bluuebunny/crossref_metadata_2025_split huggingface dataset:
Ultrasensitive detection of uveal melanoma using [18F]AlF-NOTA-PRGD2 PET imaging
Authors: Wang Ling , Zhu Xue , Xue Yan , Huang Zhihong , Zou Wenjun , Zhang Zhengwei , Yu Mengxi , Pan Donghui , Wang Ke 
Published: July 2024

Abstract
Background
Uveal melanoma (UM) is the most common primary intraocular tumor in adults, and early detection is critical to improve the clinical outcome of this disease. In this study, the diagnostic effectiveness of [18F]AlF-NOTA-PRGD2 (an investigational medicinal product) positron emission tomography (PET) imaging in UM xenografts and UM patients were evaluated. The cell uptake, cell binding ability and in vitro stability of [18F]AlF-NOTA-PRGD2 were evaluated in 92-1 UM cell line. MicroPET imaging and biodistribution study of [18F]AlF-NOTA-PRGD2 were conducted in 92-1 UM xenografts. Then, UM patients were further recruited for evaluating the diagnostic effectiveness of [18F]AlF-NOTA-PRGD2 PET imaging (approval no. NCT02441972 in clinicaltrials.gov). In addition, comparison of [18F]AlF-NOTA-PRGD2 and 18F-labelled fluorodeoxyglucose ([18F]FDG) PET imaging in UM xenografts and UM patients were conducted.

Results
The in vitro data showed that [18F]AlF-NOTA-PRGD2 had a high cell uptake, cell binding ability and in vitro stability in 92-1 UM cell line. The in vivo data indicated that 92-1 UM tumors were clearly visualized with the [18F]AlF-NOTA-PRGD2 tracer in the subcutaneous and ocular primary UM xenografts model at 60 min post-injection. And the tumor uptake of the tracer was 2.55 ± 0.44%ID/g and 1.73 ± 0.15%ID/g at these two tissue locations respectively, at 7 days after animal model construction. The clinical data showed that tumors in UM patients were clearly visualized with the [18F]AlF-NOTA-PRGD2 tracer at 60 min post-injection. In addition, [18F]AlF-NOTA-PRGD2 tracer showed higher sensitivity and specificity for PET imaging in UM xenografts and UM patients compared to [18F]FDG tracer.

Conclusion
[18F]AlF-NOTA-PRGD2 PET imaging may be a more preferred approach in the diagnosis of primary UM compared to [18F]FDG PET imaging. Additionally, due to the high tumor-to-background ratio, [18F]AlF-NOTA-PRGD2 PET imaging seems also to be applicable for the diagnosis of UM patients with liver metastasis.
Trial registration: ClinicalTrials.gov: NCT02441972, Registered 1 January 2012, https://clinicaltrials.gov/study/NCT02441972.
ASOD: an adaptive stream outlier detection method using online strategy
Authors: Hu Zhichao , Yu Xiangzhan , Liu Likun , Zhang Yu , Yu Haining 
Published: July 2024

AbstractIn the current era of information technology, blockchain is widely used in various fields, and the monitoring of the security and status of the blockchain system is of great concern. Online anomaly detection for the real-time stream data plays vital role in monitoring strategy to find abnormal events and status of blockchain system. However, as the high requirements of real-time and online scenario, online anomaly detection faces many problems such as limited training data, distribution drift, and limited update frequency. In this paper, we propose an adaptive stream outlier detection method (ASOD) to overcome the limitations. It first designs a K-nearest neighbor Gaussian mixture model (KNN-GMM) and utilizes online learning strategy. So, it is suitable for online scenarios and does not rely on large training data. The K-nearest neighbor optimization limits the influence of new data locally rather than globally, thus improving the stability. Then, ASOD applies the mechanism of dynamic maintenance of Gaussian components and the strategy of dynamic context control to achieve self-adaptation to the distribution drift. And finally, ASOD adopts a dimensionless distance metric based on Mahalanobis distance and proposes an automatic threshold method to accomplish anomaly detection. In addition, the KNN-GMM provides the life cycle and the anomaly index for continuous tracking and analysis, which facilities the cause analysis and further interpretation and traceability. From the experimental results, it can be seen that ASOD achieves near-optimal F1 and recall on the NAB dataset with an improvement of 6% and 20.3% over the average, compared to baselines with sufficient training data. ASOD has the lowest F1 variance among the five best methods, indicating that it is effective and stable for online anomaly detection on stream data.
Alopecia areata following COVID-19 vaccine: a systematic review
Authors: Zhu Yunxia , Ouyang Xiaoliang , Zhang Deng , Wang Xiuping , Wu Liang , Yu Simin , Tan Yanping , Li Wei , Li Chunming 
Published: July 2024

Abstract
Background
To date, multiple cases of adverse reactions to COVID-19 vaccines have been reported worldwide. Alopecia areata (AA) is an uncommon type of adverse reaction reported in some articles and has a significant social and psychological impact on patients. Our study aimed to review the AA and COVID-19 vaccine literature.

