bluuebunny/crossref_metadata_2025_split huggingface dataset:
Experimental and Numerical Analysis of Thermal Resistance and Thermal Conductivity in Silica Fibrous Insulation Material at High Temperatures
Authors: Mirsharipov Behzod 
Published: April 2024

Abstract

This study presents an in-depth experimental and numerical analysis of thermal resistance and effective thermal conductivity in silica dioxide fibrous insulation materials under high-temperature conditions. The primary objective was to accurately measure thermal properties to ensure the safety and integrity of structures subjected to extreme temperatures, such as rocket exteriors. A steady-state experimental approach was employed to determine the thermal behavior of the silica fibrous sample. Subsequently, a comprehensive 3D model was developed to simulate these conditions, allowing for a detailed comparison between experimental findings and numerical predictions. The results demonstrated a significant correlation between the experimentally obtained data and the simulations, highlighting the reliability of the numerical model in predicting the thermal behavior of silica fibrous insulation materials. The conclusion drawn from this research underscores the critical importance of precise assessment of thermal conductivity and thermal resistance in high-temperature insulation materials. Accurate evaluations are essential for the design and safety of rocket structures, as they significantly influence the thermal protection system's effectiveness. This study not only contributes to the understanding of silica fibrous materials' thermal properties but also provides a validated methodological framework for future research in the thermal analysis of insulation materials.
Probiotic treatment causes sex-specific neuroprotection after traumatic brain injury in mice
Authors: Holcomb Morgan , Marshall Austin , Flinn Hannah , Lozano Mariana , Soriano Sirena , Gomez-Pinilla Fernando , Treangen Todd J. , Villapol Sonia 
Published: April 2024

Abstract

Background Recent studies have shed light on the potential role of gut dysbiosis in shaping traumatic brain injury (TBI) outcomes. Changes in the levels and types ofLactobacillusbacteria present might impact the immune system disturbances, neuroinflammatory responses, anxiety and depressive-like behaviors, and compromised neuroprotection mechanisms triggered by TBI. Objective This study aimed to investigate the effects of a daily pan-probiotic (PP) mixture in drinking water containing strains ofLactobacillus plantarum, L. reuteri, L. helveticus, L. fermentum, L. rhamnosus, L. gasseri, andL. casei, administered for either two or seven weeks before inducing TBI on both male and female mice. Methods Mice were subjected to controlled cortical impact (CCI) injury. Short-chain fatty acids (SCFAs) analysis was performed for metabolite measurements. The taxonomic profiles of murine fecal samples were evaluated using 16S rRNA V1-V3 sequencing analysis. Histological analyses were used to assess neuroinflammation and gut changes post-TBI, while behavioral tests were conducted to evaluate sensorimotor and cognitive functions. Results Our findings suggest that PP administration modulates the diversity and composition of the microbiome and increases the levels of SCFAs in a sex-dependent manner. We also observed a reduction of lesion volume, cell death, and microglial and macrophage activation after PP treatment following TBI in male mice. Furthermore, PP-treated mice show motor function improvements and decreases in anxiety and depressive-like behaviors. Conclusion Our findings suggest that PP administration can mitigate neuroinflammation and ameliorate motor and anxiety and depressive-like behavior deficits following TBI. These results underscore the potential of probiotic interventions as a viable therapeutic strategy to address TBI-induced impairments, emphasizing the need for gender-specific treatment approaches.
Urinary Tract Infection in a Postmenopausal Diabetic Woman: A Controversial Case of Antimicrobial Susceptibility
Authors: Saadeh Angela Samer , Saadeh Aleen Samer 
Published: April 2024

Abstract

Urinary tract infections (UTIs), which damage the kidneys, bladder, ureters, and urethra, are brought on by bacteria that grow in urine. Urinary tract infections are more likely to occur in women with diabetes. The patient in this case is a 58-year-old postmenopausal lady who had abrupt onset dysuria with burning when she urinated and increasing frequency, along with uncontrolled type 1 diabetes and hypertension. This case highlights shortcomings in the initial management strategy for conducting required clinical laboratory procedures, including urine collection, detailed report (DR), and culture and sensitivity (C/S), and testing for plasma glucose to start antimicrobial therapy. Diabetic individuals who experience dysuria, frequent urination, or pelvic pain should receive specific treatment for urinary tract infections. When a patient first develops symptoms, antibiotic treatment for UTIs should always start with a culture and sensitivity analysis. In order to obtain the intended therapeutic effects, comorbidities must be adequately treated during treatment.
Regulation of Enhancers by SUMOylation Through TFAP2C Binding and Recruitment of HDAC Complex to the Chromatin
Authors: Abeywardana Tharindumala , Wu Xiwei , Huang Shih-Ting , Masangkay Grace Aldana , Rodin Andrei S. , Branciamore Sergio , Gogoshin Grigoriy , Li Arthur , Du Li , Tharuka Neranjan , Tomaino Ross , Chen Yuan 
Published: April 2024

