bluuebunny/crossref_metadata_2025_split huggingface dataset:
Loss of HDAC5 Accelerates Joint Destruction and Aging During Osteoarthritis
Authors: Lu Yanqing , Zhang Pei-Pei , Wang Chuandong , Shan Shengzhou , Li Yang , Ni Bin-Bin , Wang Cheng-Long 
Published: August 2023

Abstract
Objectives. Osteoarthritis (OA) lacks effective treatment strategies due to complex pathological mechanisms. In this study, we explored the regulatory role of histone deacetylases 5 (HDAC5) in OA pathogenesis.
Methods. The expression of HDAC5 was detected in the cartilage of humans and mice. Spontaneous OA and experimental OA were performed in wild-type (WT) mice and HDAC5 knockout (KO, HDAC5−/−) mice for pathological and immunohistochemical examination. WT and KO mouse chondrocytes were detected by liquid chromatography–mass spectrometry. Metformin (205 mg/kg/day, 4 weeks) was given to identify the modulatory role of HDAC5 in OA pathogenesis.
Results. The expression of HDAC5 was significantly decreased in the cartilage of patients with late-stage OA and of mice subjected to destabilization of the medial meniscus (DMM) surgery. HDAC5 KO accelerated articular cartilage degeneration and chondrosenescence, with increasing expression of matrix metalloproteinases, type X collagen (COL10A1), and p16ink4a. Moreover, S100 calcium-binding protein A13 (S100A13) was found, and the expression level of S100A13 was upregulated accompanied by decreasing of HDAC5 in OA chondrocytes. In addition, metformin activated HDAC5 and inhibited the S100A13 in OA chondrocytes to abolish OA.
Conclusions. Our findings provide comprehensive evidence of the role and therapeutic potential of HDAC5 in OA.
Involvement of Level III axillary lymph nodes in node-positive breast cancer: a retrospective single-institution study
Authors: Murthy Giridhar Chidananda , Babu Preethitha 
Published: August 2023

Abstract
Purpose: Axillary dissection provides prognostic information and regional control and possibly improves overall survival. The usefulness of level III lymph node dissection is less well studied. The study aims to identify the rate of level III nodal positivity and factors that can predict its involvement.
Methods: A retrospective analysis of 190 breast cancer patients (cT1-3, N0-1, M0) who underwent surgery(Modified radical mastectomy or Breast conservation surgery) between May 2017 and December 2020 at a tertiary care centre was done. Clinical and pathological details were obtained from the electronic medical record.
Results: The rate of level III nodal positivity in patients with pathologically positive level I/II lymph nodes was 23.15% (n=22). Skip metastasis in level III without involvement in levels I and II was 0.52%(n=1). There was a significant correlation between involvement of level I/II lymph nodes(p=<0.001), lymphovascular invasion(p=0.001), pathological tumour size(p=0.015), extranodal extension in level 1/2 lymph nodes (p<0.00001) and level III lymph node metastases.
Conclusion: Level III lymph node dissection should be performed in all patients with metastases in level I/II axillary lymph nodes.
Integration of activity-based risk factors in PERT scheduling: case study of Indian metro tunnel projects
Authors: Shelake Abhaysinha. G. , Gogate NIvedita G. , Soundankar Hrishikesh S. 
Published: August 2023

Abstract
In construction sector, tunneling is a costly and risky affair. The time and cost involved in tunnel construction is very high. Hence, it is necessary to use more comprehensive method like Program Evaluation Review Technique (PERT) while preparing schedule of tunnel construction projects. As PERT considers three different time durations, the reliability of the schedule prepared at planning stage of the project gets enhanced significantly. However, the schedule preparation of tunneling projects still relies mainly on the optimistic time. In this work the author attempts to prepare a PERT schedule for metro tunnel projects by integrating activity-wise risk factors. Initially, the critical risk factors are taken from previous literature and further these are mapped with tunnel construction activities. The list of construction activities along with optimistic schedule and respective activity-wise risk factor list is then supplied to tunnel experts for capturing their opinion on pessimistic and most likely time values. Finally, a comparative analysis is carried out by estimating project cost and developing a relation between the different times and costs associated with metro tunnel projects. The intent of this paper is to integrate the activity-wise risk factors in project scheduling to reduce delays and subsequent cost escalations. Integrating risk factors into PERT scheduling will improve risk management, enhance decision-making and enable realistic project planning. This will significantly improve project success rate. By considering risks in the scheduling process, project managers can effectively manage uncertainties and minimize their impact on project outcomes.
A nomogram to predict stoma creation in elective surgical resection for penetrating Crohn's disease
Authors: sun zhenya , Cao Lei , Guo Zhen , Zhou Yan , Zhu Weiming , Li Yi 
Published: August 2023

