bluuebunny/crossref_metadata_2025_split huggingface dataset:
Legislative Responses to Cyberbullying in the UAE: An Examination of the Effectiveness of Two Federal Decrees
Authors: Maghaireh Alaeldin Mansour 
Published: May 2024

Abstract
This article examines the phenomenon of cyberbullying from a legal perspective, focusing on the United Arab Emirates (‘UAE’). The increased use of technology in daily life has led to a rise in cybercrime, including cyberbullying. Children are frequent users of the cyber-world, and cyberbullying has become a significant issue that can have severe physical and psychological impacts. This paper aims to explore cyberbullying in the UAE and analyse the relevant provisions of two laws: the Federal Decree Law No. 34 of 2021 on Combating Rumours and Cybercrime and the Federal Decree Law No. 3 of 2016 on Child Rights. Specifically, the paper addresses two questions: whether the concept of cyberbullying is distinct from that of physical bullying, and, more importantly, whether existing UAE laws are sufficient to address cyberbullying. The paper concludes by highlighting the urgent need for the UAE to revise some provisions to tackle cyberbullying and protect users, especially children.
Applying geometric morphometrics in megalopa larval stages: relevance for species distribution and biological invasion studies
Authors: Díaz-Cruz Jonah , Fatira Effrosyni , Tuset Víctor M. , Rodríguez Adriana , Landeira José M. 
Published: May 2024

Abstract
Larval morphology in brachyuran crabs is an essential trait defining survival in the planktonic environment. The present study describes the morphology (carapace and chelipeds) of megalopa larvae in three different species (Percnon gibbesi, Cronius ruber, and Achelous hastatus) using geometric morphometric analysis (gma). The study aim was to compare the observed body patterns at interspecific and intraspecific levels. The results showed a marked interspecific distinction of C. ruber larvae based on the rostral region of carapace and cheliped length. We relate these differences to advantages in life performance, as in other animal models, suggesting that larval morphology can be another factor contributing to the invasiveness of C. ruber. At intraspecific level, we found a high morphological similarity between two distant geographical locations, indicating strong genetic connectivity in the populations of P. gibbesi from the Canary Islands. Our findings advance the importance of larval morphology for species performance during the plankton phase that eventually can determine invasiveness in brachyuran crabs. We suggest future studies focusing on the inter-population comparisons of megalopa morphology at larger spatiotemporal scales.
An Encounter Between Engaged Pure-Land Buddhism and the Dialogical Philosophy of Martin Buber
Authors: Margulies Hune 
Published: May 2024

Abstract
Engaged Buddhism emphasizes the translation of dharma teachings into social engagement. A proper understanding of Buddhadharma rejects the duality between the realm of the individual and the realm of the social. Therefore, a dharma that does not create a dharmic society will not create dharmic individuals. Martin Buber (1878–1965) was one of the most important and consequential philosophers of 20th-century spiritual thought. The Dialogical philosophy of Martin Buber represents a creative confluence between Western Humanism and some aspects of Zen Buddhism. Buber translated and studied Taoist texts and “oriental” wisdom systems, such as Buddhism and Hinduism. This article argues that Buber’s concept of “God as the between of I and Thou” can be posed in Buddhist terms as “Buddha is the between of I and Thou.” This primordial social spirituality resembles in many respects the teachings of engaged Buddhism, particularly the Pure Land teachings of Master Sheng Yen.
Treatment of vascular leg ulcers with leukocyte- and platelet-rich fibrin (L-PRF): A systematic review
Authors: Barzegar Amin Amirali , Dorpmans Dries , Mufty Hozan , Fourneau Inge 
Published: May 2024

Objectives: This systematic review aimed to assess the efficacy of Leukocyte- and Platelet-Rich Fibrin (L-PRF) for the treatment of vascular leg ulcers. Method: Following PRISMA guidelines, a literature search was done for studies where L-PRF was used to treat vascular leg ulcers. Results: Among six included articles, a total of 76 venous leg ulcers were treated with L-PRF. None of the studies included ulcers of arterial or lymphatic origin. Fifty-seven (75.0%) of the venous ulcers completely healed at end of follow-up. Mean time to complete healing was 6.7 weeks (SD = 5.0). All non-healed ulcers showed an important reduction in wound area. No adverse effects related to L-PRF therapy were reported. Conclusions: The results suggest that L-PRF could be a safe, simple to use and effective therapeutic option for the treatment of venous leg ulcers, however, caution is advised as the results are based on small sample sizes.
Low frequency of Vγ9Vδ2 T cells predicts poor survival in newly diagnosed acute myeloid leukemia
Authors: Le Floch Anne-Charlotte , Orlanducci Florence , Béné Marie-Christine , Ben Amara Amira , Rouviere Marie-Sarah , Salem Nassim , Le Roy Aude , Cordier Charlotte , Demerlé Clémence , Granjeaud Samuel , Hamel Jean-François , Ifrah Norbert , Cornillet-Lefebvre Pascale , Delaunay Jacques , Récher Christian , Delabesse Eric , Pigneux Arnaud , Vey Norbert , Chretien Anne-Sophie , Olive Daniel 
Published: May 2024

