDSC18
column having a dimension of 250 mm length, 4.6 mm internal diameter, and a particle size of 5.0
μm. The isocratic green mobile phase contained methanol:water in the proportion of 65:35 at a flow rate
of 1 mL/min, and the selected wavelength for the UV detector was 230 nm.

Results:
Significant degradation was found in acidic, alkaline, and oxidative conditions, whereas in photo
and neutral conditions, no degradation products were formed. The drug was fairly stable in the solid state.

Conclusion:
The values of m/z obtained from LC-MS after exposing the drug to different stress
conditions were used to study fragmentation patterns, characterize the structure of the degradation
product, and design the degradation pathway.
Polymeric Micelles as Drug Delivery System: Recent Advances, Approaches,
Applications and Patents
Authors: Jain Anushka , Bhardwaj Kamini , Bansal Mukesh 
Published: June 2023

Abstract:
Administering therapeutics through the oral route is a pervasive and widely approved
medication administration approach. However, it has been found that many drugs show low systemic
absorption when delivered through this route. Such limitations of oral drug delivery can be
overcome by polymeric micelles acting as vehicles. As a result, they improve drug absorption by
protecting loaded drug substances from the gastrointestinal system's hostile conditions, allowing
controlled drug release at a specific site, extending the time spent in the gut through mucoadhesion,
and inhibiting the efflux pump from reducing therapeutic agent accumulation. To promote good
oral absorption of a weakly water-soluble medicinal drug, the loaded medicine should be protected
from the hostile atmosphere of the GI tract. Polymeric micelles can be stacked with a broad assortment
of ineffectively dissolvable medications, improving bioavailability. This review discusses
the major mechanism, various types, advantages, and limitations for developing the polymeric micelle
system and certain micellar drug delivery system applications. The primary goal of this
review is to illustrate how polymeric micelles can be used to deliver poorly water-soluble medications.