Abstract

Enhancers are fundamental to gene regulation. Post-translational modifications by the small ubiquitin-like modifiers (SUMO) modify chromatin regulation enzymes, including histone acetylases and deacetylases. However, it remains unclear whether SUMOylation regulates enhancer marks, acetylation at the 27th lysine residue of the histone H3 protein (H3K27Ac). To investigate whether SUMOylation regulates H3K27Ac, we performed genome-wide ChIP-seq analyses and discovered that knockdown (KD) of the SUMO activating enzyme catalytic subunit UBA2 reduced H3K27Ac at most enhancers. Bioinformatic analysis revealed that TFAP2C-binding sites are enriched in enhancers whose H3K27Ac was reduced by UBA2 KD. ChIP-seq analysis in combination with molecular biological methods showed that TFAP2C binding to enhancers increased upon UBA2 KD or inhibition of SUMOylation by a small molecule SUMOylation inhibitor. However, this is not due to the SUMOylation of TFAP2C itself. Proteomics analysis of TFAP2C interactome on the chromatin identified histone deacetylation (HDAC) and RNA splicing machineries that contain many SUMOylation targets. TFAP2C KD reduced HDAC1 binding to chromatin and increased H3K27Ac marks at enhancer regions, suggesting that TFAP2C is important in recruiting HDAC machinery. Taken together, our findings provide insights into the regulation of enhancer marks by SUMOylation and TFAP2C and suggest that SUMOylation of proteins in the HDAC machinery regulates their recruitments to enhancers.
Towards enhanced surface roughness modeling in machining: an analysis of data transformation techniques
Authors: Thinh Hoang Xuan , Khiem Vu Van , Giang Nguyen Truong 
Published: April 2024

Data transformation methods are utilized to convert datasets into non-integer formats, potentially altering their distribution patterns. This implies that the variance and standard deviation of the dataset may be altered after the dataset undergoes data transformation operations. Improving model accuracy is a primary application of these methods. This study compares the efficacy of three data transformation techniques: square root transformation, logarithmic transformation, and inverse transformation. The comparison is conducted within the context of developing a surface roughness model for a turning process. Eighteen experiments are performed using the Box-Behnken method, with surface roughness chosen as the response variable. The surface roughness dataset undergoes transformation using the mentioned methods. Four surface roughness regression models are then built: one without transformation, one with square root transformation, one with logarithmic transformation, and one with inverse transformation. Evaluation metrics include coefficient of determination (R-Sq), adjusted coefficient of determination (R-Sq(adj)), Mean Absolute Error (%MAE), and Mean Squared Error (%MSE). Results indicate logarithmic transformation as the most effective, followed by square root transformation, in enhancing model accuracy. The surface roughness model utilizing data transformation exhibits high R-Sq and R-Sq(adj) values, at 0.8792 and 0.7434 respectively. On the other hand, this model has %MAE and %MSE values of only 10.33 and 2.05 respectively. Conversely, inverse transformation exhibits the least effectiveness among the three methods
Impact of climate change on the streamflow in northern Patagonia
Authors: Rivera Juan , Robo Malaëka , Bianchi Emilio , Mulleady Cristóbal 
Published: April 2024