Methods
This systematic review was conducted by searching for articles on AA following COVID-19 vaccines in international databases such as Embase, MEDLINE, PubMed, Web of Knowledge, and Ovid from December 2019 to December 30, 2023. We included studies that provided data for AA patients following COVID-19 vaccination with at least one dose. Data on sex, age, country/region of origin, vaccine type, days between vaccination and symptom presentation, manifestations of AA, trichoscopy and histopathological findings, treatment, and outcomes were included.

Results
In total, 579 explored studies were identified and assessed, and 25 articles with a total of 51 patients were included in the review. Twenty-seven (52.9%) patients developed new-onset AA following receiving the COVID-19 vaccine, and AA recurrence or exacerbation occurred after receiving the COVID-19 vaccine in 24 (47.1%) patients with preexisting disease. Five vaccines were reported to cause AA in all cases. The Pfizer vaccine (45.1%) was the most frequently reported, followed by the ChAdOx1 nCoV-19 vaccine (27.5%), Moderna mRNA-1273 (19.6%), Sinopharm (3.9%) and SinoVac (3.9%). AA occurred most frequently within one month after the 1st dose, and then, the incidence decreased gradually with time. Topical or systemic corticosteroids were used in 38 patients. Eleven patients were treated with a Janus Kinase inhibitor (jakinib) inhibitor, eight with tofacitinib, and three with an unspecified jakinib. However, 3 of the 11 patients experienced exacerbations after treatment.

Conclusion
AA after COVID-19 vaccination is rare, and physicians should be aware of this phenomenon to improve early diagnosis and appropriate treatment.
Heat stress affects mammary metabolism by influencing the plasma flow to the glands
Authors: Zeng Jia , Wang Diming , Sun Huizeng , Liu Hongyun , Zhao Feng-Qi , Liu Jianxin 
Published: July 2024

Abstract
Background
Environmental heat stress (HS) can have detrimental effects on milk production by compromising the mammary function. Mammary plasma flow (MPF) plays a crucial role in nutrient supply and uptake in the mammary gland. In this experiment, we investigated the physiological and metabolic changes in high-yielding cows exposed to different degrees of HS: no HS with thermal-humidity index (THI) below 68 (No-HS), mild HS (Mild-HS, 68 ≤ THI ≤ 79), and moderate HS (Mod-HS, 79 < THI ≤ 88) in their natural environment. Our study focused on the changes in blood oxygen supply and mammary glucose uptake and utilization.

Results
Compared with No-HS, the MPF of dairy cows was greater (P < 0.01) under Mild-HS, but was lower (P < 0.01) in cows under Mod-HS. Oxygen supply and consumption exhibited similar changes to the MPF under different HS, with no difference in ratio of oxygen consumption to supply (P = 0.46). The mammary arterio-vein differences in glucose concentration were lower (P < 0.05) under Mild- and Mod-HS than under no HS. Glucose supply and flow were significantly increased (P < 0.01) under Mild-HS but significantly decreased (P < 0.01) under Mod-HS compared to No-HS. Glucose uptake (P < 0.01) and clearance rates (P < 0.01) were significantly reduced under Mod-HS compared to those under No-HS and Mild-HS. Under Mild-HS, there was a significant decrease (P < 0.01) in the ratio of lactose yield to mammary glucose supply compared to that under No-HS and Mod-HS, with no difference (P = 0.53) in the ratio of lactose yield to uptaken glucose among different HS situations.

