bluuebunny/crossref_metadata_2025_split huggingface dataset:
Application of the fuzzy data theory in durability estimation
Authors: Gadolina I. 
Published: September 2022

Aim. Problems associated with the study of material fatigue, while being relevant in terms of engineering practice, have a significant degree of uncertainty. The fatigue curve is censored (which indicates the presence of items that have passed the planned load cycle and destroyed by the end of the tests), while the load block made for calculating durability can be designed in a number of ways with a sufficient share of subjective decisions. The load block is intended for calculating durability and defining test plans. It is to fully reflect the entire expected operational history. Both factors are considered in the paper as elements of fuzzy logic. The author examines the creation of a scientifically substantiated load block that would take into account the possible operating modes in a right proportion and taking into account the variability. That is due to the fact that fatigue damage accumulates over the entire life of a machine and is to be scientifically evaluated for an adequate probabilistic assessment. Methods. As the modes of operation of a certain part are not precisely defined (and cannot be defined by virtue of the logic of random use of machines), projections of random fuzzy distributions are considered. A finite set of operating modes in a reasonable proportion was successfully scientifically substantiated. Using the example of load analysis of a critical part of rolling stock, distributions were constructed and the possible distribution of a part’s life was estimated. The output of the developed method will allow assessing the operational risks and predict the required number of spare parts. By taking into account the censored sample elements in the process of fatigue curve construction, the estimation of the fatigue curve parameters can be made more consistent. Conclusions. The use of fuzzy sets may prove to be very useful when examining fatigue curves and estimating durability variation. Examples are given of applying the proposed method.
Anti-nucleolin Aptamer as a Boom in Rehabilitation of Breast Cancer
Authors: Janani S.K. , Dhanabal S.P. , Sureshkumar Raman , Nikitha Upadhyayula Sai Surya 
Published: September 2022

Abstract:
Breast cancer is the second leading cause of cancer-related deaths. It’s important to target the complex pathways using a suitable targeted delivery system. Targeted delivery systems can effectively act on cancer cells and lead to the annihilation of tumor proliferation. They mainly employ targeting agents like aptamers linked to the formulation. Based on the expression of the receptors on the surface of the cancer cells, suitable aptamers can be developed. AS1411 is one such aptamer that has the ability to bind to the over-expressed nucleolin present in breast cancer cells. Nucleolin is a phosphoprotein that is involved in various aspects like cell growth, differentiation and survival. Mostly they are found in the nucleolus, nucleus, cytoplasm and cell surface. The shuttling effect of the nucleolin between nucleus and cytoplasm serves as a bonus for the AS1411 aptamer. Because of the shutting effect the internalization of the drug compound or chemotherapeutic drug inside the cell can be achieved. In this article, we have discussed about nucleolin, anti-nucleolin aptamer, namely, AS1411, and its application in exhibiting various anticancer activities including apoptosis, anti-angiogenesis, anti-metastasis, stimulation of tumor suppressor (i.e P53) and inhibition of tumor inducer. Further, the ways of internalization namely macropinocytosis is also discussed. Additionally, we have also discussed about the superiority of the aptamer compared to the antibodies. As well as the limitations of the aptamers are also discussed. By considering all above parameters, we hope this aptamer will be effective in the management and eradication of breast cancer cells.
Network Pharmacology Study on the Mechanism of Gastrodin Reversing
Depressive Symptoms in Traumatically Stressed Rats
Authors: Zhao Ruodan , Li Xie , Zhang Haizhu , Chen Xubing , Wang Ying 
Published: September 2022

Background:
Depression is a typical outcome of the repair of posttraumatic stress disorder
(PTSD). Based on network pharmacology and neuropharmacology experiments, this study
aimed to explore how gastrodin (GAS) reverses depressive symptoms in traumatically stressed rats.

Methods:
GAS-related targets were predicted by SwissTargetPrediction; depression-related targets
were collected from GeneCards and therapeutic target database (TTD); protein-protein interaction
(PPI) network was constructed with its action mechanism being predicted by gene ontology (GO)
analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment. The animal model of
PTSD was replicated by single prolonged stress (SPS). The antidepressant effect of GAS was investigated
by the forced swim test (FST) and tail suspension test (TST). The levels of tyrosine hydroxylase
(TH) and corticotropin-releasing factor type I receptor (CRF1) in locus ceruleus (LC) and the
expression of corticotropin-releasing factor (CRF) in the paraventricular nucleus of the hypothalamus
(PVN) and central amygdala (CeA) were measured by immunofluorescence.

