bluuebunny/crossref_metadata_2025_split huggingface dataset:
Fractional Exhalation Nitric Oxide (FeNO) Changes in Cystic Fibrosis Patients Induced by Compound honey Syrup
Authors: Sadr Saeed , Tahermohammadi Hanieh , Kaveh Shahpar , Khanbabaee Ghamartaj , Tabatabaei Seyed Ahmad , Choopani Rasool , Rouzbahani Arian Karimi , Derikvandi Shima 
Published: May 2023

Abstract
Objective: To evaluate the effect of Persian medicine Syrup ‘compound honey syrup (CHS)’ on Fractional exhalation Nitric Oxide (FeNO) changes in patients with Cystic Fibrosis (CF).
Study design: We conducted a before-after clinical trial on 70 CF patients. All patients received classical treatments for CF along with CHS (including honey, Ginger, cinnamon, saffron, cardamom and galangal), 5-10 cc (depending on the age and weight of patients) in 100 cc of warm boiled water twice a day, 30 minutes after meals. In this clinical trial, before and 12 weeks after the start of the CHS, FeNO test was evaluated.
Results: From 70 patients were enrolled, 44 patients completed this 12-week course of treatment. At the end of the study, changes in FeNO was significantly different before and after treatment (P-value < 0.05). At the end of the study, no dangerous side effects of CHS were observed.
Conclusions: This study revealed that CHS can be effective as a complementary and safe drug in the medication of CF patients.
Analytical Method Development and Validation of Terbinafine Hydrochloride and Ketoconazole in Bulk and Dosage Form.
Authors: Gund Apurva , Datar Prasanna 
Published: May 2023

Abstract
For the simultaneous quantification of Terbinafine hydrochloride and Ketoconazole in bulk and tablet dosage form, an RP-HPLC technique has been optimized and validated. The allylamine in the Terbinafine hydrochloride and imidazole in Ketoconazole act as its active constituent and inhibit the ergosterol synthesis which stops the growth of fungal cell. The chromatographic separation was performed on Thermo fisher scientific HPLC having PDA detector by using BDS Hypersil C18 (4.6 X 250mm i.d.) 5µm particle column. Mobile phase comprises of Solution A- 20% of triethylamine buffer in water (pH 6.8 ± 0.05) + 80% of Acetonitrile and methanol (40:60 v/v) and Solution B- Methanol and Acetonitrile (60:40). The proportion of A: B was 50:50 v/v. The pump flow rate was set to be 1.5 ml/min and injection volume was 20 µl. Detection was done using 247nm as the UV wavelength. The technique conformed with all validation requirements as specified by ICH Q2 R1 guidelines and method was found to be linear for Terbinafine hydrochloride and Ketoconazole with correlation coefficient of 0.9998 and 0.9996, respectively. The linearity range for Terbinafine HCl was between 3.13-25 ppm and that for ketoconazole was 1.25-10 ppm. The method was found to be precise, accurate & robust with percent RSD of not more than 2%. So, the suggested method can be used to analyse drug samples on a regular basis.
Single-nucleus RNA sequencing reveals that macrophages and smooth muscle cells promote carotid atherosclerosis progression through mitochondrial autophagy
Authors: Song Yamin , Zhang Qiang , Ban Ru , Zhao Xin , Sun Hao , Lin Jie , Guo Tingting , Wang Tao , Xia Kai , Xin Zhenxue , Zhang Guifeng , Jia Xiaodong , Xia Zhangyong 
Published: May 2023

