bluuebunny/crossref_metadata_2025_split huggingface dataset:
Microneedles loaded with cerium-manganese oxide nanoparticles for targeting macrophages in the treatment of rheumatoid arthritis
Authors: Xia Tian , Zhu Yuting , Li Kaiqiang , Hao Ke , Chai Yingqian , Jiang Hongyi , Lou Chao , Yu Jiachen , Yang Wei , Wang Jilong , Deng Junjie , Wang Zhen 
Published: October 2023

Abstract
Background
Rheumatoid arthritis (RA) is a prevalent inflammatory autoimmune disease characterised by persistent inflammation and joint damage with elevated levels of reactive oxygen species (ROS). Current treatment modalities for RA have significant limitations, including poor bioavailability, severe side effects, and inadequate targeting of inflamed joints. Herein, we synthesised cerium/manganese oxide nanoparticles (NPs) as efficient drug carriers with antioxidant and catalytic-like functions that can eliminate ROS to facilitate the polarization of macrophages phenotype from M1 to M2 and alleviate inflammation. Methotrexate (MTX), a first-line RA medication, was loaded into the NPs, which were further modified with bovine serum albumin (BSA) and integrated into dissolving hyaluronic acid-based microneedles (MNs) for transdermal delivery.
Result
This innovative approach significantly enhanced drug delivery efficiency, reduced RA inflammation, and successfully modulated macrophage polarization toward an anti-inflammatory phenotype.
Conclusion
This research not only presents a promising drug delivery strategy for RA but also contributes broadly to the field of immune disease treatment by offering an advanced approach for macrophage phenotypic reprogramming.
TAWC: Text Augmentation with Word Contributions for Imbalance Aspect-based Sentiment Classification
Authors: Santoso Noviyanti , Mendonça Israel , Aritsugi Masayoshi 
Published: October 2023

Abstract

Text augmentation plays an important role in enhancing the generalization performance of language models. However, traditional methods often overlook the unique roles that individual words play in conveying meaning in text and imbalance class distribution, thereby risking suboptimal performance and compromising the model's generalization ability. This limitation motivated us to create a novel technique, Text Augmentation with Word Contributions (TAWC). Our approach tackles this problem in two core steps: Firstly, it employs analytical correlation and semantic similarity metrics to discern the relationships between words and their associated aspect polarities; and secondly, it tailors distinct augmentation strategies to individual words, based on their identified functional contributions within the text. Extensive experiments on two aspect-based sentiment analysis datasets reveal that TAWC significantly improves the classification performance of popular language models, achieving gains of up to 4%, thereby setting a new standard in the field of text augmentation.
Expression and function assessment of a novel fibrinogen immuno-lectin from Hyalomma rufipes (Acari: Ixodidae)
Authors: Gao Zhihua , Zhao Yinan , Xu Xiaofeng , Zhang Songbo , Dong Kexin , Wang Yikui , Lv Wenxia , Yang Xiaolong 
Published: October 2023

Abstract
Lectin is a sugar-binding protein crucial for the innate immunity of ticks and acts as an important antibacterial peptide. When ticks are damaged externally, lectin can initiate a rapid defence mechanism. In this research, a novel immune lectin gene, Hr-lectin, was identified from Hyalomma rufipes. The gene has a size of 852 bp and a molecular weight of 31.509 KDa, encoding 283 amino acids. It is a C-type lectin with a signal peptide and has a theoretical isoelectric point of 6.23. The lectin gene Hr-lectin was analyzed by qPCR. The findings indicate that the expression of lectin was significantly greater in eggs compared to other stages. Similarly, the expression in the ovary was higher than that in other tissues, which was significantly different from other tissues. Additionally, rHr-lectin exhibited a degree of inhibition on Gram-positive bacteria, Gram-negative bacteria, and fungi. During the erythrocyte agglutination experiment, it was observed that rHr-lectin displayed varying agglutination effects on red blood cells. The outcomes of RNAi targeting Hr-lectin exhibited a significant rise in tick mortality rates and a decrease in the average weights of engorged adults and eggs. Regarding morphological characteristics, ticks displayed diminished body size and gray coloration following RNA interference. However, this treatment did not exert any significant influence on the form of the tick eggs.
Estimation of radiation heat loss from hydrogen-air jet diffusion flame
Authors: Parvatikar Shreesh , Kumar Pradeep 
Published: October 2023