Conclusions
Degrees of HS exert different influences on mammary metabolism, mainly by altering MPF in dairy cows. The output from this study may help us to develop strategies to mitigate the impact of different degrees of HS on milk production.
Exogenous ethephon treatment on the biosynthesis and accumulation of astragaloside IV in Astragalus membranaceus Bge. Var. Mongholicus (Bge.) Hsiao
Authors: Wu Haonan , Cui Hang , Tian Yu , Wu Jiawen , Bai Zhenqing , Zhang Xiujuan 
Published: July 2024

Abstract
Background
Astragaloside IV is a main medicinal active ingredient in Astragalus membranaceus Bge. var. mongholicus (Bge.) Hsiao, which is also the key biomarker of A. membranaceus quality. Ethylene has been well-documented to involve in secondary metabolites biosynthesis in plants. Nevertheless, how ethylene regulates astragaloside IV biosynthesis in A. membranaceus is still unclear. Therefore, in the present study different dosages and time-dependent exogenous application of ethephon (Eth) were employed to analyze astragaloside IV accumulation and its biosynthesis genes expression level in hydroponically A. membranaceus.

Results
Exogenous 200 µmol·L− 1Eth supply is most significantly increased astragaloside IV contents in A. membranaceus when compared with non-Eth supply. After 12 h 200 µmol·L− 1 Eth treatment, the astragaloside IV contents reaching the highest content at 3 d Eth treatment(P ≤ 0.05). Moreover, After Eth treatment, all detected key genes involved in astragaloside IV synthesis were significant decrease at 3rd day(P ≤ 0.05). However, SE displayed a significant increase at the 3rd day under Eth treatment(P ≤ 0.05). Under Eth treatment, the expression level of FPS, HMGR, IDI, SS, and CYP93E3 exhibited significant negative correlations with astragaloside IV content, while expression level of SE displayed a significant positive correlation.

Conclusions
These findings suggest that exogenous Eth treatment can influence the synthesis of astragaloside IV by regulating the expression of FPS, HMGR, IDI, SS, CYP93E3 and SE. This study provides a theoretical basis for utilizing molecular strategies to enhance the quality of A. membranaceus.
Design of point-of-care electrochemical sensor for therapeutic drug monitoring of ofloxacin in biological fluids
Authors: Kelani Khadiga M. , Fayez Yasmin Mohammed , Gad Asmaa G. , Mahmoud Amr M. 
Published: July 2024

AbstractA disposable screen-printed sensor has been crafted specifically for therapeutic drug monitoring purposes, particularly for detecting ofloxacin in biological fluids. To enhance selectivity toward ofloxacin, a supramolecular calix [6] arene serves as the ionophore of choice. The sensor incorporates a graphene nanocomposite as an ion-to-electron transducer layer, which not only boosts potential stability but also mitigates potential drift. The developed ofloxacin sensor underwent rigorous characterization following IUPAC guidelines. The linearity range spans from 1 × 10–6 to 1 × 10–2 M, with a measured slope of 59.0 mV/decade. Impressively, it boasts a percentage recovery of 100.18 ± 1.60 and a low detection limit (LOD) of 6 × 10–7 M. Stability assessments indicate reliable performance over an extended period of 8 weeks. The versatility of this sensor extends to various applications, including the determination of ofloxacin in pharmaceutical formulations, bulk powder, and biological fluids. Notably, it has demonstrated efficacy post-bioanalysis validation, adhering to Food and Drug Administration regulations. This advancement holds promise for personalized therapeutic drug monitoring in clinical pharmacy studies and quality control laboratories, thereby optimizing patient care at the point-of-care.
Graphical abstract
Saving behavior among immigrant and native youth
Authors: Lössbroek Jelle , Van Tubergen Frank 
Published: July 2024

AbstractThis study investigates the role of migration background in the saving behavior of youth, with a focus on immigrant generation, national origin, and the influence of cultural and socioeconomic factors. Drawing on a nationally representative dataset of over 28,000 secondary school students in the Netherlands, we employ binary logit models to analyze two dimensions of saving behavior: the likelihood of saving money and the propensity to use bank accounts for savings. Our findings reveal significant disparities in saving behavior among immigrant and non-immigrant youth. Migrant youth are less likely to save overall, and when they do, they exhibit a reduced inclination to use bank accounts for their savings. Furthermore, the study uncovers nuanced patterns within the immigrant youth population. First-generation immigrant youth display lower levels of saving and bank account usage compared to their second-generation counterparts, particularly to those with one foreign-born parent. Distinct national origin effects are observed, as Turkish and Moroccan youth exhibit reduced likelihoods of saving, particularly through bank accounts, compared to Surinamese and Dutch Antillean youth. The results also indicate that the disparities in saving behavior across migration background, immigrant generation, and national origin are partly explained by socioeconomic and cultural forces. Socio-economic status and parental education emerge as key determinants, with higher parental socio-economic resources and education levels positively associated with youth saving behavior and bank account usage. Additionally, religious affiliation, particularly among Muslim youth, contributes to variations in saving behavior due to the prohibition of interest-bearing transactions.
Dynamic resectorization to improve utility of healthcare systems
Authors: Teymourifar Aydin , Trindade Maria A. M. 
Published: July 2024