Abstract
Objects
Carotid atherosclerotic plaques are the manifestation of atherosclerosis in the carotid arteries and can significantly increase the incidence of cerebrovascular disease. Macrophages and smooth muscle cells are crucial for their development. Our research aimed to reveal the mechanism of carotid atherosclerotic plaque formation.
Methods
The collected carotid plaques were processed to extract RNA and create a DNA library. After completing these steps, Single-nucleus RNA Sequencing analysis was performed using R language to analyze cell subpopulations. KEGG pathway, cellular communication, and the proposed time-series analysis were performed for differential genes.
Results
we performed single-cell nuclear sequencing of the carotid plaque tissue and identified 11 cell types, and the macrophages were divided into five different macrophage subpopulations. The macrophages and smooth muscle cells in the patients with symptomatic carotid atherosclerotic plaques caused intraplaque cell death via the mitochondrial autophagic pathway, resulting in plaque instability and rupture, which in turn led to clinical cardiovascular and cerebrovascular events.
Conclusions
The findings provide new insights into carotid atherosclerosis formation, and this may provide new directions for the prevention and treatment of carotid atherosclerosis.
Genital identification and food plants of bumble bee species in four agro-climatic zones of Himachal Pradesh, India
Authors: Negi Neha , rana kiran , chauhan Ojas , singh Sawraj jit , Bhatia Simran 
Published: May 2023

Abstract
The goal of the current investigation was to learn more about the diversity and status of bumble bee species as well as their sources of food in various regions of Himachal Pradesh. In four agro-climatic zones (Zone-I (Upto 914 m amsl) sub-mountain low hills zone, Zone-II (915–1523 m amsl) mid-hills high humid zone, Zone-III (1524–2472 m amsl) high hills temperate wet zone and Zone-IV (> 2472 m amsl) high hills temperate dry zone) of Himachal Pradesh, India, extensive research on bumble bees and their food sources was done. Taxonomic studies were conducted to identify different bumble bee species. Seven species of bumble bees viz. Bombus haemorrhoidalis, B. tunicatus, B. rufofasciatus, B. miniatus, B. melanurus, B. hypnorum and B. albopleuralis were identified along with their host plants. It is possible to use bumble bees to pollinate commercial crops. Climate change or changes in farming practises may pose an extinction threat to locally endemic species in the future. Thus, the research on bee conservation biology has been inspired by the rising issue of pollination.
Preoperative prediction of cervical cancer survival using a high-resolution MRI-based radiomics nomogram
Authors: Li Jia , Zhou Hao , Lu Xiaofei , Wang Yiren , Pang Haowen , Cesar Daniel , Liu Aiai , Zhou Ping 
Published: May 2023

Abstract

Background Cervical cancer patients receiving radiotherapy and chemotherapy require accurate survival prediction methods. The objective of this study was to develop a prognostic analysis model based on a radiomics score to predict overall survival (OS) in cervical cancer patients. Methods Predictive models were developed using data from 62 cervical cancer patients who underwent radical hysterectomy between June 2020 and June 2021. Radiological features were extracted from T2-weighted (T2W), T1-weighted (T1W), and diffusion-weighted (DW) magnetic resonance images prior to treatment. We obtained the radiomics score (rad-score) using least absolute shrinkage and selection operator (LASSO) regression and Cox’s proportional hazard model. We divided the patients into low- and high-risk groups according to the critical rad-score value, and generated a nomogram incorporating radiological features. We evaluated the model’s prediction performance using area under the receiver operating characteristic (ROC) curve (AUC) and classified the participants into high- and low-risk groups based on radiological characteristics. Results The 62 patients were divided into high-risk (n = 43) and low-risk (n = 19) groups based on the rad-score. Four feature parameters were selected via dimensionality reduction, and the scores were calculated after modeling. The AUC values of ROC curves for prediction of 3- and 5-year OS using the model were 0.84 and 0.93, respectively. Conclusion Our nomogram incorporating a combination of radiological features demonstrated good performance in predicting cervical cancer OS. This study highlights the potential of radiomics analysis in improving survival prediction for cervical cancer patients. However, further studies on a larger scale and external validation cohorts are necessary to validate its potential clinical utility.
A Mathematical Model for Simulating Photoacoustic Signal Generation Process in Biological Tissues
Authors: GadAllah Mohammed Tarek , Mohamed Abd El-Naser A. , Hefnawy Alaa , Zidan Hassan , El-Banby Ghada , Badawy Samir Mohamed 
Published: May 2023