Results:
GAS significantly shortened the tail suspension and swimming immobility in SPS rats in
TST and FST experiments (p < 0.05 or p < 0.01). The network analysis showed that the critical antidepressant
targets of GAS were 86 targets such as GAPDH, CASP3 MMP9, HRAS, DPP4, and
TH, which were significantly enriched in the pathways such as pathways neuroactive ligandreceptor
interaction. High doses of GAS could significantly reduce the level of TH and CRF in CEA
in the brain of rats with depressive symptoms (p < 0.01) and, at the same time, lower the expression
of CRF in PVN (p < 0.05).

Conclusion:
The effect of GAS on depressive symptoms in SPS rats may be closely related to its
reduction of CRF expression in PVN and CeA and inhibition of neuron (NE) synthesis in LC.
Baseline Plasma BDNF Levelsare Associated with Antianhedonic Effects of
Repeated-Dose Intravenous Ketamine in Major Depressive Disorder
Authors: Zheng Wei , Gu Limei , Zhou Yanling , Wang Chengyu , Lan Xiaofeng , Zhang Bin , Li Zezhi , Ning Yuping 
Published: September 2022

Objectives:
Evidence has shown that brain-derived neurotrophic factor (BDNF) is associated
with anhedonia symptoms in major depressive disorder (MDD) patients, while the rapid antianhedonic
effects of ketamine may occur independently of depressive symptoms. To our knowledge, the relationship
between plasma BDNF (pBDNF) and the effect of repeated-dose intravenous ketamine on anhedonic
symptoms has not been investigated.

Methods:
Seventy-five Chinese individuals with MDD received ketamine treatments. Anhedonia and
pBDNF concentrations were evaluated with a subscale of the Montgomery-Åsberg Depression Rating
Scale (MADRS) and enzyme-linked immunosorbent assay (ELISA) at baseline, day 13 and day 26.

Results:
Baseline pBDNF levels were associated with changes in anhedonic symptoms on day 13
(r=0.30, P=0.008). Interestingly, pBDNF concentrations were associated with changes in anhedonia
symptoms on day 26 (r= -0.32, P=0.02). Baseline pBDNF levels were higher in antianhedonic responders
than in antianhedonic nonresponders (F=4.2，P=0.04). Ketamine reduced anhedonia symptoms
in antianhedonic responders compared to nonresponders on days 13 and 26 (all Ps<0.05). The
baseline high BDNF group had a lower level of anhedonia than the low BDNF group on days 13
(P<0.001) and 26 (P=0.01).

Conclusion:
Our study suggests that baseline pBDNF concentrations may predict the antianhedonic
effect in individuals with MDD treated with repeated doses of ketamine.

Clinicl Trial Registration Number:
ChiCTR-OOC-17012239.
Targeting the Renin-Angiotensin System (RAS) for Neuropsychiatric
Disorders
Authors: de Miranda Aline Silva , Macedo Danielle S. , Rocha Natalia P. , Teixeira Antonio L. 
Published: September 2022

Background:
Neuropsychiatric disorders, such as mood disorders, schizophrenia, and Alzheimer’s
disease (AD) and related dementias, are associated to significant morbidity and mortality
worldwide. The pathophysiological mechanisms of neuropsychiatric disorders remain to be fully elucidated,
which has hampered the development of effective therapies. The Renin Angiotensin System
(RAS) is classically viewed as a key regulator of cardiovascular and renal homeostasis. The discovery
that RAS components are expressed in the brain pointed out a potential role for this system in central
nervous system (CNS) pathologies. The understanding of RAS involvement in the pathogenesis of
neuropsychiatric disorders may contribute to identifying novel therapeutic targets.

Objective:
We aim to report current experimental and clinical evidence on the role of RAS in physiology
and pathophysiology of mood disorders, schizophrenia, AD and related dementias. We also aim to
discuss bottlenecks and future perspectives that can foster the development of new related therapeutic
strategies.