Abstract

Purpose The decision to perform a stoma during surgical resection of penetrating Crohn's disease (CD) is a critical consideration. The objective of this study was to identify factors that influence stoma creation and develop a predictive nomogram model to assist surgeons in making optimal surgical decisions.Methods A retrospective study was conducted at a tertiary center from December 1, 2012, to December 1, 2021, involving consecutive patients with penetrating CD who underwent elective surgical resection. The LASSO regression method was used to select preoperative predictors, and a nomogram was constructed using multivariate logistic regression. The performance of the nomogram was validated in an internal cohort by assessing its discrimination, calibration, and clinical usefulness.Results The study included 405 cases in the training group and 135 cases in the validation group. Nine risk factors for stoma formation were identified, including disease location, fistula resulted from previous anastomosis, absence of preoperative exclusive enteral nutrition support, albumin levels below 35 g/L, C-reactive protein levels above 10 mg/L, hemoglobin levels below 100 g/L, perianal disease, internal fistula, and surgical approach. These risk factors were selected using the LASSO regression method, and a nomogram was developed based on them. The area under the curve and the coefficient of determination (R2) of the nomogram were 0.821 and 0.394, respectively. And the nomogram demonstrated good performance in the validation cohort.Conclusions The nomogram exhibited good predictive ability for stoma formation during elective surgical resection for penetrating CD, which can assist surgeons in making informed clinical decisions.
Pre-training a Foundation Model for Universal Fluorescence Microscopy Image Restoration
Authors: Yan Bo , Ma Chenxi , Tan Weimin 
Published: August 2023

Abstract
Fluorescence microscopy image restoration (FMIR) has received wide attention in the life science field and led to significant progress, benefiting from the deep learning (DL) technology. However, most of the current DL-based FMIR methods need to train a task-specific deep model from scratch on a specific dataset for each FMIR problem, such as super-resolution (SR), denoising, isotropic reconstruction, projection, volume reconstruction, etc. The performance and practicability of these FMIR models are limited due to the troublesome training, the difficulty in obtaining high-quality training images, and the limited generalization ability. Nowadays, the pre-trained foundation models have obtained significant breakthroughs in computer vision (CV) and natural language processing (NLP), demonstrating the powerful effect of the pre-training and fine-tuning paradigm. Here, inspired by the huge success of the pre-trained foundation models in the artificial intelligence (AI), we provide a universal solution for different FMIR problems by presenting a unified FMIR foundation model (UniFMIR), achieving higher image precision, better generalization performance, efficient and low-cost training of the task-specific model. The experimental results on five FMIR tasks and nine datasets, covering a wide range of fluorescence microscopy imaging modalities and biological samples, demonstrate the strong capability of the UniFMIR to handle various FMIR situations with a single model. The UniFMIR, pre-trained on the large-scale dataset we collected, can effectively transfer the knowledge learned during the pre-training to a specific FMIR situation by fine-tuning and can obtain a significant performance improvement, uncovering clear nanoscale cell structures and facilitating high-quality imaging in live samples.
This work first explores the potential of applying the foundation model for FMIR. We hope to provide some inspiration for more researchers to further explore the DL-based FMIR and to trigger new research highlights of the FMIR model pre-training and development.
Evaluation of the safety profile and therapeutic efficacy of remdesivir in children with SARS- CoV-2 infection – a single-centre, retrospective, cohort study
Authors: Kautsch Karolina , Wiśniowska Joanna , Friedman-Gruszczyńska Joanna , Buda Piotr 
Published: August 2023