Abstract
In several tumor subtypes, an increased infiltration of Vγ9Vδ2 T cells has been shown to have the highest prognostic value compared with other immune subsets. In acute myeloid leukemia (AML), similar findings have been based solely on the inference of transcriptomic data and have not been assessed with respect to confounding factors. This study aimed at determining, by immunophenotypic analysis (flow or mass cytometry) of peripheral blood from patients with AML at diagnosis, the prognostic impact of Vγ9Vδ2 T-cell frequency. This was adjusted for potential confounders (age at diagnosis, disease status, European LeukemiaNet classification, leukocytosis, and allogeneic hematopoietic stem cell transplantation as a time-dependent covariate). The cohort was composed of 198 patients with newly diagnosed (ND) AML. By univariate analysis, patients with lower Vγ9Vδ2 T cells at diagnosis had significantly lower 5-year overall and relapse-free survivals. These results were confirmed in multivariate analysis (hazard ratio [HR], 1.55 [95% confidence interval (CI), 1.04-2.30]; P = .030 and HR, 1.64 [95% CI, 1.06-2.53]; P = .025). Immunophenotypic alterations observed in patients with lower Vγ9Vδ2 T cells included a loss of some cytotoxic Vγ9Vδ2 T-cell subsets and a decreased expression of butyrophilin 3A on the surface of blasts. Samples expanded regardless of their Vγ9Vδ2 T-cell levels and displayed similar effector functions in vitro. This study confirms the prognostic value of elevated Vγ9Vδ2 T cells among lymphocytes in patients with ND AML. These results provide a strong rationale to consider consolidation protocols aiming at enhancing Vγ9Vδ2 T-cell responses.
Combined full-length transcriptomic and metabolomic analysis reveals the molecular mechanisms underlying nutrients and taste components development in Primulina juliae
Authors: Zhang Yi , Yang Endian , Liu Qin , Zhang Jie , Feng Chen 
Published: May 2024

Abstract
Background
Primulina juliae has recently emerged as a novel functional vegetable, boasting a significant biomass and high calcium content. Various breeding strategies have been employed to the domestication of P. juliae. However, the absence of genome and transcriptome information has hindered the research of mechanisms governing the taste and nutrients in this plant. In this study, we conducted a comprehensive analysis, combining the full-length transcriptomics and metabolomics, to unveil the molecular mechanisms responsible for the development of nutrients and taste components in P. juliae.

Results
We obtain a high-quality reference transcriptome of P. juliae by combing the PacBio Iso-seq and Illumina sequencing technologies. A total of 58,536 cluster consensus sequences were obtained, including 28,168 complete protein coding transcripts and 8,021 Long Non-coding RNAs. Significant differences were observed in the composition and content of compounds related to nutrients and taste, particularly flavonoids, during the leaf development. Our results showed a decrease in the content of most flavonoids as leaves develop. Malate and succinate accumulated with leaf development, while some sugar metabolites were decreased. Furthermore, we identified the different accumulation of amino acids and fatty acids, which are associated with taste traits. Moreover, our transcriptomic analysis provided a molecular basis for understanding the metabolic variations during leaf development. We identified 4,689 differentially expressed genes in the two developmental stages, and through a comprehensive transcriptome and metabolome analysis, we discovered the key structure genes and transcription factors involved in the pathways.