Conclusion:
The available evidence supports positive therapeutic effects for neuropsychiatric disorders
with the inhibition/antagonism of the ACE/Ang II/AT1 receptor axis or the activation of the
ACE2/Ang-(1-7)/Mas receptor axis. Most of this evidence comes from pre-clinical studies and clinical
studies lag much behind, hampering a potential translation into clinical practice.
Mechanotransductive Receptor Piezo1 as a Promising Target in the
Treatment of Neurological Diseases
Authors: Bryniarska-Kubiak Natalia , Kubiak Andrzej , Basta-Kaim Agnieszka 
Published: September 2022

Abstract:
In recent years, increasing attention has been paid to the role of physical factors in biological
processes. This direction was ultimately confirmed by the recent 2021 Nobel Prize in medicine and
physiology awarded in ½ to Ardem Patapoutian for his discovery of Piezo1 and Piezo2 mechanosensitive
receptors. Among them, Piezo2 is responsible for sensing touch, while Piezo1 is engaged in a variety
of mechanotransduction events. Piezo1 is expressed in various central nervous system cells,
while its expression may be affected in the course of various pathological conditions. Recently, thanks
to the development of Piezo1 modulators (i.e. Yoda1, Jedi1/2 and Dooku2), it is possible to study the
role of Piezo1 in the pathogenesis of various neurological diseases including ischemia, glioma, and
age-related dementias. The results obtained in this field suggest that proper modulation of Piezo1 receptor
might be beneficial in the course of various neurological diseases.
Mesenchymal Cells are a Promising -But Still Unsatisfying- Anti-
Inflammatory Therapeutic Strategy for Osteoarthritis: A Narrative
Review
Authors: Rosini Sergio , Saviola Gianantonio , Comini Laura , Molfetta Luigi 
Published: September 2022

Abstract:
Osteoarthritis (OA) is a chronic disease with both degenerative and inflammatory charac-teristics, affecting the osteochondral unit with the involvement of cartilage, subchondral bone and periarticular tissues. OA can produce chronic pain with neuropathic and inflammatory characteris-tics, leading to an increased disability. OA is secondary to many predisposing factors where the inflammatory process plays a key role. To manage OA, it would seem logical to block the factors influencing the inflammatory process at different levels, T lymphocytes, neutrophils, and the balance between phenotype-1 macrophages (M1, pro-inflammatory) and phenotype-2 macrophages (M2 anti-inflammatory), the managing cells. The efforts to repair and rebuild the lost cartilage and the attempts to implant autologous or heterologous material, with or without growth factors and the administration of drugs or the use of medical devices, have failed their objective. TNF-alpha and IL-1 inhibitors can only have a transient effect on pain; intra-articular oxidized Low-Density Lipoproteins are able to stimulate the activation of M2, while growth factors need to be better investigated. Also, intra-articular injections of mesenchymal stem cells (MSC) can inhibit the proliferation of T-lymphocytes, leading to cartilage repair and to osteophytes inhibition thanks to the release of exosomes, nanosized particles which are the active components. Gut microbiota has a potential role in the development of OA and could be able to influence the response to therapeutic agents.
Emphysematous Osteomyelitis: Novel Use of PET-MRI and a Review of
Characteristic Imaging Findings
Authors: Purohit Kush , Shen Beiyi , Bravo-Martinez Alvaro , Halterman Justin , Mufti Musa 
Published: September 2022

Introduction:
Emphysematous osteomyelitis (EO) is an extremely rare bone infection by gas-forming bacteria with few documented cases in the literature. Our study aims to highlight characteristic imaging features, including the novel use of positron emission tomography-magnetic resonance imaging (PET-MRI) in the diagnosis of this potentially fatal entity.

Case:
Radiography and computed tomography (CT) of the pelvis were performed due to complaints of persistent back pain in a 36 year old male with history of recent abdominal aorta surgery. Sacroiliac joint aspiration was performed and a follow-up PET-MRI was subsequently performed.
Results: Radiography and CT demonstrated bilateral sacroiliitis, osteonecrosis and EO in the bony pelvis. Left sacroiliac joint aspiration identified Staphylococcus aureus as the causative organism. PET-MRI revealed EO with left iliopsoas abscess and abdominal aortic graft infection. The patient's symptoms resolved following antibiotic therapy and image-guided abscess drainage.

Conclusion:
EO is a lethal variant of osteomyelitis with a dearth of published cases. Pertinent imaging characteristics of EO on radiography, CT and PET-MRI are discussed here, along with a review of the literature surrounding this rare condition.
Predictive Value of Magnetic Resonance Imaging Multi-parametric Analysis
for Malignant Transformation of Sinonasal Inverted Papilloma: A
Comprehensive Prediction Model
Authors: Zhang Duo , Zhang Jianjun , Zhou Jin , Xu Jine , Guo Ying , Zhang Zhigang , Liu Yang , Chen Yang , Wang Shumei , Liu Chong 
Published: September 2022

Objective:
Accurate preoperative prediction of sinonasal inverted papilloma (SNIP) malignant transformation is essential and challenging. In this study, 3.0T magnetic resonance was used for qualitative, quantitative, and multi-parametric analysis to evaluate the predictive value of magnetic resonance imaging (MRI) in malignant transformation.

