bluuebunny/crossref_metadata_2025_split huggingface dataset:
Development and validation of risk prediction model for recurrent cardiovascular events among Chinese: the Personalized CARdiovascular DIsease risk Assessment for Chinese model
Authors: Zhou Yekai , Lin Celia Jiaxi , Yu Qiuyan , Blais Joseph Edgar , Wan Eric Yuk Fai , Lee Marco , Wong Emmanuel , Siu David Chung-Wah , Wong Vincent , Chan Esther Wai Yin , Lam Tak-Wah , Chui William , Wong Ian Chi Kei , Luo Ruibang , Chui Celine Sze Ling 
Published: April 2024

Abstract

Aims
Cardiovascular disease (CVD) is a leading cause of mortality, especially in developing countries. This study aimed to develop and validate a CVD risk prediction model, Personalized CARdiovascular DIsease risk Assessment for Chinese (P-CARDIAC), for recurrent cardiovascular events using machine learning technique.

Methods and results
Three cohorts of Chinese patients with established CVD were included if they had used any of the public healthcare services provided by the Hong Kong Hospital Authority (HA) since 2004 and categorized by their geographical locations. The 10-year CVD outcome was a composite of diagnostic or procedure codes with specific International Classification of Diseases, Ninth Revision, Clinical Modification. Multivariate imputation with chained equations and XGBoost were applied for the model development. The comparison with Thrombolysis in Myocardial Infarction Risk Score for Secondary Prevention (TRS-2°P) and Secondary Manifestations of ARTerial disease (SMART2) used the validation cohorts with 1000 bootstrap replicates. A total of 48 799, 119 672 and 140 533 patients were included in the derivation and validation cohorts, respectively. A list of 125 risk variables were used to make predictions on CVD risk, of which 8 classes of CVD-related drugs were considered interactive covariates. Model performance in the derivation cohort showed satisfying discrimination and calibration with a C statistic of 0.69. Internal validation showed good discrimination and calibration performance with C statistic over 0.6. The P-CARDIAC also showed better performance than TRS-2°P and SMART2.

Conclusion
Compared with other risk scores, the P-CARDIAC enables to identify unique patterns of Chinese patients with established CVD. We anticipate that the P-CARDIAC can be applied in various settings to prevent recurrent CVD events, thus reducing the related healthcare burden.
Real-world evaluation of an algorithmic machine-learning-guided testing approach in stable chest pain: a multinational, multicohort study
Authors: Oikonomou Evangelos K , Aminorroaya Arya , Dhingra Lovedeep S , Partridge Caitlin , Velazquez Eric J , Desai Nihar R , Krumholz Harlan M , Miller Edward J , Khera Rohan 
Published: April 2024

Abstract

Aims
An algorithmic strategy for anatomical vs. functional testing in suspected coronary artery disease (CAD) (Anatomical vs. Stress teSting decIsion Support Tool; ASSIST) is associated with better outcomes than random selection. However, in the real world, this decision is rarely random. We explored the agreement between a provider-driven vs. simulated algorithmic approach to cardiac testing and its association with outcomes across multinational cohorts.

Methods and results
In two cohorts of functional vs. anatomical testing in a US hospital health system [Yale; 2013–2023; n = 130 196 (97.0%) vs. n = 4020 (3.0%), respectively], and the UK Biobank [n = 3320 (85.1%) vs. n = 581 (14.9%), respectively], we examined outcomes stratified by agreement between the real-world and ASSIST-recommended strategies. Younger age, female sex, Black race, and diabetes history were independently associated with lower odds of ASSIST-aligned testing. Over a median of 4.9 (interquartile range [IQR]: 2.4–7.1) and 5.4 (IQR: 2.6–8.8) years, referral to the ASSIST-recommended strategy was associated with a lower risk of acute myocardial infarction or death (hazard ratioadjusted: 0.81, 95% confidence interval [CI] 0.77–0.85, P &lt; 0.001 and 0.74 [95% CI 0.60–0.90], P = 0.003, respectively), an effect that remained significant across years, test types, and risk profiles. In post hoc analyses of anatomical-first testing in the Prospective Multicentre Imaging Study for Evaluation of Chest Pain (PROMISE) trial, alignment with ASSIST was independently associated with a 17% and 30% higher risk of detecting CAD in any vessel or the left main artery/proximal left anterior descending coronary artery, respectively.