ABSTRACT

Streamflow simulations from the Inter-Sectoral Impact Model Intercomparison Project phase 2b (ISIMIP2b) were analyzed to evaluate future changes in surface water resources over northern Patagonia, a region that contributes significantly to the total hydropower production of Argentina. Ten global hydrological models (GHMs), forced by four general circulation models, effectively capture the winter streamflow maximum in the Negro river basin. However, most of them face challenges in simulating the late-spring pulse due to a misrepresentation of temperature over the higher elevations of the Andes. We quantified the future streamflow evolution using a multi-model ensemble from a subset of the best-performing GHMs under the RCP2.6 and RCP6.0 emission scenarios for two temporal horizons. According to the multi-model ensemble, there is a projected decrease in the annual streamflow of the analyzed rivers, which is more important considering the RCP6.0 scenario during the late 21st century, reaching up to −40% relative to the 1979–2005 reference period. This reduction is attributed to the projected precipitation decline in the headwaters of the Negro river basin in response to changes in the surface pressure patterns. These results have implications for regional water authorities for the development of adaptation plans considering future demand projections.
Optimal hydroelectric energy utilization with ATDOA: a case study of the Bumbuna Dam
Authors: Yi Zhenyi , Meng Senyue , Abdolhosseinzadeh Sama 
Published: April 2024

ABSTRACT
Given that hydroelectric energy is regarded as the tertiary means of electricity production and furthermore the most crucial renewable energy producer globally, the imperative of maximizing the utilization of the vast and costly water resource, which depletion is increasingly conspicuous each passing day, is more pressing than before. In this study, the Advanced Tasmanian Devil Optimization Algorithm (ATDOA) is employed to optimize the utilization of hydroelectric energy derived from the Bumbuna Dam reservoir. This reservoir is situated in the Seli River, located in the Northern Province of Sierra Leone. The research period includes 138 months, covering the duration from October 2010 to April 2022. The Tasmanian Devil Optimization Algorithm, which is bio-inspired algorithm, has been shown to be an effective optimization technique in multiple scholarly researches. The decision variables in the hydroelectric energy optimization model from the reservoir are the optimal release values of the monthly hydroelectric output from the reservoirs of the dams. After verifying the correctness of the ATDOA algorithm by using several standard benchmark functions, a model was developed for optimal hydroelectric utilization of the Bumbuna Dam.
The Neem Limonoid Nimbolide Modulates Key Components of the DNA Damage Response Signalling in Cellular and Animal Models of Oral Squamous Cell Carcinoma
Authors: Arvindh Soundararajan , Priyadarshini Manashi , Baba Abdul Basit , Veeravarmal Veeran , Mishra Rajakishore , Dash Rupesh , Nagini Siddavaram 
Published: April 2024

Background:
Deregulated DNA damage response (DDR) network is implicated in
cancer progression and therapy resistance.

Objective:
The present study was designed to investigate whether nimbolide, an anticancer neem
limonoid, targets key components of the DDR signalling pathway in cellular and animal models
of oral squamous cell carcinoma (OSCC).

Methods:
OSCC cells (SCC-4 and SCC-9), 7,12-dimethylbenz[a]anthracene (DMBA)-induced
hamster buccal pouch (HBP) carcinoma model, chemoresistant OSCC patient-derived xenograft
(PDX) model established in athymic nude mice, and tissue sections from patients with oral
premalignant/malignant disease were used for the study. Key molecules that orchestrate the
DDR, including the MRN complex, ATM, DNA-PKcs, H2AX, and p53, were analysed by qRTPCR,
immunoblotting, immunofluorescence, and immunohistochemistry. Cell proliferation and
apoptosis indices were evaluated.

Results:
Nimbolide significantly reduced 8-oxodG levels, expression of MRN, ATMS1891, and γH2AX, with an increase in p-p53S15 in OSCC cells as well as in the HBP model. Nimbolide potentiated the effect of KU-55933 in ATM inhibition. In the PDX model, nimbolide suppressed
tumor formation, stimulated DDR and apoptosis, inhibited cell proliferation, and enhanced sensitivity to cisplatin. Analysis of p-ATM expression revealed a significant increase during the sequential progression of hamster and human OSCC.