Methods:
The data of patients with SNIP (n=83) or SNIP-transformed squamous cell carcinoma (SNIP-SCC) (n=21) were analysed retrospectively. Univariate analysis and multivariate logistic regression were used to establish models to predict the risk factors for the malignant transformation of SNIP. Receiver operating characteristic (ROC) curves were used to evaluate the ability of independent risk factors and related combination models to predict malignant transformation of SNIP.

Result:
Convoluted cerebriform pattern (CCP) mutation, apparent diffusion coefficient ratio (ADCr), and wash-in index (WII) 2 and 3 were independent risk factors for predicting malignant transformation of SNIP, with area under the ROC curve (AUC) values of 0.845, 0.862, 0.727, and 0.704, respectively. The AUC of the quantitative parameter model combined with ADCr and WII 2 and 3 was 0.910 for diagnosing malignant transformation. The AUC of the comprehensive model comprising all independent risk factors was 0.937, with a sensitivity, specificity, and accuracy of 90.48%, 90.36%, and 92.31%, respectively.

Conclusion:
Compared with assessing independent risk factors of CCP mutation, ADCr and WII, and the quantitative parameter model, the comprehensive model could improve the differential diagnosis ability of SNIP and SNIP-SCC, which provides an important imaging basis for the possible accurate preoperative evaluation of malignant transformation of SNIP.
Development and Validation of Stability-Indicating RP-HPLC Method for
the Estimation of Fisetin in Novel Cubosomal Nanoformulation: Application
to the Marketed Formulation and Selected Plant Extracts
Authors: Jalalpure Sunil , Kurangi Bhaskar , Kedar Tukaram , Kazi Taufik 
Published: September 2022

Background:
Fisetin (FIS) is a bioactive flavonoid found in various plants, reported for
many pharmacological activities, and presently marketed as a nutraceutical. To overcome less water
solubility and bioavailability issues, FIS cubosomal nanoformulation has been prepared and characterized.

Objective:
To estimate FIS in prepared novel cubosomes, an RP-HPLC analytical method development
with the most sensitivity, economical, robust, and wide applicability in marketed FIS formulations
and plant extracts also.

Method:
An RP-HPLC method was developed and validated as per ICH Q2R1 guidelines by using
C-18 Phenomenex Luna 5μ, 100A0 column, LC-20 AD pump, and Shimadzu LC solution 1.25 software.
The combination of acetonitrile and formic acid (0.1%v/v) in the ratio of 25:75 v/v was used as
a mobile phase for chromatographic separation using a PDA detector at 360 nm and a flow rate of 1
ml/min.

Results:
The developed method was remarkably linear in the range of 0.1 to 16 μg/ml (R2 ˃ 0.999).
This method was found to be accurate (recovery 98.24 to 100.65 %), precise, robust (% RSD ˂ 2), and
more sensitive than the earlier reported method with LOD and LOQ values of 17.26 and 52.31 ng/ml,
respectively. The FIS estimation was also performed using the developed method in the marketed FIS
formulation Doctor’s Best ® Fisetin, and different plant extracts such as strawberry, grapes, black tea,
and green tea. The forced degradation study suggests that FIS was unstable in alkaline and oxidative
stress conditions.

Conclusion:
For FIS estimation in cubosomal nanoformulation, a widely applicable, novel, robust,
most sensitive, and economical RP-HPLC method was developed and validated and also applied to
marketed formulations and plant extracts.
Energy Harvesting from Ambient Vibration at Low Force/Acceleration
Input
Authors: Zarog Musaab 
Published: September 2022

Background:
Ambient vibration is a promising source to provide low-power electronic devices with energy. The piezoelectric direct effect is widely used to generate energy from mechanical stress. Generating sufficient power in milliwatts is often obtained with input acceleration greater than 1g (9.81 m/s2)

Aim:
In this work, the author demonstrated that low acceleration (between 0.1g and 0.9 g) vibration sources can be utilized to generate a satisfactory level of electric power.

Method:
A low pre-stress was introduced by fixing the piezo structure to the shaker using adhesive tape. the driving force which was less than 0.06 N. The harvester was tested at a vibration frequency of 173 Hz.