Conclusion
In cohorts where historical practices largely favour functional testing, alignment with an algorithmic approach to cardiac testing defined by ASSIST was associated with a lower risk of adverse outcomes. This highlights the potential utility of a data-driven approach in the diagnostic management of CAD.
Kinship Taxation as an Impediment to Growth: Experimental Evidence from Kenyan Microenterprises
Authors: Squires Munir 
Published: April 2024

Abstract
This paper documents strong pressure to share income faced by entrepreneurs in a developing country setting. This ‘kinship tax’ can distort productive decisions, including investment. A lab experiment with 361 Kenyan entrepreneurs reveals that a third of them face distortionary pressure to share income. This kinship tax is higher for men, and increasing in entrepreneurial ability. Using a pre-existing randomised cash transfer experiment, I find that only male entrepreneurs who do not face distortionary kinship taxation invest these transfers. Imposing some parametric assumptions, I estimate that kinship taxation decreases aggregate productivity among firms in this sample by one-quarter.
A practical guide to living evidence: reducing the knowledge-to-practice gap
Authors: Allida Sabine M , Hackett Maree L , Lindley Richard , Hill Kelvin , Ferguson Caleb 
Published: April 2024

Abstract
Living evidence involves continuous evidence surveillance to incorporate new relevant evidence into systematic reviews and clinical practice guideline recommendations as soon as it becomes available. Thus, living evidence may improve the timeliness of recommendation updates and reduce the knowledge-to-practice gap. When considering a living evidence model, several processes and practical aspects need to be explored. Some of these include identifying the need for a living evidence model, funding, governance structure, time, team skills and capabilities, frequency of updates, approval and endorsement, and publication and dissemination.
Geographical and climatic distribution of lentil-nodulating rhizobia in Iran
Authors: Dolatabad Hossein Kari , Mahjenabadi Vahid Alah Jahandideh 
Published: April 2024

AbstractLentil is one of the most important legumes cultivated in various provinces of Iran. However, there is limited information about the symbiotic rhizobia of lentils in this country. In this study, molecular identification of lentil-nodulating rhizobia was performed based on 16S–23S rRNA intergenic spacer (IGS) and recA, atpD, glnII, and nodC gene sequencing. Using PCR-RFLP analysis of 16S–23S rRNA IGS, a total of 116 rhizobia isolates were classified into 20 groups, leaving seven strains unclustered. Phylogenetic analysis of representative isolates revealed that the rhizobia strains belonged to Rhizobium leguminosarum and Rhizobium laguerreae, and the distribution of the species is partially related to geographical location. Rhizobium leguminosarum was the dominant species in North Khorasan and Zanjan, while R. laguerreae prevailed in Ardabil and East Azerbaijan. The distribution of the species was also influenced by agroecological climates; R. leguminosarum thrived in cold semiarid climates, whereas R. laguerreae adapted to humid continental climates. Both species exhibited equal dominance in the Mediterranean climate, characterized by warm, dry summers and mild, wet winters, in Lorestan and Kohgiluyeh-Boyer Ahmad provinces.
Protection gaps: child soldier rehabilitation and militarized governance in Sri Lanka
Authors: Macfarlane Kate 
Published: April 2024

Abstract
Child soldier disarmament, demobilization and reintegration (DDR) practice has a strong normative commitment to protect children from harm and violence. However, there exist policy and research knowledge gaps in comprehending the translation of such norms in meeting the social and protective needs of children. In Sri Lanka from 2009, 594 former child soldiers from the Liberation Tamil Tigers of Elam (LTTE) underwent a national rehabilitation programme. National engagement with international child protection norms could not materialize from a militarized governance framework implemented at the end of the civil war. This article provides a primary source of data based on 45 semi-structured interviews with former boy and girl child soldiers from the LTTE. The Sri Lankan case-study demonstrates that the DDR programme resulted in the re-calibration of social and political control over child and adult participants. Former child soldiers' social and protective needs therefore remain complex and unresolved because of state generated structural violence related to poverty and militarization. The article advances a framework to account for a generational power dynamic of adult–child relations, and the politics of institutionalized protection to account for children's formal rehabilitation and return experiences.
Global AI governance: barriers and pathways forward
Authors: Roberts Huw , Hine Emmie , Taddeo Mariarosaria , Floridi Luciano 
Published: April 2024

