Comparison of fatty acid profile and mineral content of black mulberry (Morus nigra), white mulberry (Morus alba) and red mulberry (Morus rubra) grown in Bahrain

This is the final version. Available on open access from Elsevier via the DOI in this recordAvailability of data and materials: Data available within the article or its supplementary materials.Mulberries are a rich source of many nutrients and have various health-promoting benefits. Nevertheless, their growth conditions can influence their nutritional composition and thus their benefits. Thus, this study examines the fatty acid profile and mineral content of three mulberry varieties: black (Morus nigra L.), white (Morus alba L.), and red (Morus rubra L.) grown in Bahrain for the first time. Fatty acid analysis, using gas chromatography-flame ionization detector (GC-FID), revealed that linoleic acid (C18:2n6) and palmitic acid (C16:0) were the primary fatty acids present in mulberry fruits, while minor fatty acids varied among the cultivars. Black mulberries exhibited a composition of 33.08 % saturated fatty acids (SFAs) and 66.92 % unsaturated fatty acids (UFAs), while red mulberries had 34.48 % SFAs and 66.52 % UFAs, and white mulberry had 27.15 % SFAs and 72.85 % UFAs. The mineral content analysis using inductively coupled plasma-optical emission spectroscopy (ICP-OES) revealed variations in the content of magnesium (Mg), iron (Fe), sodium (Na), potassium (K), and calcium (Ca) among the mulberry varieties. Black mulberries displayed the highest levels of Mg (706.67 mg/100 g), Fe (31.33 mg/100 g), Na (1406 mg/100 g), K (4161.33 mg/100 g), and Ca (1008.67 mg/100 g). Mulberries reported moderate levels of Mg (442.33 mg/100 g), Fe (45.6 mg/100 g), Na (635.68 mg/100 g), K (3278 mg/100 g), and Ca (583.1 mg/100 g). These findings indicate that black mulberries exhibit a superior mineral content across all parameters, whereas red mulberry has lower levels among the three varieties

A new predictor-corrector approach for the numerical integration of coupled electromechanical equations

In this paper, a new approach for the numerical solution of coupled electromechanical problems is presented. The structure of the considered problem consists of the low-frequency integral formulation of the Maxwell equations coupled with Newton-Euler rigid-body dynamic equations. Two different integration schemes based on the predictor-corrector approach are presented and discussed. In the first method, the electrical equation is integrated with an implicit single-step time marching algorithm, while the mechanical dynamics is studied by a predictor-corrector scheme. The predictor uses the forward Euler method, while the corrector is based on the trapezoidal rule. The second method is based on the use of two interleaved predictor-corrector schemes: one for the electrical equations and the other for the mechanical ones. Both the presented methods have been validated by comparison with experimental data (when available) and with results obtained by other numerical formulations; in problems characterized by low speeds, both schemes produce accurate results, with similar computation times. When high speeds are involved, the first scheme needs shorter time steps (i.e., longer computation times) in order to achieve the same accuracy of the second one. A brief discussion on extending the algorithm for simulating deformable bodies is also presented. An example of application to a two-degree-of-freedom levitating device based on permanent magnets is finally reported

Effect of Systemic Hypertension With Versus Without Left Ventricular Hypertrophy on the Progression of Atrial Fibrillation (from the Euro Heart Survey).

Hypertension is a risk factor for both progression of atrial fibrillation (AF) and development of AF-related complications, that is major adverse cardiac and cerebrovascular events (MACCE). It is unknown whether left ventricular hypertrophy (LVH) as a consequence of hypertension is also a risk factor for both these end points. We aimed to assess this in low-risk AF patients, also assessing gender-related differences. We included 799 patients from the Euro Heart Survey with nonvalvular AF and a baseline echocardiogram. Patients with and without hypertension were included. End points after 1 year were occurrence of AF progression, that is paroxysmal AF becoming persistent and/or permanent AF, and MACCE. Echocardiographic LVH was present in 33% of 379 hypertensive patients. AF progression after 1 year occurred in 10.2% of 373 patients with rhythm follow-up. In hypertensive patients with LVH, AF progression occurred more frequently as compared with hypertensive patients without LVH (23.3% vs 8.8%, p = 0.011). In hypertensive AF patients, LVH was the most important multivariably adjusted determinant of AF progression on multivariable logistic regression (odds ratio 4.84, 95% confidence interval 1.70 to 13.78, p = 0.003). This effect was only seen in male patients (27.5% vs 5.8%, p = 0.002), while in female hypertensive patients, no differences were found in AF progression rates regarding the presence or absence of LVH (15.2% vs 15.0%, p = 0.999). No differences were seen in MACCE for hypertensive patients with and without LVH. In conclusion, in men with hypertension, LVH is associated with AF progression. This association seems to be absent in hypertensive women

Progression From Paroxysmal to Persistent Atrial Fibrillation. Clinical Correlates and Prognosis

