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Olive quick decline syndrome (OQDS) is a disease that has been seriously affecting olive trees in southern Italy since around 2009. During the disease, caused by Xylella fastidiosa subsp. pauca sequence type ST53 (Xf), the flow of water and nutrients within the trees is significantly compromised. Initially, infected trees may not show any symptoms, making early detection challenging. In this study, young artificially infected plants of the susceptible cultivar Cellina di Nardò were grown in a controlled environment and co-inoculated with additional xylem-inhabiting fungi. Asymptomatic leaves of olive plants at an early stage of infection were collected and analyzed using nuclear magnetic resonance (NMR), hyperspectral reflectance (HSR), and chemometrics. The application of a spectranomic approach contributed to shedding light on the relationship between the presence of specific hydrosoluble metabolites and the optical properties of both asymptomatic Xf-infected and non-infected olive leaves. Significant correlations between wavebands located in the range of 530–560 nm and 1380–1470 nm, and the following metabolites were found to be indicative of Xf infection: malic acid, fructose, sucrose, oleuropein derivatives, and formic acid. This information is the key to the development of HSR-based sensors capable of early detection of Xf infections in olive trees.

Objectives Chart review as the current gold standard for phenotype evaluation cannot support observational research on electronic health records and claims data sources at scale. We aimed to evaluate the ability of structured data to support efficient and interpretable phenotype evaluation as an alternative to chart review. Materials and Methods We developed Knowledge-Enhanced Electronic Profile Review (KEEPER) as a phenotype evaluation tool that extracts patient's structured data elements relevant to a phenotype and presents them in a standardized fashion following clinical reasoning principles. We evaluated its performance (interrater agreement, intermethod agreement, accuracy, and review time) compared to manual chart review for 4 conditions using randomized 2-period, 2-sequence crossover design. Results Case ascertainment with KEEPER was twice as fast compared to manual chart review. 88.1% of the patients were classified concordantly using charts and KEEPER, but agreement varied depending on the condition. Missing data and differences in interpretation accounted for most of the discrepancies. Pairs of clinicians agreed in case ascertainment in 91.2% of the cases when using KEEPER compared to 76.3% when using charts. Patient classification aligned with the gold standard in 88.1% and 86.9% of the cases respectively. Conclusion Structured data can be used for efficient and interpretable phenotype evaluation if they are limited to relevant subset and organized according to the clinical reasoning principles. A system that implements these principles can achieve noninferior performance compared to chart review at a fraction of time. [ABSTRACT FROM AUTHOR]

Background: Coronary tortuosity (CT), quantified by our new tortuosity severity index (TSI), strongly predicts anginal pain in patients with normal coronary angiography (CA). The connection between CT and coronary arteriosclerosis is still imprecise. Objectives: The objective was to study CT in patients with coronary artery disease (CAD). Patients and Methods: This is a prospective study at university hospitals between May 2016 and January 2017. We included 331 consecutive patients who underwent CA due to typical chest pain and showed CAD with a lesion >30%. Patients were prospectively divided into two groups based on the presence (n = 186) or absence (n = 145) of significant CAD (=70%) and compared for clinical, echocardiographic, and CA characteristics. The TSI was either significant (mild/moderate CT with >4 curvatures in total or severe/extreme CT with any number of curvatures) or not significant TSI (mild/moderate CT with curvatures =4 curvatures in total). Results: Patients with significant CAD had the highest rate of CT (66% vs. 17%, P = 0.001) and significant TSI (69% vs. 20%, P < 0.001) compared to those without. CT affects the left anterior descending coronary artery in middle and distal segments as a single vessel in 80% of patients. Patients with CT were more commonly females and hypertensives with small body surface area. Multivariate logistic regression analysis identified female gender (odds ratio [OR] = 4.7, confidence interval [CI] = 2.4-8.9) and CT as the main predictors of significant CAD (OR = 6.7, CI = 3.2-14.2). Conclusions: CT with significant TSI is positively related with significant CAD. This finding is more pronounced among hypertensive females with small body surface area. [ABSTRACT FROM AUTHOR]