Abstract
In the present work, the numerical study is performed to estimate the contribution of radiation in H2-air jet diffusion combustion by a non-gray radiation property model, i.e., full spectrum k-distribution method and a comparative study is performed with a very simplistic model of radiation property i.e.Plank mean method.
For the accurate radiation property modelling, the HITEMP-2010 database has been used to calculate the spectral absorption coefficients of H2O vapor for different thermodynamic states. Further, the random variation of spectral absorption coefficients has been reordered in smooth monotonically increasing function using the full spectrum k-distribution method (FSK). A look-up table is developed for different mole fractions and temperatures of H2O vapor. The calculation of absorption coefficients at thermodynamic states other than the look-up table has been performed using the four dimension interpolation technique. The results reveal that the FSK method further more reduces 90-100 K peak temperature compared to Planck mean method and show better agreement with the experimental results. There is significant loss of energy in the combustion flame by radiation mode of heat transfer. This reduction of energy (reduction in temperature) is distributed on the computational boundaries by mostly radiation mode of heat transfer. The maximum heat flux on the cylindrical and circular surface by the FSK method is found to be 2000 and 900 W/m2, respectively.
Prevalence of Low Birth Weight and Associated Factors among Neonates in Public Hospitals of Addis Ababa, Ethiopia in 2022.
Authors: Getaneh Chala , lambebo Abera , Mezemir Yordanos 
Published: October 2023

Abstract

Background:-The great majority of low-birth-weight births occur in low- and middle-income countries. Especially in the most vulnerable populations in sub-Saharan Africa including Ethiopia.
Objective:- study was aimed to assess low birth weight and factorsassociated with low birth weight among neonates in public hospitalsin Adiss Abeba.
Method:- Institution-based cross-sectional study design was conducted to assess the prevalence and associated factors of low birth weight among newborn babies in public hospitals in Addis Ababa, Ethiopia. The data was collected using an interviewer-administered structured questionnaire. The collected data was cleared and entered into EPI info version 7and .0 and then exported to spss version 20. bi variate and multivariate logistic regression analyses were employed to identify associated factors with low birth weight. After bivariate regression analysis, variables with a P value less than 0.2 were included in multivariable logistic regression. An unadjustedd ratio with 95% CI was calculated to see the association of vvavariablesth low birth weight at the sinsignificant value of P<0.05.
RESULT:-the study was conducted among 369 mothers who had a new born baby.And in this study, the prevalence of low birth weight was 15.2% at 95%CI=(11.7-18.7).And residing in rural area AOR=2.50(95%CI=(1.078-5.148),Birth interval <24 month AOR=2.531 95%CI=( 1.422-.4.507),Pregnancy complication AOR=13.53095 % CI =(6.080-30.105),ANC follow up (AOR = 5.14(95 % CI=(1.260-21.017)).gestational age AOR 7.446(95%+CI=(3.104-17.862),sex of the new born AOR=3.24(95%CI=(1.354-7.7561) were significantly associated factors.
CONCLUSION:- The prevalence of low birth weight in this study was 15.2%, and it is lower than the national prevalence, And residential are, Birth interval, pregnancy complications, ANC followup,gestational age and sex of neonates were significantly associated with low birth weight.
Identification of Risk Factors of Tumor Recurrence and Model Establishing for Patients with Intermediate and Higher Risk NMIBC Followed by Intravesical BCG Instillation After TmLRBT or TURBT
Authors: Sun Jian-Xuan , Zeng Na , Liu Chen-Qian , Xu Jin-Zhou , An Ye , Xu Meng-Yao , Zhang Si-Han , Zhong Xing-Yu , Ma Si-Yang , He Hao-Dong , Liu Zheng , Xia Qi Dong , Wang Shao-Gang 
Published: October 2023

