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Heart diseases are serious global health concerns that could result in many deaths. Detecting and classifying the heart diseases early is crucial for initiating treatment and improving patient outcomes. ECG signals contain valuable information to analyze cardiac functions. It can be argued that techniques of Deep learning (DL) are effective aid to classify ECG signals accurately through learning from large amount of ECG data, ability to extract hidden information, and achieving superior performance in detection heart abnormalities. ECG signals processing involves three phases, preprocessing, extraction features and classification. This paper intends to review several studies published from 2019 to 2024 in this field. It follows a method of comparative analysis, considering specific performance metrics, preprocessing techniques, and the DL model used. The aim is to determine the most accurate DL technique for classifying ECG signals. Eventually, the paper indicated that the debate on the most accurate technique for classification remains ongoing. However , the reviewed studies demonstrated that models based on CNN and RNN can achieve significant level of accuracy in classifying ECG signals. On other hand, according to the conducted comparative analysis, it is recommended to use VGG16 as a classifier for ECG signals. As a suggestion, the complexity of VGG16 can be reduced, allowing for the implementation of a real-time application.

This study was conducted to examine the effects of feed restriction on production performance as well as traits relating to egg and carcass yield in Potchefstroom Koekoek dual purpose chicken bred under Ethiopian conditions. A total of 240 one-day-old dual purpose Koekoek chicks were randomly distributed into 12 experimental pens, representing 4 feeding treatments to evaluate the performance of chicks on body weight and age at onset of laying eggs (AOLE), egg quality, and carcass parameters. Treatments were control (unrestricted feed), R7-28 (restricted feed at 7, 10, 13, 16, 19, 22, 25 and 28 days of age), R35-56 (restricted feed at 35, 38, 41, 44, 47, 50, 53 and 56 days of age) and R63-84 (restricted feed at 63, 66, 69, 72, 75, 78, 81 and 84 days of age) groups. The results showed a significant difference between the control and R63-84 group's birds in both daily and total feed consumption (P < 0.05). There was a significant (P < 0.05) difference in body weight at the end of the starter period, where R63-84 group's birds had a heavier body weight and body weight gain than R7-28 and R35-56 groups' birds, but not control birds. Yolk diameter was significantly lower in R35-56 group than R7-28 and R63-84 groups (P < 0.05). Feed restriction also did not affect slaughter and dressed weight, but the eviscerated weight was significantly lower in R35-56 and R63-84 groups than control (P < 0.05). Feed restriction was associated with production costs of the treatments, and the feeding regime of R63-84 group significantly decreased the amount of feed consumed by birds (P < 0.05). Thus, feed restriction during 63 to 84 days of age (R63-84 group) can be useful because of improving the production profitability of rearing chicks without affecting the AOLE, body weight at AOLE, egg weight, and carcass parameters.

Copyright of Baghdad Science Journal is the property of Republic of Iraq Ministry of Higher Education & Scientific Research (MOHESR) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) which is a positive-sense singlestranded RNA virus from the genus Betacoronavirus causes COVID-19 (coronavirus disease 2019). According to daily reports issued by the Iraqi Ministry of Health, the SARS-COV-2 was firstly detected in Al-Najaf city in February 2020 and identified in the Central Public Health Laboratory (CPHL) in Baghdad, Iraq. The outcomes of this study were based on 100 nasopharyngeal swaps and venous blood samples from hospitalized patients in Al-Kindy and CPHL. Patients were assigned to five groups (Asymptomatic, Mild, Moderate, Severe, and Deceased) based on disease severity as indicated by World Health Organization (WHO). The positive samples were identified by real-time quantitative polymerase chain reaction (RT-PCR) and subjected to some liver enzyme assays and interleukins measurements, and the correlation with the genetic sequence was determined by Illumina Miseq technology. Liver enzymes levels of Aspartate aminotransferase (AST), Alanine aminotransferase (ALT), and lactate dehydrogenase (LDH) showed statistically significant differences, especially between the deceased groups. Interleukins (IL-10, IL-18, and TNF-a) significantly differed among groups. This study revealed that three isolates belonging to the original strain isolated from Wuhan (A19) and characterized by their virulence caused severe symptoms and led to admission to isolation hospitals and intensive care units, and the last two isolates of (UK alpha V1) appeared in Iraq in early 2021. These strains which were less virulent than the Wuhan strain spread faster and appear in moderate and asymptomatic patients. [ABSTRACT FROM AUTHOR]

In this work, we present a new formulation of the dynamic network ow problem using quantum calculus analogue. The classical network model is also obtained by choosing q = 1. In addition, we briey give an introduction to quantum calculus. We give the formulation for dynamic models as well as quantum calculus models. Moreover, we establish a new version of some duality theorems for network ows models in quantum calculus. [ABSTRACT FROM AUTHOR]

In this paper, we develop a time scales approach to formulate and solve linear fractional programming problems. This time scales approach unifies the discrete and continuous linear fractional programming models and extends them to other cases "in between". Our approach enables us to derive a pair of primal and dual linear fractional programming models on arbitrary time scales. We also establish and prove the weak duality theorem and the optimality condition for arbitrary time scales, while the strong duality theorem is established for isolated time scales. Examples are provided to illustrate the presented theory. [ABSTRACT FROM AUTHOR]

In this article I analyse the rituals that transnational migrants who live and work in Europe (mainly Italy) perform in Morocco during their return there for summer holidays. The transnational dimension of rituals and ceremonies reveals the diverse ways in which Moroccan families gain social recognition across transnational space. I explore how migrants construct and display their identities contextually and in opposition to multiple Others. By performing the traditional rituals associated with important turning points in their lives in Morocco, migrants seek to reintegrate themselves and maintain their membership of their community of origin. At the same time, however, these performances bring to the surface a hidden agenda: the assertion and exhibition of migrants' differences with respect to those who have stayed behind. These rituals, which provide a perspective through which to analyse the intersection of global and local interconnections, also reveal complex and shifting interpretations of 'tradition' and 'modernity', and the practices in which these are embedded. I conclude by suggesting that, in this process, migrants develop a creative interplay with 'traditional practices' by subverting, reformulating and giving new creative shape to their meaning and content. [ABSTRACT FROM AUTHOR]