Abstract
Recent advances in artificial intelligence (AI), combined with a proliferation in use, have led to a newfound emphasis on strengthening the global governance of AI. In this article, we assess the prospects for stronger global AI governance and consider potential pathways forward. We map the nascent landscape of international regimes focused on AI governance and conclude that a governance deficit remains due to the inadequacy of existing initiatives, gaps in the landscape and difficulties reaching agreement over more appropriate mechanisms. First-order cooperation problems stemming from interstate competition and second-order cooperation problems from dysfunctional international institutions problematize overcoming current deficiencies in global AI governance. In light of these cooperation problems, we evaluate two pathways for strengthening global AI governance: (a) developing new centralized international AI institution(s); and (b) strengthening coordination between, and capacities of, existing institutions. We argue that strengthening the existing weak ‘regime complex’ of international institutions is the more politically legitimate and viable path forward. Improving coordination between, and capacities of, existing international institutions governing AI would support inclusive and mutually reinforcing policy change that can mitigate a range of risks associated with these technologies. As first steps for strengthening the weak AI regime complex, we recommend that the OECD is foregrounded as a centre of expert AI knowledge so that it can facilitate peer pressure among states and harmonization of policies. We also encourage scrutiny of different nodes in the regime complex to ensure that they are fulfilling appropriate functions based on their democratic mandates.
An efficient segmentation model for abnormal chicken droppings recognition based on improved deep dual-resolution network
Authors: He Pengguang , Wu Rui , Liu Da , Dou Jun , Hayat Khawar , Shang Dongmei , Pan Jinming , Lin Hongjian 
Published: April 2024

Abstract
The characteristics of chicken droppings are closely linked to their health status. In prior studies, chicken droppings recognition is treated as an object detection task, leading to challenges in labeling and missed detection due to the diverse shapes, overlapping boundaries, and dense distribution of chicken droppings. Additionally, the use of intelligent monitoring equipment equipped with edge devices in farms can significantly reduce manual labor. However, the limited computational power of edge devices presents challenges in deploying real-time segmentation algorithms for field applications. Therefore, this study redefines the task as a segmentation task, with the main objective being the development of a lightweight segmentation model for the automated monitoring of abnormal chicken droppings. A total of 60 Arbor Acres broilers were housed in 5 specific pathogen-free cages for over 3 wk, and 1650 RGB images of chicken droppings were randomly divided into training and testing sets in an 8:2 ratio to develop and test the model. Firstly, by incorporating the attention mechanism, multi-loss function, and auxiliary segmentation head, the segmentation accuracy of the DDRNet was enhanced. Then, by employing the group convolution and an advanced knowledge-distillation algorithm, a lightweight segmentation model named DDRNet-s-KD was obtained, which achieved a mean Dice coefficient (mDice) of 79.43% and an inference speed of 86.10 frames per second (FPS), showing a 2.91% and 61.2% increase in mDice and FPS compared to the benchmark model. Furthermore, the DDRNet-s-KD model was quantized from 32-bit floating-point values to 8-bit integers and then converted to TensorRT format. Impressively, the weight size of the quantized model was only 13.7 MB, representing an 82.96% reduction compared to the benchmark model. This makes it well-suited for deployment on the edge device, achieving an inference speed of 137.51 FPS on Jetson Xavier NX. In conclusion, the methods proposed in this study show significant potential in monitoring abnormal chicken droppings and can provide an effective reference for the implementation of other agricultural embedded systems.
Could it Happen in the EU? An Analysis of Loss Distribution between Shareholders and AT1 Bondholders under EU Law
Authors: Ellingsæter Sjur Swensen 
Published: April 2024