BACKGROUND: Lymphoblastic lymphoma (LL) comprises approximately 20% of childhood non-Hodgkin lymphoma (NHL); however, few studies had investigated the role of 18F-FDG-PET/CT in pediatric LL patients. We aim in this study to assess the role of 18F-FDG-PET/CT in the initial staging of newly diagnosed pediatric patients with LL as well as in the assessment of response after induction chemotherapy. PATIENTS AND METHODS: A prospective study enrolled biopsy proven newly diagnosed pediatric LL patients presenting in the Children Cancer Hospital Egypt (CCHE) during the period from October 2014 to October 2016. 18F-FDG-PET/CT was done initially before therapy and after induction chemotherapy in all patients. The patients were followed until the end of April 2018 (mean 23.5 months). RESULTS: All lymphoma involvement lesions (n = 43) were FDG avid and the intensity of nodal FDG uptake was variable. Two patients (11%) had bone marrow (BM) involvement by < 25% blast cells with corresponding positive BM focal uptake in 18F-FDG-PET/CT (SUVmax = 4 and 4.5). Evaluation post induction phase; CT detected 8 residual lesions in 8 patients (44.4%), while 18F-FDG-PET/CT detected only 3 Deauville-positive residual lesions in 3 patients (16.6%). No intensification of therapy was done in all post-induction positive patients. Repeated 18F-FDG-PET/CT at week 18 for post-induction patients revealed cleared all Deauville-positive residual lesions. On the other hand, repeated CT at week 18 detected regression but still residual in 4/8 (50%) post-induction CT lesions with clearance of the rest (50%). CONCLUSION: In initial staging, 18F-FDG-PET/CT is a useful tool for disease extent evaluation of pediatric LL. Moreover, it could provide a diagnostic hint for BM involvement. 18F-FDG-PET/CT done after induction therapy has a good negative predictive value with higher specificity than CT alone, but is not an indication for treatment intensification due to false positive results. However, larger sample size is required for better conclusion. [ABSTRACT FROM AUTHOR]

The main objective of this article is to explore empirically the attitudes of civil service leaders in the United Arab Emirates (UAE) towards the policy of Emaratisation of posts in the UAE civil service. Emaratisation refers to the UAE government's policy to localise posts and replace expatriate manpower with national personnel. The article examines the Emaratisation policy in the light of relevant studies and with reference to its major components. It presents and draws conclusions from the responses of civil service leaders to a questionnaire which addressed key dimensions of the policy. [ABSTRACT FROM AUTHOR]

The basic theme of this paper is to trace the pragmatic attempts of different governments in the Sudan to revive the system of native administration. The need for this revival became clear shortly before the overthrow of Nimeiry's government in April 1985. The approaches to this revival followed two main lines. The first approach adopted piecemeal reforms initiated by individual regional governments before 1986. In the second approach the central government adopted a comprehensive strategy to revive native administration. The implications of these attempts and their expected influence on the new multi-party system in the Sudan are briefly analysed in this paper. [ABSTRACT FROM AUTHOR]

Delayed cerebral ischemia (DCI) is a complication seen in patients with subarachnoid hemorrhage stroke. It is a major predictor of poor outcomes and is detected late. Machine learning models are shown to be useful for early detection, however training such models suffers from small sample sizes due to rarity of the condition. Here we propose a Federated Learning approach to train a DCI classifier across three institutions to overcome challenges of sharing data across hospitals. We developed a framework for federated feature selection and built a federated ensemble classifier. We compared the performance of FL model to that obtained by training separate models at each site. FL significantly improved performance at only two sites. We found that this was due to feature distribution differences across sites. FL improves performance in sites with similar feature distributions, however, FL can worsen performance in sites with heterogeneous distributions. The results highlight both the benefit of FL and the need to assess dataset distribution similarity before conducting FL.

Federated Learning (FL) is a machine learning framework that enables multiple organizations to train a model without sharing their data with a central server. However, it experiences significant performance degradation if the data is non-identically independently distributed (non-IID). This is a problem in medical settings, where variations in the patient population contribute significantly to distribution differences across hospitals. Personalized FL addresses this issue by accounting for site-specific distribution differences. Clustered FL, a Personalized FL variant, was used to address this problem by clustering patients into groups across hospitals and training separate models on each group. However, privacy concerns remained as a challenge as the clustering process requires exchange of patient-level information. This was previously solved by forming clusters using aggregated data, which led to inaccurate groups and performance degradation. In this study, we propose Privacy-preserving Community-Based Federated machine Learning (PCBFL), a novel Clustered FL framework that can cluster patients using patient-level data while protecting privacy. PCBFL uses Secure Multiparty Computation, a cryptographic technique, to securely calculate patient-level similarity scores across hospitals. We then evaluate PCBFL by training a federated mortality prediction model using 20 sites from the eICU dataset. We compare the performance gain from PCBFL against traditional and existing Clustered FL frameworks. Our results show that PCBFL successfully forms clinically meaningful cohorts of low, medium, and high-risk patients. PCBFL outperforms traditional and existing Clustered FL frameworks with an average AUC improvement of 4.3% and AUPRC improvement of 7.8%.

