Suchergebnisse

Falahu Village is one of the villages in Sanana District, Sula Islands Regency which is the main target in PHP2D activities located in a very wide coastal area and has natural potential that can enable and support maritime-based learning processes. The aim of the maritime-based learning program is to help introduce teachers to PAUD units and the community in the Sula Islands Regency to the importance of maritime-based learning. By increasing Human Resources (HR) in the field of education and utilization of natural resources and providing knowledge to children through learning media and coastal APE. The implementation of activities is carried out in August-October 2021. The method of implementing Maritime-based learning program activities includes 3 stages, namely: Planning and preparation, implementation, and evaluation. The activity was carried out through socialization and seminars involving several teachers in the Sula Islands Regency area as well as involving villagers and the education office. Workhsop workshop activities aim to provide information, understanding, knowledge and skills to participants in the preparation of learning tools and maritime-based educational game tools. Participants in the Maritime-Based Learning Program are PAUD educators in the Coastal area of Sanana District. The results obtained during the activity were the support from the local government, especially the Education Office, the Falahu Village Head and the PAUD Heads in the Sanana sub-district. The success of this program can be obtained from the reflection results from filling out the questionnaire which shows that after participating in the activity participants can gain knowledge and experience in the preparation of learning tools, teacher interest in the application of maritime learning, as well as discovering new things in the manufacture of learning media and APE from potential natural.

AbstractIntroductionFamilial Mediterranean fever (FMF) is an episodic inflammatory disease that is inherited as an autosomal recessive trait. It is primarily featured by fever, pain in joints, chest, and abdomen due to Serositis.AimThis study delineated the oro‐facial structures presented associated with FMF, as well as, the determination of the potential influences of the long‐term inflammatory process of FMF on several oral structures.MethodsFifty eight Egyptian FMF patients were examined to define different oro‐facial structures. Serum amyloid A (SAA) was requested for the selected patients, MEFV gene mutation was also investigated.ResultsThe clinical examination revealed peritonitis in 79%, fever in 63.7%, and arthritis in 55% of FMF patients examined, while, oral features as high arched palate, enamel defect, dental malocclusion, and macroglossia in 32%, 27.5%. 26%, and 13.5%, respectively. The previous symptoms might be attributed to the pathology of the disease. Macroglossia when tested versus SAA levels, a highly significant difference was detected. The ROC curve when examining the SAA value to assess macroglossia, displayed reasonable sensitivity and specificity values of, 87.5% and 77.8%, respectively.ConclusionThe noticed oro‐dental in FMF patients might be influenced by the chronic inflammatory process.

  ; Wireless Sensor Networks (WSNs) became essential in developing many applications, including smart cities and Internet of Things (IoT) applications. WSN has been used in many critical applications such as healthcare, military, and transportation. Such applications depend mainly on the performance of the deployed sensor nodes. Therefore, the deployment process has to be perfectly arranged. However, the deployment process for a WSN is challenging due to many of the constraints to be taken into consideration. For instance, mobile nodes are already utilized in many applications, and their localization needs to be considered during the deployment process. Besides, heterogeneous nodes are employed in many recent applications due to their efficiency and cost-effectiveness. Moreover, the development areas might have different properties due to their importance. Those parameters increase the deployment complexity and make it hard to reach the best deployment scheme. This work, therefore, seeks to discover the best deployment plan for a WSN, considering these limitations throughout the deployment process. First, the deployment problem is defined as an optimization problem and mathematically formulated using Integer Linear Programming (ILP) to understand the problem better. The main objective function is to maximize the coverage of a given field with a network lifetime constraint. Nodes' mobility and heterogeneity are added to the deployment constraints. The importance of the monitored field subareas is also introduced in this paper, where some subareas could have more importance than others. The paper utilizes Swarm Intelligence as a heuristic algorithm for the large-scale deployment problem. Simulation experiments show that the proposed algorithm produces efficient deployment schemes with a high coverage rate and minimum energy consumption compared to some recent algorithms. The proposed algorithm shows more than a 30% improvement in coverage and network lifetime. 

A novel weighted rough set-based classification approach is introduced for the evaluation of fetal nature acquired from a CardioTocoGram (CTG) signal. The classification is essential to anticipate newborn's well-being, particularly for the life-threatening cases. CTG monitoring comprises of electronic fetal heart rate (FHR), fetal activities and the uterine contraction (UC) signals. These signals are extensively used as a part of the pregnancy and give extremely significant data on fetal health. The obtained data from these recordings can be utilized to anticipate the condition of the newborn baby, which gives an open door for early medication before perpetual deficiency to the fetus. The dimension of the obtained features from CTG is high and decreases the accuracy of classification algorithms. In this article, supervised particle swarm optimization (PSO) with a rough set-based dimensionality reduction method is used to find a minimal set of significant features from CTG extracted features. The proposed weighted rough set classifier (WRSC) method is utilized for predicting the fetal condition as normal and pathological states. The performance of the proposed WRSC algorithm is compared with various classification algorithms such as bijective soft set neural network classifier (BISONN), rough set-based classifier (RST), multi-layered perceptron (MLP), decision table (DT), Java repeated incremental pruning (JRIP) classifier, J48 and Naïve Bayes (NB) classifiers. The experimental results demonstrated that the proposed algorithm is capable of forecasting the fetal state with 98.5% classification accuracy, and the results show that the proposed classification algorithm performed considerably superior than other classification techniques.

This paper presents a general framework for planning a multipurpose robot which can be used in multiple fields (both civil and military). The framework shows the assembly of multiple sensors, mechanical arm, live video streaming and high range remote control and so on in a single robot. The planning problem is one of five fundamental challenges to the development of a real robotic system able to serve both purposes related to military and civil like live surveillance(both auto and manual), rescuing under natural disaster aftermath, firefighting, object picking, hazard like ignition, volatile gas detection, exploring underground mine or even terrestrial exploration. Each of the four other areas – hardware design, programming, controlling and artificial intelligence are also discussed.

The rules governing Medicinal Products in the European Union necessitates the production of cell-based therapy in good manufacturing practice facilities. The produced cells may need several hours in transportation to reach the application sites. In this study, we investigated four candidate solutions for transporting human keratinocytes. The solutions are (1) normal saline, (2) saline with 2.5% human serum albumin (Saline + HSA), (3) chemically defined, xeno-free keratinocyte media and (4) keratinocyte media with pituitary bovine extract (PBE-media). One million keratinocytes from three donors were suspended in each solution and kept at 4 °C for up to 24 h. Cells kept in Saline + HSA showed higher viability after 1, 3 and 24 h. Then, equal number of viable cells were seeded on collagenous matrix and cultured for 48 h. The adhesion and colonization were higher in the cells kept in PBE-media, while the keratinocyte surface marker, cytokeratin 14, was present in all studied groups. These results confirmed the suitability of Saline + HSA as a cell transportation solution for clinical use, which will be the choice for the planned clinical trial. Keratinocyte PBE-media can be an alternative for cells transported for research purpose, if the same media type is going to be used in the following experiments. ; Funding: Open Access funding provided by Linköping University Library