AbstractBalancing is an essential challenge in healthcare systems that requires effective strategies. This study aims to address this crucial issue by suggesting a practical approach. We show the potential of balancing a regional healthcare system to improve its utility. We consider a regional healthcare system comprising multiple hospitals with different sizes, capacities, quality of service, and accessibility. We define a utility function for the system based on the sectorization concept, which endeavors to form a balance between hospitals in terms of essential outputs such as waiting times and demands. The dynamic nature of the system means that this balance degrades over time, necessitating periodic sectorization, which is called resectorization. Our methodology stands out for incorporating resectorization as a dynamic strategy, enabling more flexible and responsive adaptations to continuously changing healthcare needs. Unlike previous studies, based on a system-oriented approach, our resectorization scenarios include the periodic closure of some hospitals. This enables us to enhance both the capacity and quality of healthcare facilities. Furthermore, in contrast to other studies, we investigate the states of diminishing demand throughout the resectorization process. To provide empirical insights, we conduct a simulation using data from a real-world case study. Our analysis spans multiple time periods, enabling us to dynamically quantify the utility of the healthcare system. The numerical findings demonstrate that substantial utility improvements are attainable through the defined scenarios. The study suggests a practical solution to the critical challenge of balancing issues in regional healthcare systems.
Non-invasively identifying candidates of active surveillance for prostate cancer using magnetic resonance imaging radiomics
Authors: Liu Yuwei , Zhao Litao , Bao Jie , Hou Jian , Jing Zhaozhao , Liu Songlu , Li Xuanhao , Cao Zibing , Yang Boyu , Shen Junkang , Zhang Ji , Ji Libiao , Kang Zhen , Hu Chunhong , Wang Liang , Liu Jiangang 
Published: July 2024

AbstractActive surveillance (AS) is the primary strategy for managing patients with low or favorable-intermediate risk prostate cancer (PCa). Identifying patients who may benefit from AS relies on unpleasant prostate biopsies, which entail the risk of bleeding and infection. In the current study, we aimed to develop a radiomics model based on prostate magnetic resonance images to identify AS candidates non-invasively. A total of 956 PCa patients with complete biopsy reports from six hospitals were included in the current multicenter retrospective study. The National Comprehensive Cancer Network (NCCN) guidelines were used as reference standards to determine the AS candidacy. To discriminate between AS and non-AS candidates, five radiomics models (i.e., eXtreme Gradient Boosting (XGBoost) AS classifier (XGB-AS), logistic regression (LR) AS classifier, random forest (RF) AS classifier, adaptive boosting (AdaBoost) AS classifier, and decision tree (DT) AS classifier) were developed and externally validated using a three-fold cross-center validation based on five classifiers: XGBoost, LR, RF, AdaBoost, and DT. Area under the receiver operating characteristic curve (AUC), accuracy (ACC), sensitivity (SEN), and specificity (SPE) were calculated to evaluate the performance of these models. XGB-AS exhibited an average of AUC of 0.803, ACC of 0.693, SEN of 0.668, and SPE of 0.841, showing a better comprehensive performance than those of the other included radiomic models. Additionally, the XGB-AS model also presented a promising performance for identifying AS candidates from the intermediate-risk cases and the ambiguous cases with diagnostic discordance between the NCCN guidelines and the Prostate Imaging-Reporting and Data System assessment. These results suggest that the XGB-AS model has the potential to help identify patients who are suitable for AS and allow non-invasive monitoring of patients on AS, thereby reducing the number of annual biopsies and the associated risks of bleeding and infection.
Studying the efficacy of low-dose colchicine on clinical outcomes of patients with STEMI: a randomized controlled trial
Authors: Yousefzadeh Mojtaba , Khosrobeigi Ali , Salehi Ayoub 
Published: July 2024

Abstract
Background
Numerous studies have underscored the essential role of inflammation across all stages of atherosclerosis. While various anti-inflammatory interventions have been implemented to mitigate inflammation-induced injuries, outcomes have been conflicting. Given the essential role of inflammation in these patients and limited data regarding the efficacy of low-dose Colchicine as an anti-inflammatory drug, we aimed to study the efficacy of low-dose Colchicine on clinical outcomes of patients with STEMI in Iran.