Conclusions:
This study provides compelling evidence that nimbolide functions as a DDR inhibitor
in cellular and hamster OSCC models and as a DDR activator in the PDX model primarily by
targeting ATM. Small molecules like nimbolide that modulate DDR are of immense benefit in
cancer therapy. The study has also unveiled p-ATM as a promising biomarker of tumour progression
in human OSCCs.
Solid CaCO3 Formation in Glioblastoma Multiforme and its Treatment with Ultra-Nanoparticulated NPt-Bionanocatalysts
Authors: Lopez-Goerne Tessy , Arellano Alfonso , Padilla-Godinez Francisco J. , Magana Carlos , Gonzalez-Bondani Antonela , Valiente Rafael 
Published: April 2024

Background:
Glioblastoma multiforme (GBM), the most prevalent form of central nervous
system (CNS) cancer, stands as a highly aggressive glioma deemed virtually incurable according
to the World Health Organization (WHO) standards, with survival rates typically falling
between 6 to 18 months. Despite concerted efforts, advancements in survival rates have been elusive.
Recent cutting-edge research has unveiled bionanocatalysts with 1% Pt, demonstrating unparalleled
selectivity in cleaving C-C, C-N, and C-O bonds within DNA in malignant cells. The application
of these nanoparticles has yielded promising outcomes.

Objective:
The objective of this study is to employ bionanocatalysts for the treatment of Glioblastoma
Multiforme (GBM) in a patient, followed by the evaluation of obtained tissues through electronic
microscopy.

Methods:
Bionanocatalysts were synthesized using established protocols. These catalysts were
then surgically implanted into the GBM tissue through stereotaxic procedures. Subsequently, tissue
samples were extracted from the patient and meticulously examined using Scanning Electron
Microscopy (SEM).

Results and Discussion:
Detailed examination of biopsies via SEM unveiled a complex network
of small capillaries branching from a central vessel, accompanied by a significant presence of
solid carbonate formations. Remarkably, the patient subjected to this innovative approach exhibited
a three-year extension in survival, highlighting the potential efficacy of bionanocatalysts in
combating GBM and its metastases.

Conclusion:
Bionanocatalysts demonstrate promise as a viable treatment option for severe cases
of GBM. Additionally, the identification of solid calcium carbonate formations may serve as a diagnostic
marker not only for GBM but also for other CNS pathologies.

conclusion:
Bionanocatalysts may be used to treat severe cases of GBM. Furthermore, solid calcium carbonate may work as a diagnosis factor regarding this and other CNS pathologies.
The Role of Selenium Nanoparticles in Addressing Diabetic
Complications: A Comprehensive Study
Authors: Satpathy Siddharth , Panigrahi Lipsa Leena , Arakha Manoranjan 
Published: April 2024

Abstract::
Diabetes, as an emerging epidemic, has put forward a significant spotlight on the evolving
population worldwide grounded upon the remarkable affliction of healthcare along with economical
conflict. Various studies suggested that, in modern society, lack of maintenance of a
healthy life style leads to the occurrence of diabetes as insulin resistant, later having a damaging
effect on the pancreatic β-cells, suggesting various complications. Furthermore, diabetes management
is controversial owing to different opinions based on the prevention of complications. For
this purpose, nanostructured materials (NSM) like selenium nanoparticles (SeNPs) have proved
their efficiency in the therapeutic management of such serious diseases. This review offers an in-
-depth idea regarding the pathophysiology, diagnosis and various conventional therapeutics of
type 1 and type 2 diabetes, shedding light on Diabetic Nephropathy (DN), a case study of type 1
diabetes. Moreover, this review provides an exhaustive study by highlighting the economic and
healthcare burdens associated with diabetes along with the controversies associated with conventional
therapeutic management and the promising role of NSM like selenium nanoparticles (SeNPs),
as a novel weapon for encountering such fatal diseases.
Synthesis of Symmetrical and Unsymmetrical Tetrahydroxybiphenyls and
their Evaluation as Amyloid-β Aggregation Inhibitors
Authors: Wicks Sarah L. , Roberts Jake A. , Hurtt Matthew J. , Hernandez Benjamin P. , Jones Jason J. , Taylor Andrea L. , Logan Jessica K. , Schreiber William J. , Murray Mouskudah G. , Crenshaw Brandy L. , Stevens Craig B. , Lammi Robin K. , Hanna James M. 
Published: April 2024