Abstract
Purpose
Despite 3.5 years of the SARS-CoV-2 pandemic we still lack effective drugs against COVID-19. The first and most used one, remdesivir, still has not been clearly proven to be effective in the treatment of adults. Its effectiveness in children is even less known. Therefore, this retrospective study aimed to evaluate the safety and efficacy of remdesivir in paediatric patients with COVID-19 hospitalized in one medical centre.
Methods
Medical records of 328 children with COVID-19 were analyzed. The analysis was performed on the subgroups of children treated and not treated with remdesivir. Clinical data regarding general health condition, the course of COVID-19 and the administered treatment were analyzed.
Results
Remdesivir was administered to 64 children, 16 to treat severe or critical illness, and 48 due to the presence of risk factors to prevent progression to severe COVID-19. Among children with severe COVID-19 remdesivir did not reduce the death rate. However, in patients with milder courses and risk factors, the drug significantly reduced the risk of progression to severe disease. Among the adverse events, only mild elevations of aminotransferases were observed in 4 patients, but none of them required treatment discontinuation.
Conclusions
Remdesivir is a safe form of treatment in children with COVID-19. However, the effectiveness of such therapy is still uncertain. It seems that in children with asymptomatic to moderate COVID-19 and risk factors for severe disease, remdesivir could be an effective method of prophylaxis. However, its effectiveness in combating severe disease is questionable and requires further studies.
Associations of U.S. state-level COVID-19 policies intensity with cannabis sharing behaviors in 2020
Authors: Assaf Ryan D. , Hamad Rita , Javanbakht Marjan , Arah Onyebuchi A. , Shoptaw Steven J. , Cooper Ziva D. , Gorbach Pamina M. 
Published: August 2023

Abstract
Background
Cannabis use before the COVID-19 pandemic for many involved sharing prepared cannabis for inhalation, practices that were less prevalent during the pandemic. State-level COVID-19 containment policies may have influenced this decrease. This study examined the extent to which the intensity of state-level COVID-19 policies were associated with individual-level cannabis sharing. Findings have the potential to guide harm reduction policies for future respiratory pandemics and seasonal respiratory virus waves.
Methods
This study used cross-sectional individual-level data from the COVID-19 Cannabis Study, an anonymous U.S.-based web survey on cannabis use disseminated during the early phase of the pandemic (Full sample N = 1,883). We combined individual-level data with state-level policy data from Kaiser Family Foundation’s State COVID-19 Data and Policy Actions for three time-points from June to August 2020 that overlapped with the survey period. Cannabis sharing was dichotomized as any versus no sharing. We adapted a previously published coding framework to score the intensity of COVID-19 policies implemented in each U.S. state and averaged the policy score across the time period. We then used logistic regression models to quantify the associations of the average state-level COVID-19 policy score with cannabis sharing during the pandemic.
Results
Participants (n = 975) reporting using inhalation as a mode for cannabis use were included in this analysis. Most respondents were male (64.1%), non-Hispanic White (54.3%), with a mean age of 33.7 years (SD 8.8). A large proportion (75.1%) reported sharing cannabis during the pandemic. Those who shared cannabis more commonly lived in states with a lower average policy score (15.3, IQR 11.3–19.0) compared to those who did not share (16.3, IQR 13.7–22.7). In adjusted models, the odds of any cannabis sharing per every 5-unit increase in the average COVID-19 policy score were 0.78 (95% CI 0.58, 1.04).
Conclusions
Fewer individuals shared cannabis in states with more intense COVID-19 containment policies compared to those in states with less intense policies. Individuals who use cannabis may be willing to make changes to their behavior and may further benefit from specific and directed public health messaging to avoid sharing during respiratory infection outbreaks.
Variable Predictor of Non-Measurability for Fractional Flow Reserve Derived from Coronary Computed Tomography Angiography
Authors: Nonaka Hideaki , Yahagi Kazuyuki , Komiyama Kota , Oshima Asahi , Kawakami Toshinaru , Gonda Yuki , Tezuka Takumi , Yoshiura Daiki , Ishizawa Taiki , Sekiguchi Masahiro , Horiuchi Yu , Asami Masahiko , Yuzawa Hitomi , Tanaka Jun , Aoki Jiro , Tanabe Kengo 
Published: August 2023