Conclusions
This study provides a high-quality reference transcriptome and reveals molecular mechanisms associated with the development of nutrients and taste components in P. juliae. These findings will enhance our understanding of the breeding and utilization of P. juliae as a vegetable.
Practice pathways, education, and regulation influencing nurse practitioners’ decision to provide primary care: a rapid scoping review
Authors: Elvidge Norah , Hobbs Megan , Fox Amanda , Currie Jane , Williams Suzanne , Theobald Karen , Rolfe Melanie , Marshall Claire , Phillips Jane L. 
Published: May 2024

Abstract
Background/Objective
Initially established to improve access to healthcare, particularly for primary care, the full potential of the nurse practitioner role is yet to be realised in most countries. Despite this, most countries are working to meet an ageing population’s increasing healthcare needs and reduce healthcare costs and access disparities. Achieving these outcomes requires reform at multiple levels, including nurse practitioner practice pathways, education and regulation, and identifying the barriers and facilitators to optimising their primary care role.

Methods
A rapid scoping review of nurse practitioner practice pathways, education and regulation inclusive of: (1) a systematic search of Medline and CINAHL for peer-reviewed English language articles, including opinion pieces published between January 2015 and February 2022; and (2) a web-based search of nurse practitioner program entry requirements of International Nurse Regulator Collaborative country members with a protected nurse practitioner title and prescribing rights, plus the Netherlands. The individually summarised search data was integrated and synthesised using Popay’s narrative approach.

Results
Emerging evidence from the included nurse practitioner courses (n = 86) and articles (n = 79) suggests nurse practitioners working in primary care provide safe, effective care and improve healthcare efficiencies. However, different regulatory and educational models are required if the primary care nurse practitioner is to meet growing demand.

Conclusions
International variations in entry criteria, curriculum, and regulation shape the global profile of the nurse practitioner primary care workforce and their practice setting. For countries to grow their primary care nurse practitioner workforce to meet unmet needs, different entry requirements, program content and accredited post-registration transitional programs must be urgently considered.
Modeling mortality prediction in older adults with dementia receiving COVID-19 vaccination
Authors: Radomyslsky Zorian , Kivity Sara , Alon Yaniv , Saban Mor 
Published: May 2024

Abstract
Objective
This study compared COVID-19 outcomes between vaccinated and unvaccinated older adults with and without cognitive impairment.

Method
Electronic health records from Israel from March 2020-February 2022 were analyzed for a large cohort (N = 85,288) aged 65 + . Machine learning constructed models to predict mortality risk from patient factors. Outcomes examined were COVID-19 mortality and hospitalization post-vaccination.

Results
Our study highlights the significant reduction in mortality risk among older adults with cognitive disorders following COVID-19 vaccination, showcasing a survival rate improvement to 93%. Utilizing machine learning for mortality prediction, we found the XGBoost model, enhanced with inverse probability of treatment weighting, to be the most effective, achieving an AUC-PR value of 0.89. This underscores the importance of predictive analytics in identifying high-risk individuals, emphasizing the critical role of vaccination in mitigating mortality and supporting targeted healthcare interventions.

Conclusions
COVID-19 vaccination strongly reduced poor outcomes in older adults with cognitive impairment. Predictive analytics can help identify highest-risk cases requiring targeted interventions.
A deep learning-based radiomics model for predicting lymph node status from lung adenocarcinoma
Authors: Xie Hui , Song Chaoling , Jian Lei , Guo Yeang , Li Mei , Luo Jiang , Li Qing , Tan Tao 
Published: May 2024

Abstract
Objectives
At present, there are many limitations in the evaluation of lymph node metastasis of lung adenocarcinoma. Currently, there is a demand for a safe and accurate method to predict lymph node metastasis of lung cancer. In this study, radiomics was used to accurately predict the lymph node status of lung adenocarcinoma patients based on contrast-enhanced CT.

Methods
A total of 503 cases that fulfilled the analysis requirements were gathered from two distinct hospitals. Among these, 287 patients exhibited lymph node metastasis (LNM +) while 216 patients were confirmed to be without lymph node metastasis (LNM-). Using both traditional and deep learning methods, 22,318 features were extracted from the segmented images of each patient's enhanced CT. Then, the spearman test and the least absolute shrinkage and selection operator were used to effectively reduce the dimension of the feature data, enabling us to focus on the most pertinent features and enhance the overall analysis. Finally, the classification model of lung adenocarcinoma lymph node metastasis was constructed by machine learning algorithm. The Accuracy, AUC, Specificity, Precision, Recall and F1 were used to evaluate the efficiency of the model.