Abstract
In March 2023, the Swiss bank Credit Suisse’s so-called Additional Tier 1 (AT1) bonds were written down to facilitate the bank being taken over by UBS, its national rival. Ensuing discussion and market reactions went well beyond Swiss borders, as the write-down was completed without Credit Suisse’s shareholders first being wiped out, thereby deviating from the principle that shareholders bear losses ahead of all other investors. This article asks whether such an outcome is possible under EU law. A comprehensive analysis demonstrates how this question is governed by the combined operation of contractual clauses and the resolution authority’s statutory powers. Combining applicable EU law with empirical analysis of contractual terms employed by EU banks issuing AT1 bonds and their capital requirements, the article argues that an outcome akin to that of the Credit Suisse write-down is unlikely for EU banks. Building on this analysis, it is shown what reform is needed if EU policymakers consider it desirable to have AT1 bonds absorb losses outside of cases requiring intervention by the resolution authority.
A Novel Technique of Total Scrotal Resurfacing with NovoSorb Biodegradable Temporizing Matrix for Testicular Preservation
Authors: Chia Jake , Vandervord Elle , Seyedabadi Maryam 
Published: April 2024

Summary:
The reconstruction choice of scrotal defects after Fournier gangrene has been routinely based on the reconstructive ladder. Defects are usually managed with either skin-grafting or regional flaps to achieve testicular coverage. However, skin grafting done directly to testes may lead to chronic pain issues, and skin flaps can potentially be too thick to achieve good temperature control for spermatogenesis. We present the first reported case of total scrotal resurfacing after Fournier gangrene in a 48-year-old patient with NovoSorb Biodegradable Temporizing Matrix. The patient showed a good cosmetic outcome with no residual pain issues. Further research is recommended to further investigate the long-term effects of scrotal reconstruction with Biodegradable Temporizing Matrix.
Long COVID—ACOEM Guidance Statement
Authors: Stave Gregg M. , Nabeel Ismail , Durand-Moreau Quentin 
Published: April 2024

Abstract
Persistent symptoms are common after acute COVID-19, often referred to as long COVID. Long COVID may affect the ability to perform activities of daily living, including work. Long COVID occurs more frequently in those with severe acute COVID-19. This guidance statement reviews the pathophysiology of severe acute COVID-19 and long COVID and provides pragmatic approaches to long COVID symptoms, syndromes, and conditions in the occupational setting. Disability laws and workers’ compensation are also addressed.
The Clinical Impact of the 4Kscore Test on Prostate Biopsy Decision Making in the Setting of MRI
Authors: Wang Johnny C. , Vetter Joel M. , Kim Eric H. , Gross James T. , Henning Grant M. 
Published: April 2024

Introduction:
Biomarkers are often used in conjunction with MRI to improve the specificity of prostate cancer screening. Our objective was to evaluate the real-world utility of the 4Kscore test in the setting of MRI. We explored the association of the 4Kscore test with the decision to pursue prostate biopsy and its contribution to the accurate detection of clinically significant prostate cancer.

Methods:
We retrospectively analyzed patients undergoing the 4Kscore test and MRI for consideration of prostate biopsy. Multivariable logistic regression was used to model the association of 4Kscore with the decision to pursue biopsy. Receiver-operating characteristic curves were used to calculate the AUC of 4Kscore alone, PSA with MRI, and 4Kscore with MRI for detection of Gleason Grade Group ≥ 2 (GG ≥ 2) prostate cancer.

Results:
Of 442 patients, 311 (70%) proceeded to biopsy. 4Kscore was associated with the decision to pursue biopsy for continuous (odds ratio [OR] 1.05 per 1-point increase in 4Kscore, 95% confidence interval [CI] 1.02-1.07; P < .001) and categorical (high-risk 4Kscore: OR 16.1, 6.62-39.3, P < .001; intermediate-risk 4Kscore: OR 6.89, 95% CI 3.15-15.1; P < .01) models. For the detection of GG ≥ 2 prostate cancer, the AUC of 4Kscore with MRI (AUC = 0.866) was superior to 4Kscore alone (AUC = 0.800, P < .001) and PSA with MRI (AUC = 0.792, P < .001).

Conclusions:
In patients with MRI, the 4Kscore is associated with the decision to pursue prostate biopsy and augments the accurate prediction of GG ≥ 2 prostate cancer. Our findings suggest 4Kscore provides independent information as an adjunct to MRI for real-world clinical decision making.
Factors affecting timing of hypothyroidism following radioactive iodine therapy (RAIT) for patients with Graves’ disease: A 12-month observational study
Authors: Mahmoud Hemat Abdelsamea , Alsanory Aya Abdel-baset Ahmed Ali , Mostafa Hanan Gamal-eldin , Hassan Esraa Roshdy 
Published: April 2024

Background
This retrospective study analyzed factors influencing hypothyroidism development after radioactive iodine therapy for Graves’ disease.