Abstract

Background: Biomedical photoacoustic imaging (PAI) is a hybrid imaging modality based on the laser-generated ultrasound waves due to the photoacoustic (PA) effect physical phenomenon that has been reported firstly by A. G. Bell in 1880. Numerical modeling-based simulation for the PA signal generation process in biological tissues helps researchers for decreasing error trials in-vitro and hence decreasing error rates for in-vivo experiments. Numerical modeling methods help in obtaining a rapid modeling procedure comparable to pure mathematics. However, if a proper simplified mathematical model can be founded before applying numerical modeling techniques, it will be a great advantage for the overall numerical model. Most scientific theories, equations, and assumptions, been proposed to mathematically model the complete PA signal generation and propagation process in biological tissues, are so complicated. Hence, the researchers, especially the beginners, will find a hard difficulty to explore and obtain a proper simplified mathematical model describing the process. That’s why this paper is introduced.
Methods: In this paper we have tried to simplify understanding for the biomedical PA wave’s generation and propagation process, deducing a simplified mathematical model for the whole process. The proposed deduced model is based on three steps: a- pulsed laser irradiance, b- diffusion of light through biological tissue, and c- acoustic pressure wave generation and propagation from the target tissue to the ultrasound transducer surface. COMSOL Multiphysics, which is founded due to the finite element method (FEM) numerical modeling principle, has been utilized to validate the proposed deduced mathematical model on a simulated biological tissue including a tumor inside.
Results and Conclusion: The time-dependent study been applied by COMSOL has assured that the proposed deduced mathematical model may be considered as a simplified, easy, and fast startup base for scientific researchers to numerically model and simulate biomedical PA signals’ generation and propagation process utilizing any proper software like COMSOL.
Tuning Parameters for Polygenic Risk Score Methods Using GWAS Summary Statistics from Training Data
Authors: Jiang Wei , Chen Ling , Girgenti Matthew , Zhao Hongyu 
Published: May 2023

Abstract
Predicting genetic risks for common diseases may improve their prevention and early treatment. In recent years, various additive-model-based polygenic risk scores (PRS) methods have been proposed to combine the estimated effects of single nucleotide polymorphisms (SNPs) using data collected from genome-wide association studies (GWAS). Some of these methods require access to another external individual-level GWAS dataset to tune the hyperparameters, which can be difficult because of privacy and security-related concerns. Additionally, leaving out partial data for hyperparameter tuning can reduce the predictive accuracy of the constructed PRS model.
In this article, we propose a novel method, called PRStuning, to automatically tune hyperparameters for different PRS methods using only GWAS summary statistics from the training data. The core idea is to first predict the performance of the PRS method with different parameter values, and then select the parameters with the best prediction performance. Because directly using the effects observed from the training data tends to overestimate the performance in the testing data (a phenomenon known as overfitting), we adopt an empirical Bayes approach to shrinking the predicted performance in accordance with the estimated genetic architecture of the disease. Results from extensive simulations and real data applications demonstrate that PRStuning can accurately predict the PRS performance across PRS methods and parameters, and it can help select the best-performing parameters.
Decentralized Dynamic System for Optimal Power Dispatch in Wind Farms Based on Node-Dependence Nature
Authors: Huang Sheng , Wei Juan , Wei Chao , Wu Qiuwei , Zhang Wei , Qu Yinpeng , Peng Hanzhi 
Published: May 2023

Abstract

Meeting the power demand from transmission system operator (TSO) is an important objective for power dispatch, which introduces a power supply-demand constraint coupling all the wind turbines (WTs) among the wind farm (WF) into the optimization problem. Traditional methods, such as centralized or distributed optimal methods, can effectively handle global constraints from the TSO. However, these methods are unsuitable for real-time applications because of the high computational and communication requirements. In recent years, decentralized optimal control has emerged as a promising solution for WF control, but solving the coupling constraints is still challenging because of the lack of information sharing between local controllers. To this end, this study designed a completely decentralized dynamic system for WFs to optimize power dispatch while satisfying the TSO's power dispatch requirements. A voltage optimization problem with supply-demand constraints was decoupled based on node-dependence nature, an inherent characteristic of WFs that can be expressed using power sensitivities. The local optimization problem was solved iteratively using the gradient projection method, and the system converged linearly to the equilibrium point. Case studies in MATLAB/Simulink demonstrate that the proposed method can achieve near-global optimal performance only using local measurements.
Efficacy and safety of venetoclax combined with hypomethylating agents for relapse of acute myeloid leukemia and myelodysplastic syndrome post-transplantation: a systematic review and meta-analysis
Authors: Du Yufeng , Li Chunhong , Zhang Chengtao , Zhao Zhijia , Liu Yikun , Yan Jinsong 
Published: May 2023