Objectives: We investigated clinical correlates of atrial fibrillation (AF) progression and evaluated the prognosis of patients demonstrating AF progression in a large population. Background: Progression of paroxysmal AF to more sustained forms is frequently seen. However, not all patients will progress to persistent AF. Methods: We included 1,219 patients with paroxysmal AF who participated in the Euro Heart Survey on AF and had a known rhythm status at follow-up. Patients who experienced AF progression after 1 year of follow-up were identified. Results: Progression of AF occurred in 178 (15%) patients. Multivariate analysis showed that heart failure, age, previous transient ischemic attack or stroke, chronic obstructive pulmonary disease, and hypertension were the only independent predictors of AF progression. Using the regression coefficient as a benchmark, we calculated the HATCH score. Nearly 50% of the patients with a HATCH score >5 progressed to persistent AF compared with only 6% of the patients with a HATCH score of 0. During follow-up, patients with AF progression were more often admitted to the hospital and had more major adverse cardiovascular events. Conclusions: A substantial number of patients progress to sustained AF within 1 year. The clinical outcome of these patients regarding hospital admissions and major adverse cardiovascular events was worse compared with patients demonstrating no AF progression. Factors known to cause atrial structural remodeling (age and underlying heart disease) were independent predictors of AF progression. The HATCH score may help to identify patients who are likely to progress to sustained forms of AF in the near future. \ua9 2010 American College of Cardiology Foundation

Using UML for modelling cross-cutting concerns in aspect oriented software engineering

This paper discusses the use of UML artefacts to model cross-cutting concerns in Web application development. The concept of aspect-oriented design is discussed in the context of separating concerns for the development of Web based applications. Current approaches in the use of UML diagrams to support aspect-oriented design are discussed and evaluated in terms of their ability to support the specification, change, maintenance, testing and reuse of aspects during requirements elicitation and throughout the software engineering life cycle. An approach based on UML activity diagrams is proposed, discussed and evaluated. This approach focuses on the use of "swim lanes" for capturing business requirements and the use of "pluggable" business rules to capture and separate aspects within the overall business process

Colonic perforation in a child with crohn\u2019s disease: successful medical treatment can rescue from colectomy.

Background: The challenging treatment of penetrating paediatric Crohn\u2019s disease (CD) involves pharmacological and surgical approaches [1 122]. Despite a proved efficacy of anti-TNF agents for treatment of complex fistula, a large number of patients cannot achieve a complete healing and relapses during the follow-up [3]. Specific aim: We report a paediatric case with CD and colonic perforation who was successfully treated with medical therapy only, including anti-TNFa. Case Report: During a colonoscopy performed on a 9 year old girl with CD, a perforation occurred in correspondence of the splenic flexure. A laparoscopic suture of the colonic wall was required. The formation of a peri-splenic and retro-colonic collection was then detected (US, enteric-CT), with concomitant appearance of fever and severe increase in the inflammation markers. Images also demonstrated a fistula connecting the colon to the collection. The girl was kept fasting and treated with total parenteral nutrition and antibiotic therapy. The dimensions of the collection decreased progressively at control images within two months. Treatment with infliximab was started according to the standard schedule, and after the third dose a US control showed disappearance of the collection and complete healing of the enteric fistula. Parenteral nutrition was progressively substituted with enteral feeding and no surgical treatments have been needed as yet. The girl is gaining weight and is maintaining good general conditions. Discussion: In pubertal children with CD, the option of an efficacious medical treatment to avoid a major surgical approach on the bowel (colectomy, ileostomy) is to be aimed for growth improvement. This approach requires a strictly monitored long-term follow-up. Reference(s) [1] Vermeire S, Van Assche G, Rutgeerts P. Review article: altering the natural histoty of Crohn\u2019s disease 12 evidence for and against current therapies. Aliment Pharmacol Ther 2006; 25: 3 1212. [2] Gupta N, Bostrom AG, Kirschner BS, Ferry GD, Gold BD, Cohen SA, Winter HS, Baldassano RN, Abramson O, Smith T, Heyman MB. Incidence of stricturing and penetrating complications of Crohn\u2019s disease diagnosed in pediatric patients. Inflamm Bowel Dis 2010; 16(4): 638 1244. [3] Gupta N, Cohen SA, Bostrom AG, Kirschner BS, Baldassano RN, Winter HS, Ferry GD, Smith T, Abramson O, Gold BD, Heyman MB. Risk factors for initial surgery in pediatric patients with Crohn\u2019s disease. Gastroenterology 2006; 130(4): 1069 1277

Convolutional Neural Network - Long Short Term Memory based IOT Node for Violence Detection

Violence detection has been investigated extensively in the literature. Recently, IOT based violence video surveillance is an intelligent component integrated in security system of smart buildings. Violence video detector is a specific kind of detection models that should be highly accurate to increase the model's sensitivity and reduce the false alarm rate. This paper proposes a novel architecture of end-to-end CNN-LSTM (Convolutional Neural Network - Long Short-Term Memory) model that can run on low-cost Internet of Things (IOT) device such as raspberry pi board. The paper utilized CNN to learn spatial features from video's frames that were applied to LSTM for video classification into violence/non-violence classes. A complex dataset including two public datasets: RWF-2000 and RLVS-2000 was used for model training and evaluation. The challenging video content includes crowds and chaos, small object at far distance, low resolution, and transient action. Additionally, the videos were captured in various environments such as street, prison, and schools with several human actions such as eating, playing basketball, football, tennis, and swimming. The experimental results show good performance of the proposed violence detection model in terms of average metrics having an accuracy of 73.35 %, recall of 76.90 %, precision of 72.53 %, F1 score of 74.01 %, false negative rate of 23.10 %, false positive rate of 30.20 %, and AUC of 82.0 %. The proposed CNN-LSTM can balance good performance with low number of parameters and thus can be implemented on low-cost IOT node