Background: Lymphoblastic lymphoma (LL) comprises approximately 20% of childhood non-Hodgkin lymphoma (NHL); however, few studies had investigated the role of 18F-FDG-PET/CT in pediatric LL patients. We aim in this study to assess the role of 18F-FDG-PET/CT in the initial staging of newly diagnosed pediatric patients with LL as well as in the assessment of response after induction chemotherapy., Patients and Methods: A prospective study enrolled biopsy proven newly diagnosed pediatric LL patients presenting in the Children Cancer Hospital Egypt (CCHE) during the period from October 2014 to October 2016. 18F-FDG-PET/CT was done initially before therapy and after induction chemotherapy in all patients. The patients were followed until the end of April 2018 (mean 23.5 months)., Results: All lymphoma involvement lesions (n = 43) were FDG avid and the intensity of nodal FDG uptake was variable. Two patients (11%) had bone marrow (BM) involvement by < 25% blast cells with corresponding positive BM focal uptake in 18F-FDG-PET/CT (SUVmax = 4 and 4.5). Evaluation post induction phase; CT detected 8 residual lesions in 8 patients (44.4%), while 18F-FDG-PET/CT detected only 3 Deauville-positive residual lesions in 3 patients (16.6%). No intensification of therapy was done in all post-induction positive patients. Repeated 18F-FDG-PET/CT at week 18 for post-induction patients revealed cleared all Deauville-positive residual lesions. On the other hand, repeated CT at week 18 detected regression but still residual in 4/8 (50%) post-induction CT lesions with clearance of the rest (50%)., Conclusion: In initial staging, 18F-FDG-PET/CT is a useful tool for disease extent evaluation of pediatric LL. Moreover, it could provide a diagnostic hint for BM involvement. 18F-FDG-PET/CT done after induction therapy has a good negative predictive value with higher specificity than CT alone, but is not an indication for treatment intensification due to false positive results. However, larger sample size is required for better conclusion.

Background: In March, 2016, the UK Government proposed a tiered levy on sugar-sweetened beverages (SSBs; high tax for drinks with >8 g of sugar per 100 mL, moderate tax for 5-8 g, and no tax for <5 g). We estimate the effect of possible industry responses to the levy on obesity, diabetes, and dental caries., Methods: We modelled three possible industry responses: reformulation to reduce sugar concentration, an increase of product price, and a change of the market share of high-sugar, mid-sugar, and low-sugar drinks. For each response, we defined a better-case and worse-case health scenario. We developed a comparative risk assessment model to estimate the UK health impact of each scenario on prevalence of obesity and incidence of dental caries and type 2 diabetes. The model combined data for sales and consumption of SSBs, disease incidence and prevalence, price elasticity estimates, and estimates of the association between SSB consumption and disease outcomes. We drew the disease association parameters from a meta-analysis of experimental studies (SSBs and weight change), a meta-analysis of prospective cohort studies (type 2 diabetes), and a prospective cohort study (dental caries)., Findings: The best modelled scenario for health is SSB reformulation, resulting in a reduction of 144 383 (95% uncertainty interval 5102-306 743; 0·9%) of 15 470 813 adults and children with obesity in the UK, 19 094 (6920-32 678; incidence reduction of 31·1 per 100 000 person-years) fewer incident cases of type 2 diabetes per year, and 269 375 (82 211-470 928; incidence reduction of 4·4 per 1000 person-years) fewer decayed, missing, or filled teeth annually. An increase in the price of SSBs in the better-case scenario would result in 81 594 (3588-182 669; 0·5%) fewer adults and children with obesity, 10 861 (3899-18 964; 17·7) fewer incident cases of diabetes per year, and 149 378 (45 231-262 013; 2·4) fewer decayed, missing, or filled teeth annually. Changes to market share to increase the proportion of low-sugar drinks sold in the better-case scenario would result in 91 042 (4289-204 903; 0·6%) fewer adults and children with diabetes, 1528 (4414-21 785; 19·7) fewer incident cases of diabetes per year, and 172 718 (47 919-294 499; 2·8) fewer decayed, missing, or filled teeth annually. The greatest benefit for obesity and oral health would be among individuals aged younger than 18 years, with people aged older than 65 years having the largest absolute decreases in diabetes incidence., Interpretation: The health impact of the soft drinks levy is dependent on its implementation by industry. Uncertainty exists as to how industry will react and about estimation of health outcomes. Health gains could be maximised by substantial product reformulation, with additional benefits possible if the levy is passed on to purchasers through raising of the price of high-sugar and mid-sugar drinks and activities to increase the market share of low-sugar products., Funding: None.