Abstract
Purpose
The fractional flow reserve derived from coronary computed tomography angiography (FFRCT) cannot be analyzed in some cases (non-measurability). Current data on non-measurability is lacking. This study aimed to examine the non-measurability rate and factors associated with non-measurability in daily clinical practice.
Methods
This retrospective observational study included consecutive patients who underwent FFRCT analysis at our hospital. The primary outcome was FFRCT non-measurability (defined as an inability to perform quantitative analysis with FFRCT) rate. Factors associated with non-measurability were evaluated with logistic regression analysis.
Results
Among the 307 patients enrolled, 21 (6.8%) could not be analyzed. Heart rate at computed tomography examination and coronary calcium scores were significantly higher in cases with non-measurability than in those with measurability (heat rate: 69.6 ± 8.9 bpm vs. 61.0 ± 11.1 bpm; p = 0.001; coronary calcium score; 931.2 [290.8, 1451.3] vs. 322.9 [100.7, 850.0]; p = 0.008). Multivariate analysis showed that heart rate was an independent predictor for non-measurability (odds ratio, 1.05; 95% CI: 1.02, 1.09; p = 0.002). Based on the receiver operating characteristic curve analysis, the optimal cut-off value of heart rate and coronary calcium score is 63 bpm (specificity, 67.1%; sensitivity, 76.2%) and 729.2 (specificity, 71.3%; sensitivity, 66.7%), respectively. In addition, the absence of two features (heart rate > 63 bpm and coronary calcium score > 729.2) showed a high negative predictive value (99.3%) for FFRCT non-measurability.
Conclusions
The rate of FFRCT non-measurability was 6.8%. Heart rate is an important factor in acquiring FFRCT values and, when combined with coronary calcium score, can predict FFRCT measurability with high probability.
Rapid visual nucleic acid detection of Vibrio alginolyticus by RPA combined with CRISPR/Cas13a
Authors: Wang Yanan , Hou Yachao , Liu Xinping , Lin Na , Dong Youyou , Liu Fei , Xia Wenrong , Zhao Yongqi , Xing Weiwei , Chen Jin , Chen Changguo 
Published: August 2023

Abstract
Vibrio alginolyticus (V. alginolyticus) is a common pathogen that infects humans and animals. In addition to causing serious economic losses in aquaculture, it can also infect humans. The rapid detection of nucleic acids of V. alginolyticus with high sensitivity and specificity in the field is very important for the diagnosis and treatment of infection caused by V. alginolyticus. Here, we established a simple, fast and effective molecular method for the identification of V. alginolyticus that does not rely on expensive instruments and professionals. The method integrates RPA technology with CRISPR technology in a single PCR tube. Using this method, the results can be visualized by lateral flow dipstick in less than 50 minutes. The method was confirmed to achieve high specificity for the detection of V. alginolyticus with no cross-reactivity with similar Vibrio and common clinical pathogens. This diagnostic method shows high sensitivity; the detection limit of the RPA-CRISPR/Cas13a-LFD is 10 copies µL-1. The results for 55 wild strains were consistent with TaqMan-qPCR, and it can be concluded that the methods have 100% sensitivity and 100% specificity. In conclusion, RPA-CRISPR/Cas13a offers great potential as a useful tool for reliable and rapid diagnosis of V. alginolyticus infection, especially in limited conditions.
Directed dynamic attribute graph anomaly detection based on evolved graph attention for blockchain
Authors: Liu Chenlei , Xu Yuhua , Sun Zhixin 
Published: August 2023