Results
Participants presented with STEMI and qualified revascularization at Shahid Beheshti Hospital in Qom during 2022 and 2023 were included into the study. This study included 172 STEMI patients (114 males and 58 females) within the mean age of 58.93 ± 7.79. Results indicate that colchicine (2 mg for loading dose and 0.5 mg daily for 30 days) and placebo group were not significant differences in identical profiles regarding age and gender. Analyses revealed no significant differences in clinical outcome after the 40-day follow-up period.

Conclusions
This study revealed that the addition of colchicine did not yield a significant benefit in enhancing the outcomes of patients with STEMI.
Clinical trial registration: This study was prospectively registered on Iranian registry of clinical trials, with registration number (IRCT20231001059578N1).
Transarterial embolization in Wunderlich syndrome due to recanalization of giant renal angiomyolipoma pseudoaneurysm: a case report and literature review
Authors: Koesbandono  , Sidipratomo Prijo , Utomo Raditya , Tansol Christiano , Kurniawan Yohanes Chandra 
Published: July 2024

Abstract
Background
Acute spontaneous bleeding from renal angiomyolipoma (AML) is one of the causes of Wunderlich syndrome, a rare and potentially fatal clinical condition. Clinical deterioration will occur if there is a delay in urgent management. There are several management options for renal angiomyolipoma rupture. However, until now little is known about the case of recanalization from post-coil embolization of renal angiomyolipoma. There is no guideline about embolization technique for the management of recurrent bleeding after embolization or coil recanalization of renal angiomyolipoma.

Case presentation
A 55-year-old male has Wunderlich syndrome caused by recurrent bleeding of giant AML of the left renal due to coil recanalization compounded by a pseudoaneurysm and other bleeding site in bilateral giant renal angiomyolipoma which is showed by contrast-enhanced abdominal computed tomography scan. The patient underwent urgent transarterial embolization and some blood transfusion. Clinical improvement occurred and the patient discharged several days later.

Conclusions
Embolization for spontaneous bleeding or rebleeding of renal pseudoaneurysms may become the first choice of treatment in bilateral multiple renal angiomyolipoma rather than other managements which are available to preserve renal function.
Achieving sustainable development in ECOWAS countries: the impact of trade openness, poverty and human capital
Authors: Balogun Musliudeen Adewale , Tella Sheriffdeen Adewale , Adelowokan Oluwaseyi Adedayo , Ogede Jimoh Sina , Adegboyega Soliu Bidemi 
Published: July 2024

AbstractThis study investigates the relationship among trade openness, poverty, and human capital development in the pursuit of sustainable development across a panel of ten ECOWAS economies over a 34-year period (1987–2020). Specifically, it examines the roles of trade openness, poverty, and human capital development in sustainable development, while also exploring the moderating role of trade openness on the poverty-sustainable development relationship within the ECOWAS region. To conduct this analysis, the study employs panel autoregressive distributed lag (ARDL) using both the Pool Mean Group (PMG) estimator and Cross-Sectional Autoregressive Distributed Lag (CS-ARDL) techniques, taking into account cross-sectional dependence, cointegration, and other relevant diagnostic tests. The findings indicate that poverty has a consistent negative long-run impact on sustainable development, while human capital is positively associated with sustainability over the long term. Trade openness lacks a significant relationship with sustainability in both the short and long run. Inflation is insignificantly related to sustainability. Exchange rates demonstrate mixed effects. In terms of moderation, trade openness positively and significantly moderates the poverty-sustainability relationship in the long run but not the short run. Robustness testing using the AMG and P-OLS models further validates the significant positive impact of human capital and the insignificant effect of trade openness on sustainable development. Given poverty’s significant negative association and human capital’s positive link with sustainable development, the findings suggest the need for integrated policy mixes prioritizing multidimensional poverty reduction and human capability enhancement to promote sustainability objectives across both short- and long-term horizons in ECOWAS countries. Furthermore, prudent management of exchange rates and well-designed trade policies should complement these efforts to mitigate potential risks and harness any benefits for sustainability.