Abstract
Purpose
The disease recurrence and progression bring great burden to patients with intermediate and higher risk non-muscle invasive bladder cancer (NMIBC). Intravesical bacille Calmette-Guérin (BCG) instillation is recommended as a preventive treatment of disease recurrence and progression for NMIBC patients after conventional transurethral resection of bladder tumors (TURBT) or thulium laser resection of bladder tumors (TmLRBT). In this study, we constructed a novel nomogram to predict postoperative tumor recurrence and progression for BCG-treated patients with intermediate and higher risk NMIBC after TURBT or TmLRBT.
Methods
Patients with intermediate, high and very high risk NMIBC that undergone TURBT or TmLRBT followed by BCG instillation were retrospectively collected from August, 2018 to December, 2019. Independent prognostic factors were determined by univariate logistic regression, multivariable logistic regression, the least absolute shrinkage and selection operator (LASSO) regression and multivariable cox regression. A nomogram was established to calculate the recurrence and progression probability of targeted patients. The predictive efficacy of this nomogram model was also evaluated.
Results
76 patients were included, among which 22 experienced tumor recurrence. The multivariable cox regression showed that previous bladder tumor history (HR = 4.07, 95% CI: 1.56 ~ 10.60, P = 0.004) and number of BCG immunotherapy (HR = 0.87, 95%CI: 0.82 ~ 0.93, P < 0.001) were two independent prognostic factors of bladder tumor recurrence. A nomogram model was established and proofed to have good predictive capacity.
Conclusion
Patients without previous bladder tumor history and having more intravesical BCG instillations are likely to have better RFS. The nomogram and the risk index which were constructed to predict the RFS and PFS of patients may help urologists choose appropriate disease management for patients.
Evaluation of the efficacy and safety of various non-steroidal anti-inflammatory drugs in postmenopausal women with an inflammatory phenotype of osteoarthritis
Authors: Shafieva I. A. , Bulgakova S. V. , Shafieva A. V. , Kurmayev D. P. 
Published: October 2023

Introduction. Non-steroidal anti-inflammatory drugs (NSAIDs) are currently the mainstay of the management for relieving pain syndrome in osteoarthritis (OA). NSAIDs are characterized by an individual reaction to medication, as well as a quite high frequency of gastrointestinal side effects. The issue of the disadvantages and advantages of a particular group of NSAIDs is still open.Aim. To evaluate the safety and efficacy of Meloxicam at a dose of 15 mg/day as compared with Nimesulide and placebo in postmenopausal women with an inflammatory phenotype of OA.Results and discussion. The frequency of all adverse events was comparable among the group of patients receiving meloxicam (40.0%), and lower than in the nimesulide group (48.0%), but higher than in the placebo group. A decrease in pain syndrome was observed as early as at 2 weeks of treatment in the group of patients receiving meloxicam. A significant decrease in WOMAC scores (overall result, pain syndrome, stiffness, function) was observed in the group of patients receiving meloxicam, and in the group of patients receiving nimesulide, after 3 weeks of treatment. meloxicam and nimesulide demonstrated high efficacy at 3 weeks compared with the initial VAS scores. The placebo group showed no efficacy.Conclusion. The frequency of all adverse events was lower while taking meloxicam as compared to nimesulide. Our results substantiate the concept to prescribe meloxicam at a dose 15 mg once daily for the treatment of pain and stiffness in post-menopausal women with OA.
Deep machine learning applied to support clinical decision-making in the treatment of infertility using assisted reproductive technologies
Authors: Drapkina Ju. S. , Makarova N. Р. , Tataurova P. D. , Kalinina E. A. 
Published: October 2023

Introduction. Machine learning (ML) applied to data analysis allows to more accurately and targetedly determine the most significant correctable and non-correctable predictors of onset of pregnancy in assisted reproductive technology (ART) programs in patients of different age groups. Analysis of data using various techniques and comparison of results obtained via two models will determine the most significant factors for onset of pregnancy in the ART program.Aim. To determine the most significant clinical and embryological predictors of onset of pregnancy using standard regression analysis and a decision tree algorithm to predict pregnancy in the ART program.Materials and methods. A total of 1,021 married couples were included in the retrospective study. The study analysed clinical and laboratory test findings and stimulated cycle parameters depending on the effectiveness of the ART program. A regression analysis was carried out and a decision tree algorithm was built using the Gini criterion to determine the most significant factors.Results. We identified “general” signs that require further validation on other models, including ML: the presence/absence of a history of pregnancies, stimulated cycle parameters (oocyte cumulus complex, number of metaphase II (MII) oocytes, number of zygotes), spermogram indicators on the day of puncture, number of high and good quality embryos, as well as the embryo grading.Conclusion. rFSH (follitropin-alpha, Gonal-f) gives a significant result in two of the five available age groups, follitropin-beta, corifollitropin alfa – in one of the five groups only. Building a model that includes not only the couple’s medical history data, but also molecular markers using machine learning methods will not only allow us to most accurately determine the most promising groups of patients for in vitro fertilization (IVF) programs, but also increase the efficiency of ART programs by selecting the highest quality embryo to be transferred.
Flavonoid-metal ion Complexes as Potent Anticancer Metallodrugs: A Comprehensive Review
Authors: Zangade Sainath B. , Dhulshette Bashweshawar S. , Patil Pravinkumar B. 
Published: October 2023