Results
By incorporating a comprehensively selected set of features, the extreme gradient boosting method (XGBoost) effectively distinguished the status of lymph nodes in patients with lung adenocarcinoma. The Accuracy, AUC, Specificity, Precision, Recall and F1 of the prediction model performance on the external test set were 0.765, 0.845, 0.705, 0.784, 0.811 and 0.797, respectively. Moreover, the decision curve analysis, calibration curve and confusion matrix of the model on the external test set all indicated the stability and accuracy of the model.

Conclusions
Leveraging enhanced CT images, our study introduces a noninvasive classification prediction model based on the extreme gradient boosting method. This approach exhibits remarkable precision in identifying the lymph node status of lung adenocarcinoma patients, offering a safe and accurate alternative to invasive procedures. By providing clinicians with a reliable tool for diagnosing and assessing disease progression, our method holds the potential to significantly improve patient outcomes and enhance the overall quality of clinical practice.
Gender differences in risk factors for ischemic stroke: a longitudinal cohort study in East China
Authors: Bai Xinping , Li Zifeng , Cai Zhuo , Yao Mingren , Chen Lin , Wang Youmeng 
Published: May 2024

Abstract
Objectives
Epidemiological studies of stroke and its risk factors can help develop strategies to prevent stroke. We aimed to explore the current gender-specific prevalence of stroke and associated risk factors.

Methods
Data were collected using a structured precoded questionnaire designed by the Stroke Screening and Prevention Programme of the National Health and Wellness Commission Stroke Prevention and Control Project Committee, between June 2020 and November 2021. A total of 7394 residents took part in the study, 187 of whom had a stroke. The baseline information of each participant was obtained and included in this study. The chi-square test and Kruskal-Wallis tests were used to examine the relationship between these indicators and stroke, and then multivariate logistic regression was used to construct the prediction scale between different genders.

Results
of 7394 participants,4571 (61.82%) were female. The overall prevalence of stroke patients in the study population was 2.53%, Multivariate analysis found that residence status (OR = 0.43, p = 0.002) 、HCY (OR = 0.962, p = 0.000)、Previous TIA (OR = 0.200, p = 0.002) 、Hypertension (OR = 0.33, p = 0.000) and Dyslipidemia (OR = 0.668, p = 0.028) were significant predictors of stroke. there are gender differences in the traditional risk factors for stroke, and women have more risk factors. ROC analysis confirmed the accuracy of the stroke risk model, and the AUC of the stroke risk model for the general population was 0.79 with p < 0.05. In the gender model, the female AUC was 0.796 (p < 0.05). and the male AUC was 0.786 with p < 0.05.

Conclusion
The prevalence of stroke in adults aged 40 years and above is high in eastern China were high. management of risk factors can effectively prevent the occurrence of most strokes. more attention should be paid to gender differences associated with stroke.
QTc prolongation after aneurysmal subarachnoid hemorrhage might be associated with worse neurologic outcome in patients receiving microsurgical clipping or embolization of the intracranial aneurysms: a retrospective observational study
Authors: Zhang Xinmin , Lei Yang , Nan Ling , Dong Su , Liu Yadong , Yu Jinlu , Xu Kan , Hou Kun , Ma Haichun 
Published: May 2024

Abstract
Purpose
QT interval prolongation is one of the most common electrocardiographic (ECG) abnormalities in patients with aneurysmal subarachnoid hemorrhage (aSAH). Whether corrected QT interval (QTc) prolongation is associated with perioperative cardiac events and dismal neurological outcome in mid to long-term follow-up in patients after aSAH is insufficiently studied and remains controversial.

Methods
We retrospectively studied the adult (≥ 18 years) patients admitted to our institution between Jan 2018 and Dec 2020 for aSAH who underwent intracranial aneurysm clipping or embolization. The patients were divided into 2 groups (normal and QTc prolongation groups) according to their QTc. To minimize the confounding bias, a propensity score matching (PSM) analysis was performed to compare the neurologic outcomes between patients with normal QTc and QTc prolongation.

Results
After screening, 908 patients were finally included. The patients were divided into 2 groups: normal QTc groups (n = 714) and long QTc group (n = 194). Female sex, hypokalemia, posterior circulation aneurysm, and higher Hunt-Hess grade were associated with QTc prolongation. In multiple regression analysis, older age, higher hemoglobin level, posterior circulation aneurysm, and higher Hunt-Hess grade were identified to be associated with worse outcome during 1-year follow-up. Before PSM, patients with QTc prolongation had higher rate of perioperative cardiac arrest or ventricular arrhythmias. After PSM, there was no statistical difference between normal and QTc prolongation groups in perioperative cardiac events. However, patients in the QTc prolongation group still had worse neurologic outcome during 1-year follow-up.