Result:
The maximum power of 1.5 mW was achieved when the harvester resistance matches the load resistance value. At maximum harvested power, the efficiency was found to be 1.6.

Conclusion:
The results indicated that prestreseed piezoceramics is good candidate for vibration energy harvesting.
Modeling the Potential Impact of Missing Race and Ethnicity Data in Infectious Disease Surveillance Systems on Disparity Measures: Scenario Analysis of Different Imputation Strategies
Authors: Ansari Bahareh , Hart-Malloy Rachel , Rosenberg Eli S , Trigg Monica , Martin Erika G 
Published: September 2022

Background
Monitoring progress toward population health equity goals requires developing robust disparity indicators. However, surveillance data gaps that result in undercounting racial and ethnic minority groups might influence the observed disparity measures.

Objective
This study aimed to assess the impact of missing race and ethnicity data in surveillance systems on disparity measures.

Methods
We explored variations in missing race and ethnicity information in reported annual chlamydia and gonorrhea diagnoses in the United States from 2007 to 2018 by state, year, reported sex, and infection. For diagnoses with incomplete demographic information in 2018, we estimated disparity measures (relative rate ratio and rate difference) with 5 imputation scenarios compared with the base case (no adjustments). The 5 scenarios used the racial and ethnic distribution of chlamydia or gonorrhea diagnoses in the same state, chlamydia or gonorrhea diagnoses in neighboring states, chlamydia or gonorrhea diagnoses within the geographic region, HIV diagnoses, and syphilis diagnoses.

Results
In 2018, a total of 31.93% (560,551/1,755,510) of chlamydia and 22.11% (128,790/582,475) of gonorrhea diagnoses had missing race and ethnicity information. Missingness differed by infection type but not by reported sex. Missing race and ethnicity information varied widely across states and times (range across state-years: from 0.0% to 96.2%). The rate ratio remained similar in the imputation scenarios, although the rate difference differed nationally and in some states.

Conclusions
We found that missing race and ethnicity information affects measured disparities, which is important to consider when interpreting disparity metrics. Addressing missing information in surveillance systems requires system-level solutions, such as collecting more complete laboratory data, improving the linkage of data systems, and designing more efficient data collection procedures. As a short-term solution, local public health agencies can adapt these imputation scenarios to their aggregate data to adjust surveillance data for use in population indicators of health equity.
Fine-tuned Sentiment Analysis of COVID-19 Vaccine–Related Social Media Data: Comparative Study
Authors: Melton Chad A , White Brianna M , Davis Robert L , Bednarczyk Robert A , Shaban-Nejad Arash 
Published: September 2022

Background
The emergence of the novel coronavirus (COVID-19) and the necessary separation of populations have led to an unprecedented number of new social media users seeking information related to the pandemic. Currently, with an estimated 4.5 billion users worldwide, social media data offer an opportunity for near real-time analysis of large bodies of text related to disease outbreaks and vaccination. These analyses can be used by officials to develop appropriate public health messaging, digital interventions, educational materials, and policies.

Objective
Our study investigated and compared public sentiment related to COVID-19 vaccines expressed on 2 popular social media platforms—Reddit and Twitter—harvested from January 1, 2020, to March 1, 2022.

Methods
To accomplish this task, we created a fine-tuned DistilRoBERTa model to predict the sentiments of approximately 9.5 million tweets and 70 thousand Reddit comments. To fine-tune our model, our team manually labeled the sentiment of 3600 tweets and then augmented our data set through back-translation. Text sentiment for each social media platform was then classified with our fine-tuned model using Python programming language and the Hugging Face sentiment analysis pipeline.

Results
Our results determined that the average sentiment expressed on Twitter was more negative (5,215,830/9,518,270, 54.8%) than positive, and the sentiment expressed on Reddit was more positive (42,316/67,962, 62.3%) than negative. Although the average sentiment was found to vary between these social media platforms, both platforms displayed similar behavior related to the sentiment shared at key vaccine-related developments during the pandemic.

Conclusions
Considering this similar trend in shared sentiment demonstrated across social media platforms, Twitter and Reddit continue to be valuable data sources that public health officials can use to strengthen vaccine confidence and combat misinformation. As the spread of misinformation poses a range of psychological and psychosocial risks (anxiety and fear, etc), there is an urgency in understanding the public perspective and attitude toward shared falsities. Comprehensive educational delivery systems tailored to a population’s expressed sentiments that facilitate digital literacy, health information–seeking behavior, and precision health promotion could aid in clarifying such misinformation.