Abstract:
Our group recently reported that the polyhydroxy aromatic compound 3,3′,4,4′-
biphenyltetrol (2a) is a successful inhibitor of amyloid-β peptide (Aβ) aggregation, decreasing Aβ
aggregation by 50 % when present in equimolar concentrations. In the present study, several additional
biphenyltetrols were prepared and examined for their in vitro activity against aggregation of Aβ
to investigate the effect of the relative positions of hydrogen-bond donors on the aggregation process.
Congo red spectral shift assays demonstrated that, of the eight (8) additional biphenyltetrol compounds
prepared, three (3) successfully inhibited the association of Aβ monomers, two symmetrical
isomers, 2,2′,5,5′-biphenyltetrol (2c), and 2,2′,3,3′-biphenyltetrol (2d), along with one unsymmetrical
isomer, 2,3′,4′,5-biphenyltetrol (2g). These results, along with the previously reported results of 2a,
strongly suggest that hydroxyl group position affects the ability of the inhibitor to bind to Aβ assemblies,
thus impacting inhibitory efficacy.
Menstrual Cycle Characteristics and Relative Factors Among Vietnamese Female Medical Students: A Cross-Sectional Study During the COVID-19 Pandemic
Authors: Pham Khanh Hoang , Nguyen Tin Hoang , Vi Thuc , Vinh Ly Hung Huynh , Phung Thu Minh , Phuong Pham Dai Nguyen , Jill Cooper Samantha 
Published: April 2024

Aims:
To research menstrual cycle characteristics and related factors among Vietnamese
female medical students.

Background:
Female medical students, juggling demanding academic schedules, face the additional
challenge of managing the impact of their monthly cycles on daily routines, academic achievements,
and professional obligations.

Objective:
To investigate the factors influencing the menstrual cycle during this particularly stressful
period by surveying these students.

Methods:
This cross-sectional study was from 3rd year of female medical students studying full-time.

Results:
Individuals in the severe stress group experienced irregular periods in 100% of cases.
Dysmenorrhea was the next most prevalent abnormal symptom, affecting 39.7% of students. Furthermore,
abdominal pain and lower back pain were the most common symptoms of premenstrual
syndrome (PMS). The percentage of menorrhagia in the overweight-obesity group was almost 5
times higher than that of the other groups. Besides, central obesity increased the incidence of menorrhagia
by a factor of 19. Average to high levels of physical activity can increase the risk of having
dysmenorrhea. Remarkably, students who were affected by COVID-19 in terms of quality of life
were also more likely to experience dysmenorrhea.

Conclusion:
Although most medical students had normal menstrual cycles, abdominal pain and
lower back pain were the leading PMS. Moreover, overweight-obesity, central obesity, physical activity,
stress, and the COVID-19 pandemic may be relative factors of the menstrual cycle.
Gender Differences in Patients with Prolactinoma: Single-center
Ukrainian Experience
Authors: Voznyak Oleksandr , Zinkevych Iaroslav , Lytvynenko Andrii , Hryniv Nazarii , Ilyuk Roman , Kobyliak Nazarii 
Published: April 2024

Introduction:
Prolactinomas are the most common type of pituitary gland tumors that
secrete overly prolactin. They account for approximately 60% of all hormone-secreting hypophysis
tumors.

Aim:
This study aims to analyze gender differences in patients with prolactinomas who were operated
on transsphenoidal surgery and conduct a single-center retrospective analysis of patient data.

Material and Methods:
This study evaluated the medical records of 109 patients (61 females and
48 males) from 2009 to 2019 at Feofaniya Clinical Hospital of the State Administration of Affairs
in Kyiv, Ukraine. The primary criterion for including patients was a Serum Prolactin (PRL) level
of over 100 ng/ml and the presence of a pituitary adenoma (PA) as observed on MRI. Additionally,
the histological examination needed to confirm the presence of Prolactin-Secreting Pituitary
Adenomas (PSPAs) without plurihormonal activity through both microscopy and immunohistochemical
(IHC) staining.

Results:
Significant differences in preoperative PRL levels were not observed. However, males
had significantly larger tumor sizes and prevalence of macroadenomas. In male patients, the preoperative
PLR levels showed a weak negative correlation with age (r=-0.304, p < 0.036) and a positive
correlation with tumor size (r=0.555, p < 0.001) and cavernous sinus invasion (r=0.339, p < 0.018). In females, preoperative PRL was significantly associated only with tumor size and Knosp
grade.

Conclusion:
Prolactin-Secreting Pituitary Adenomas (PSPAs) are more common in women than
men and are characterized by larger and more invasive tumors with high PRL levels at diagnosis.
The PRL level and tumor size before surgery can predict early biochemical remission in both
males and females with an accuracy of 58.3% and 68.8%, respectively.