Abstract
Background
Currently, there is no standard treatment for managing relapse after allogeneic hematopoietic cell transplantation in patients with acute myeloid leukemia and myelodysplastic syndrome (AML/MDS). Venetoclax (Ven)-based therapies have been increasingly used for treating post-transplant relapse. The aim of this systematic review and meta-analysis was to evaluate the efficacy and adverse events of Ven combined with hypomethylating agents (HMAs) for AML/MDS relapse post-transplantation.
Methods
We searched PubMed, Web of Science, Excerpta Medica Database, Cochrane Library, and Clinical. gov for eligible studies from the inception to February 2022. The Methodological Index for Non-Randomized Studies was used to evaluate the quality of the included literature. The inverse variance method calculated the pooled proportion and 95% confidence interval (CI).
Results
This meta-analysis included 9 studies involving a total of 202 patients. The pooled complete response and complete response with incomplete blood count recovery rate of Ven combined with HMAs for post-transplant relapse in AML/MDS was 32% (95% CI, 25%-40%, I2 = 0%), with an overall response rate of 50% (95% CI, 40%-59%, I2 = 38%). The 6-month survival rate was 43% (95% CI, 28%-59%, I2 = 68%) and the 1-year survival rate was 27% (95% CI, 13%-42%, I2 = 72%).
Conclusion
This study demonstrated a moderate benefit of Ven in combination with HMAs for AML/MDS patients with relapsed post-transplantation (including those who have received prior HMAs therapy), and may become one of the treatment options in the future. Large-scale prospective studies are needed to confirm this study in future.
Genetic Factors Associated with Suicidal Behaviors and Alcohol Use Disorders in an American Indian Population
Authors: Peng Qian , Gilder David , Bernert Rebecca , Karriker-Jaffe Katherine , Ehlers Cindy 
Published: May 2023

Abstract
American Indians (AI) demonstrate the highest rates of both suicidal behaviors (SB) and alcohol use disorders (AUD) among all ethnic groups in the US. Rates of suicide and AUD vary substantially between tribal groups and across different geographical regions, underscoring a need to delineate more specific risk and resilience factors. Using data from over 740 AI living within eight contiguous reservations, we assessed genetic risk factors for SB by investigating: (1) possible genetic overlap with AUD, and (2) impacts of rare and low frequency genomic variants. Suicidal behaviors included lifetime history of suicidal thoughts and acts, including verified suicide deaths, scored using a ranking variable for the SB phenotype (range 0–4). We identified five loci significantly associated with SB and AUD, two of which are intergenic and three intronic on genes AACSP1, ANK1, and FBXO11. Nonsynonymous rare mutations in four genes including SERPINF1 (PEDF), ZNF30, CD34, and SLC5A9, and non-intronic rare mutations in genes OPRD1, HSD17B3 and one lincRNA were significantly associated with SB. One identified pathway related to hypoxia-inducible factor (HIF) regulation, whose 83 nonsynonymous rare variants on 10 genes were significantly linked to SB as well. Four additional genes, and two pathways related to vasopressin-regulated water metabolism and cellular hexose transport, also were strongly associated with SB. This study represents the first investigation of genetic factors for SB in an American Indian population that has high risk for suicide. Our study suggests that bivariate association analysis between comorbid disorders can increase statistical power; and rare variant analysis in a high-risk population enabled by whole-genome sequencing has the potential to identify novel genetic factors. Although such findings may be population specific, rare functional mutations relating to PEDF and HIF regulation align with past reports and suggest a biological mechanism for suicide risk and a potential therapeutic target for intervention.
“We literally worked in parking lots, cars, garages, and separately set up party tents.” Qualitative study on the experiences of GPs in the frame of the SARS-CoV-2 pandemic in Austria
Authors: Rabady Susanne , Mayrhofer Mira , Szabo Nathalie , Erber Patrick , Hoffmann Kathryn 
Published: May 2023