Background:Flavonoids and their analogous are mainly found in pink lady apples, green and black tea (catechins), celery and red peppers, onions, broccoli and spinach, berries, cherries, soybean, citrus fruits, and fungi. The different derivatives of flavonoids belonging to polyphenolic compounds such as 3,4′,5,7-Tetrahydroxyflavylium (pelargonidin), 2-(3,4-Dihydroxyphenyl)chromenylium-3,5,7-triol (cyanidin), 3,3′,4′,5,5′,7-Hexahydroxyflavylium (delphinidin), 3,3′,4′,5,7-Pentahydroxy-5′-methoxyflavylium (petunidin), and 3,4′,5,7-Tetrahydroxy-3′,5′-dimethoxyflavylium (malvidin) can act as good chelating agents for metal-chelate complex formation. These flavonoid-metal complexes have been reported to have various biomedical and pharmacological activities.Objective:Flavonoid-metal ion complexes display a broad spectrum of biological properties such as antioxidant, anti-inflammatory, anti-allergic, antiviral, anticarcinogenic, and cytotoxic activity. The literature survey showed that flavonoid metal complexes have potential therapeutic properties against various cancerous cells. The objective is to gain insight into the current perspective and development of novel anticancer metallodrugs.Methods:The flavonoid-metal ion complexes can be prepared by reacting flavonoid ligand with appropriate metal salt in aqueous or alcoholic reaction medium under stirring or refluxing conditions. In this review article, the various reported methods for the synthesis of flavonoid-metal complexes have been included. The utility of synthetic methods for flavonoid-metal complexes will support the discovery of novel therapeutic drugs.Results:In this review study, short libraries of flavonoid-metal ion complexes were studied as potential anticancer agents against various human cancer cell lines. The review report reveals that metal ions such as Fe, Co, Ni, Cu, Zn, Rh, Ru, Ga, Ba, Sn etc., when binding to flavonoid ligands, enhance the anticancer activity compared to free ligands. This review study covered some important literature surveys for the last two decades.Conclusion:It has been concluded that flavonoid metal complexes have been associated with a wide range of biological properties that could be noteworthy in the medicinal field. Therefore, to develop a new anticancer drug, it is essential to determine the primordial interaction of drug with DNA under physiological or anatomical conditions. The study of numerous flavonoid metal complexes mentioned in this paper could be the future treatment against various cancerous diseases.
Quantitative Structure Activity/Toxicity Relationship through Neural
Networks for Drug Discovery or Regulatory Use
Authors: Novič Marjana 
Published: October 2023

Abstract:
Quantitative structure - activity relationship (QSAR) modelling is widely used in
medicinal chemistry and regulatory decision making. The large amounts of data collected in recent
years in materials and life sciences projects provide a solid foundation for data-driven modelling
approaches that have fostered the development of machine learning and artificial intelligence
tools. An overview and discussion of the principles of QSAR modelling focus on the assembly
and curation of data, computation of molecular descriptor, optimization, validation, and definition
of the scope of the developed QSAR models. In this review, some examples of (Q)SAR models
based on artificial neural networks are given to demonstrate the effectiveness of nonlinear
methods for extracting information from large data sets to classify new chemicals and predict their
biological properties.
3D-QSAR and Molecular Docking Studies of Pyrimidine-based EGFR Inhibitors
Authors: Gao Hui , Liu Hong , Hou Jingxuan , Gu Qingshan , Shi Meiqi , Wu Qingkun , Zheng Lu 
Published: October 2023

Background:
Epidermal growth factor tyrosine kinase receptor (EGFR) is expressed in a
variety of tumors and has become a new target for anti-cancer drugs. In recent years, small molecule
inhibitors targeting EGFR have been reported extensively.