Patients and methods
Three hundred and three patients with Graves’ disease treated with radioactive iodine (RAI) from 2013 to 2022 at two Egyptian hospitals were included. Data collected included demographics, lab values, thyroid imaging, RAI doses, and outcomes. Patients were followed for ≥1 year to assess hypothyroidism onset.

Results
At the end of 1 year, around 79.5% of the individuals developed hypothyroidism while 12.5% continued to experience hyperthyroidism. The onset of hypothyroidism occurred earlier in those with thyroid volume (≤75.5 cm3), lower thyroid weight (≤84.7 g), thyroid uptake (≤18.8%), and higher RAI dose/volume (≥0.1022 mCi/ml) (P < 0.001). Additionally, there was a correlation between anti-thyroid peroxidase (anti-TPO) antibodies and faster development of hypothyroidism compared to those who were negative for antibodies (2.9 vs 8.9 months, P = 0.001). When considering factors in analysis it was found that anti-TPO antibodies were the only independent predictor, for developing hypothyroidism (hazard risk 30.47, P < 0.001). Additionally, thyroid volume and uptake independently predicted successful treatment outcomes (P < 0.05).

Conclusion
Positive anti-TPO antibodies strongly predict hypothyroidism risk after RAI therapy for Graves’ disease. Smaller thyroid size, lower uptake, and higher RAI dose/volume correlate with earlier hypothyroidism onset but are less significant predictors than anti-TPO status. Findings can guide RAI therapy personalization to optimize outcomes.
The One Pill Can Kill Myth
Authors: Tenenbein Milton 
Published: April 2024

Abstract
“One Pill Can Kill” is a meme originating in the 1990s. This construct lists pharmaceuticals that have the alleged potential for fatality after the ingestion of a single pill by a toddler. However, its foundation is fundamentally flawed because it contravenes a basic principle of pediatric pharmacology, allometric scaling. Other than opioids, there are no literature examples of one pill killing a toddler. The negative outcome of the one pill can kill construct is inappropriate management manifested by over-referral of young children by poison centers to emergency departments for care, overly prolonged emergency department observation and needless hospital admissions. A more accurate construct is that one pill of anything other than opioids will not kill anybody with the caveat being that we are referring to regulated pharmaceuticals.
Orthognathic Surgery Trending: Retrospective Ten Years Cases Analysis in Nineveh Province, Iraq
Authors: Al-Rawee Rawaa Y. , Tawfeeq Bashar A. , Tawfek Zaid S. 
Published: April 2024

Aims:
The study aimed at analyzing patient’s case sheets in regard to the incidence of skeletal discrepancy present in cases and its relation with the demographic profile of the sample. All these are chronicled for more than 10 years periods.

Methodology:
This is a retrospective study analysis of the orthognathic case sheets for more than 10 years period. The total numbers of patients are 678. Patient’s case sheet was already prepared by the Multi-Disciplinary Team Orthognathic Surgery Clinic in Al-Salam Teaching Hospital, which is the only authorized committee in Nineveh Health Directorate.

Results:
The highest age percentage is between (18 and 27 y/76%). Angle class III cases are the uppermost cases (36%) from the total. A significant P value is clear at the level ≤0.05 and ≤0.01 between surgery type and discrepancy in anterior segmental osteotomies (upper and lower) which is performed in bi-maxillary protrusion cases and Angle class II cases (0.01**). Similarly, anterior segmental osteotomies (upper jaw only) which are indicated in both open bite and Angle Class II cases documented as a statistically significant P value (0.02*). The positive correlation is shown in all variables with the disharmony or facial discrepancies. Esthetic and beauty as causes for treatment recorded more than function in relation to time series.

Conclusion:
This study documents that patients with skeletal class III accounted for the largest percentage (64%) in the study group. A high increase in patients number seeking treatment for their discrepancy is obvious with time from 2009 till 2022.