Abstract
Background:
Primary care is internationally recognised as one of the cornerstones of health care. During the COVID-19 pandemic, primary care physicians were assigned a variety of tasks and thus made a significant contribution to a country's pandemic response. They were expected to perform a variety of tasks, such as diagnosing and treating people with COVID-19, maintaining health care for all other patients, as well as several public health tasks, such as diagnostic testing and vaccination, protecting patients and staff from infection, and serving as community trusted persons. In Austria, there are no structured levels of care, no definition of the role of the general practitioner during a pandemic is given, and no specific support structures are present. The aim of this study was to assess the views and experiences of primary care physicians regarding supportive and hindering factors for pandemic preparedness in Austria.
Methods:
Qualitative study using semi-structured interviews. A total of 30 general practitioners were interviewed, with particular attention to an equitable distribution in small, medium and large primary care facilities. Qualitative content analysis was performed.
Results:
Interviewees described a wide range of infection control, organisational and communication measures that they had implemented. They made changes to practise equipment, found makeshift solutions when supplies were scarce, and established communication and information pathways when official communication lines were inadequate.
Conclusion:
General practitioners took on essential tasks and showed a high level of understanding of their role in the pandemic response. This was achieved mainly at an informal level and with high personal commitment. Their functioning in the absence of structural regulations and support shows that they had a clear intrinsic understanding of their responsibilities. To ensure reliability and sustainability and to reduce their burden, it will be necessary to clarify the role and tasks of a general practitioner and to provide the necessary support. This concerns both infrastructural support and communication and information strategies. As part of the reform to strengthen primary care, primary care needs to be seen, valued and involved in decision-making processes.
Cursoriality Scores of Triassic Ornithodirans
Authors: Meyer Gabriel 
Published: May 2023

Abstract
The phylogenetic placement of many Triassic Ornithodirans is convoluted and in need of more data for the best possible placement. Lagerpeptidae and Silesauridae are both under consideration for placement differing than their traditional setting in Dinosauromorpha. The cursoriality of many of these animals has never been assessed, and it could prove useful for further research. Measurements were taken for seventeen taxa from the literature and three types of cursoriality scores were constructed: tibial, third metatarsal, and lower leg length and then analyzed for significance. The scores add to the growing body of evidence placing Lagerpeptidae into Pterosauromorpha but fall short of any clear evidence regarding Silesauridae.
Genome-wide identification of the histone acetyltransferase gene family in Citrus clementina and its potential roles in citrate metabolism
Authors: Lin Xia-hui , Shi Yan-na , Liu Sheng-chao , Liu Xin-cheng , Li Shaojia , Chen Kun-song 
Published: May 2023

Abstract
Histone acetyltransferase (HAT) catalyzes histone acetylation and is involved in plant growth and development and stress responses. Here, 37 CitHAT genes were identified in Citrus clementina. Their physicochemical properties, chromosomal location, gene structure, conserved domain and motif, and cis-acting elements were characterized. CitHATs were classified into four subfamilies, HAG (32), HAC (2), HAF (2), and HAM (1), based on protein sequence homology, which was strongly supported by gene structure, conserved domain, and motif analysis. The cis-acting elements in gene promoter regions were predicted to be associated with the regulation of plant growth, stress resistance, and response to hormones. We further treated citrus callus with HAT inhibitor, the result showed that HAT inhibitor treatment effectively increased the citric acid content in citrus callus, and the transcript levels of several citric acid metabolism genes were inhibited, which means that CitHAT may regulate citric acid metabolism through these genes. Our study associates the potential function of histone acetyltransferases in citrate metabolism and extends the molecular mechanism of citrate metabolism in fruits.