Objective:
To investigate the quantitative structure-activity relationship (QSAR) of a set of EGFR
inhibitors and design several new EGFR inhibitors with better efficiency and selectivity.

Methods:
The structure–activity relationship of 119 pyrimidine EGFR inhibitors were studied based
on comparative field analysis (CoMFA) and comparative molecular similarity indices analysis
(CoMISA).

Results:
In this study, performance models with high prediction ability were constructed (CoMFA
model: q2= 0.574, r2= 0.970, SEE= 0.163, F= 407.252; CoMSIA model: q2= 0.575, r2= 0.968, SEE=
0.171, F= 286.102), according to which 9 new EGFR inhibitors were designed. MD simulation (100
ns) on the docked complex of compound N7 (the most active compound) shows that the small molecule
bindswith the protein stably.

Conclusion:
The newly designed compound N7 was considered to be a promising EGFR inhibitor
with better activity than the best active compound 80, according to the results of molecular docking,
molecular dynamics, and ADMET prediction. These results will provide valuable guidance for the
design of novel EGFR inhibitors.
Bilateral Avascular Necrosis of the Femoral Heads After COVID-19
Infection without Steroid Treatment
Authors: Elbialy Adel , Megahed Mona Mokhtar Elmetwally , Ibrahim Amira Shahin , Elmesiry Aml Mohamed , Mohamed Maha Salah Eldin , Ghit Mohamed Magdy , Gazar Yasser Abdel Motaleb , Elazab Seham Abdallah 
Published: October 2023

Background:
Avascular necrosis (AVN) is a potentially serious multifactorial disease.
In COVID-19 patients, AVN of many bones has been reported. Usually, the condition is linked to
steroid therapy. In this case report, we describe our experience with bilateral AVN of femoral
heads in an elderly patient months after being cured of COVID-19 infection without the use of
steroids.

Case Presentation:
A 68-year-old male was referred to the outpatient clinic of the rheumatology
and rehabilitation department for progressive bilateral hip pain starting on the left side 5 months
ago. An extensive review of the patient’s medical history identified documented COVID-19 infection
that required hospitalization 9 months before presentation. Multiplanar MRI with fat suppression
of both hips showed ill-defined areas of abnormal signal intensity affecting the left femoral
head, neck and intertrochanteric regions with associated subchondral fissuring and mild joint effusion.
A similar smaller area was also seen affecting the postero-superior aspect of the right femoral
head.

Conclusion:
AVN in COVID-19 patients can be encountered even in the absence of steroid therapy.
Topical Anti-ulcerogenic Effect of the Beta-adrenergic Blockers on Diabetic Foot Ulcers: Recent Advances and Future Prospectives
Authors: Singh Prateek , Sharma Shweta , Sharma Pramod Kumar , Alam Aftab 
Published: October 2023

Background:Patients with diabetes suffer from major complications like Diabetic Retinopathy, Diabetic Coronary Artery Disease, and Diabetic Foot ulcers (DFUs). Diabetes complications are a group of ailments whose recovery time is especially delayed, irrespective of the underlying reason. The longer duration of wound healing enhances the probability of problems like sepsis and amputation. The delayed healing makes it more critical for research focus. By understanding the molecular pathogenesis of diabetic wounds, it is quite easy to target the molecules involved in the healing of wounds. Recent research on beta-adrenergic blocking drugs has revealed that these classes of drugs possess therapeutic potential in the healing of DFUs. However, because the order of events in defective healing is adequately defined, it is possible to recognize moieties that are currently in the market that are recognized to aim at one or several identified molecular processes.Objective:The aim of this study was to explore some molecules with different therapeutic categories that have demonstrated favorable effects in improving diabetic wound healing, also called the repurposing of drugs.Method:Various databases like PubMed/Medline, Google Scholar and Web of Science (WoS) of all English language articles were searched, and relevant information was collected regarding the role of beta-adrenergic blockers in diabetic wounds or diabetic foot ulcers (DFUs) using the relevant keywords for the literature review.Result:The potential beta-blocking agents and their mechanism of action in diabetic foot ulcers were studied, and it was found that these drugs have a profound effect on diabetic foot ulcer healing as per reported literatures.Conclusion:There is a need to move forward from preclinical studies to clinical studies to analyze clinical findings to determine the effectiveness and safety of some beta-antagonists in diabetic foot ulcer treatment.