Conclusions
QTc prolongation is associated with worse outcome in patients following SAH, which is independent of perioperative cardiac events.
Maternal and neonatal outcome in pregnant women undergone induction of labor at Muhimbili National Hospital, Dar Es Salaam, Tanzania
Authors: Jaiswal Shweta , Kyejo Willbroad , Kilewo Charles 
Published: May 2024

Abstract
Introduction
Labor induction is a common obstetric intervention aimed at initiating labor when spontaneous onset is delayed or deemed necessary for maternal or fetal well-being. Despite its widespread use, the practice’s impact on maternal and neonatal outcomes remains a subject of ongoing research and debate. This study aims to evaluate the maternal and neonatal outcomes associated with labor induction in a tertiary hospital setting in Tanzania.

Methodology
A descriptive analytical cross-sectional study was conducted over a seven-month period from January 2021 to July 2021 at Muhimbili National Hospital in Dar es Salaam, Tanzania. A total of 120 pregnant women who underwent labor induction during this period were included in the analysis. Data on maternal demographics, obstetric characteristics, indications for induction, methods of induction, labor outcomes, and neonatal outcomes were collected from medical records and analyzed descriptively.

Results
Among 4773 deliveries during the study period, 120 women underwent labor induction, accounting for 120 (2.5%) of all deliveries. The most common indications for induction were postdate pregnancy 60 (50%), hypertensive disorders of pregnancy 38 (31.7%), and premature rupture of membranes 22 (17.5%). The majority of induced women 74 (61.7%) delivered vaginally, with 46 (38.3%) undergoing cesarean section. Maternal complications were minimal, with the most common being failed induction of labor 17 (14.2%). Neonatal outcomes were generally positive, with 120 (100%) of neonates having Apgar scores of 7 or higher at five minutes, although 10 (8.3%) required admission to the neonatal ward for further care.

Conclusion
Labor induction at Muhimbili National Hospital demonstrated favorable maternal and neonatal outcomes, with low rates of maternal complications and positive neonatal Apgar scores. Postdate pregnancy emerged as the most common indication for induction. While the study highlights the benefits of labor induction, its retrospective nature and single-center setting limit the generalizability of findings. Prospective studies with larger sample sizes are warranted to validate these findings and inform evidence-based obstetric practices.
Prognostic value of 17-Gene genomic prostate score in patients with clinically localized prostate cancer: a meta-analysis
Authors: Cui Feilun , Tang Xuan , Man Changfeng , Fan Yu 
Published: May 2024

Abstract
Background
The 17-gene Genomic Prostate Score (GPS) test has been clinically employed to predict adverse prognosis in prostate cancer. In this meta-analysis, we aimed to evaluate the prognostic value of the 17-gene GPS in patients with prostate cancer.

Methods
Potentially relevant studies were obtained by searching PubMed, Web of Science, Embase databases from their inception to December 1, 2023. Studies were considered eligible if they evaluated the association of the 17-gene GPS with distant metastases, biochemical recurrence, or prostate cancer–specific mortality (PCSM) in prostate cancer patients. To estimate the prognostic value, we pooled the adjusted hazard ratio (HR) with 95% confidence intervals (CI) for the high versus low GPS group or per 20-unit increase in GPS.

Results
Seven cohort studies that reported on 8 articles comprising 1,962 patients satisfied the eligibility criteria. Meta-analysis showed that per 20-unit increase in GPS was significantly associated with distant metastases (HR 2.99; 95% CI 1.97–4.53), biochemical recurrence (HR 2.18; 95% CI 1.64–2.89), and PCSM (HR 3.14; 95% CI 1.86–5.30). Moreover, patients with high GPS (> 40 points) had an increased risk of distant metastases (HR 5.22; 95% CI 3.72–7.31), biochemical recurrence (HR 4.41; 95% CI 2.29–8.49), and PCSM (HR 3.81; 95% CI 1.74–8.33) than those with low GPS (≤ 40 points).

Conclusions
A higher 17-gene GPS significantly predicts distant metastases, biochemical recurrence, and PCSM in men with clinically localized prostate cancer. However, large-scale multicenter prospective studies are necessary to further validate these findings.