Abstract
Blockchain is gradually becoming an important data storage platform for Internet digital copyright confirmation, electronic deposit, and data sharing. Anomaly detection on the blockchain has received extensive attention as the foundation for securing blockchain-based digital applications. However, the current blockchain anomaly detection for obtaining network nodes' depth and dynamic change features still needs improvement. In this paper, we propose a blockchain anomaly detection method based on evolved graph attention. Different from general blockchain network modeling methods, we first adopt a dynamic attribute graph network construction method to model each transaction using edges to provide more learnable transaction attribute information for graph representation learning in blockchain networks. Then, we propose an evolved graph attention model structure, which learns the time evolution features of the blockchain network and dynamically updates the learning weights of the subnetwork nodes with different time steps while fully extracting the deep features of the blockchain nodes and avoiding the influence of noisy data on the classification results. In order to solve the dataset imbalance problem, we also apply the SMOTE method for graph-structured data on blockchain for the first time. Finally, we identify node labels in blockchain networks using a binary classification method and verify our proposed scheme through multiple rounds of experiments.
Zavegepant intranasal spray for the Acute Treatment of Migraine : A Systematic Review and Meta-Analysis of Randomized Clinical Trials
Authors: Suresh Vinay , Bardhan Mainak , Dave Tirth , Shamim Muhammad Aaqib , Suresh Dilip , S Poorvikha , Dhakal Bishal , Bhonsale Aman , Roy Priyanka , Padhi Bijaya Kumar , Monteith Teshamae 
Published: August 2023

Abstract
Migraine is a prevalent and debilitating primary headache disorder with significant socio-economic and personal impacts. This study aims to evaluate the safety and efficacy of zavegepant, a recently approved third-generation small-molecule calcitonin gene-related peptide (CGRP) receptor antagonist nasal spray (BHV-3500), ), to be administered as a nasal spray in the acute treatment of migraine attacks. A search was conducted across multiple databases, to identify relevant randomized clinical trials (RCTs). After the study selection process, 2 RCTs (involving 2850 participants) and an additional trial for qualitative synthesis were included for analysis. The primary efficacy outcome assessed was freedom from pain at 2 hours post-dose, which showed a significantly higher likelihood in the zavegepant 10 mg group compared to the placebo group (RR 1.54, 95% CI 1.28 to 1.84). Additionally, zavegepant 10 mg demonstrated superior freedom from the most bothersome symptoms (MBS) at 2 hours post-dose compared to placebo (RR 1.26, 95% CI 1.13 to 1.42). Safety outcomes were evaluated based on adverse events (AEs), with the zavegepant 10 mg group experiencing a higher incidence of AEs compared to placebo (RR 1.78, 95% CI 1.5 to 2.12). Dysgeusia was the most commonly reported AE in the zavegepant group (RR 4.18, 95% CI 3.05 to 5.72). zavegepant effectively relieved pain and bothersome symptoms at 2 hours post-dose, however, it was associated with a higher incidence of adverse events, predominantly dysgeusia. In conclusion, while further research and clinical trials are needed to evaluate the long-term effectiveness and safety of zavegepant in diverse patient populations, the analyzed trials provide compelling evidence that zavegepant is a potentially effective acute treatment for migraine.
Tuning the spin qubit property of diamagnetic Zn(II) metal– organic frameworks via Cu(II) doping
Authors: Wakizaka Masanori , Gupta Shraddha , Wan Qingyun , Takaishi Shinya , Noro Honoka , Sato Kazunobu , Yamashita Masahiro 
Published: August 2023

Abstract

With the aim of developing a general method for the synthesis of molecular spin qubits, this work demonstrates a spin-center doping method based on the use of a metal–organic framework (MOF). As the MOF host, perovskite-type [CH6N3][ZnII(HCOO)3] doped with 5%, 2%, and 1% mol of Cu(II) ions is used. An analysis including X-ray fluorescence spectroscopy, magnetism, and the complete active space self-consistent field calculation method confirm the presence of dopant Cu(II) sites with the S = 1/2 system. Magnetic dynamics indicate the occurrence of a slow magnetic relaxation via the Raman process under an applied field, with a relaxation time of 3.5 ms (5% Cu), 9.2 ms (2% Cu), and 15 ms (1% Cu) at 1.8 K. Furthermore, pulse electron spin resonance spectroscopy reveals spin qubit properties with a Hahn echo decay time of 0.24 µs (2% Cu) and 0.41 µs (1% Cu) at 4 K as well as Rabi oscillation between MS = ± 1/2 spin sublevels. These relaxation-extending effects stem from the weakening of the spin–spin interactions between the Cu(II) sites and can be tuned by adjusting the dopant concentration. This work demonstrates a new application of MOFs as quantum materials having fine-tuning ability for spin qubits.