Enhanced Arabic disaster data classification using domain adaptation

Natural disasters, like pandemics and earthquakes, are some of the main causes of distress and casualties. Governmental crisis management processes are crucial when dealing with these types of problems. Social media platforms are among the main sources of information regarding current events and public opinion. So, they have been used extensively to aid disaster detection and prevention efforts. Therefore, there is always a need for better automatic systems that can detect and classify disaster data of social media. In this work, we propose enhanced Arabic disaster data classification models. The suggested models utilize domain adaptation to provide state-of-the-art accuracy. We used a standard dataset of Arabic disaster data collected from Twitter for testing the proposed models. Experimental results show that the provided models significantly outperform the previous state-of-the-art results

Analysis of Performance Parameters of Amorphous Photovoltaic Modules under Different Environmental Conditions

The effects of temperature and radiation intensity on the performance parameters of amorphous hydrogenated silicon (a-Si:H) photovoltaic module have been investigated. An outdoor experimental setup is installed to carryout a series of I-V curve measurements under different irradiance and temperature conditions for the module. A numerical model which considers the effect of series and shunt resistances is developed to evaluate the different parameters of PV modules. Orthogonal distance regression (ODR) algorithm is adapted for fitting I-V measurements and extracting module parameters from I-V measurements. The values of module parameters, series resistance Rs, shunt resistance Rsh, diode ideality factor n and reverse saturation current Io determined from I-V measurements at different irradiation intensity and temperature range are in good agreement with the corresponding parameters obtained from the developed numerical model. The module parameters extracted from I-V measurements are employed to calculate the module performance parameters, i.e. open circuit voltage Voc, fill factor FF and module efficiency h at different irradiation intensity and temperature range. Present results indicate that the module parameters have a significant effect on module performance. Also, the behavior of Voc is completely different at higher temperatures.Key words: Amorphous module parameters;  Ideality factor; Series resistance; Shunt resistanc

The function and formal dynamic of the typical stories in high buildings

Sees that the essence of the formation and the high building production based to the function, which in turn affected and changed levels by change the shape of building at any moment of the vertical and horizontal extending, and most of this, the high buildings has seen formative developments, especially in multi floors, structure, capacity of spaces, and functions for those floors that recognized by the first beginnings of high buildings forms. These developments mostly been grader to produce sculptural forms make them different from traditional high buildings, that this formality change effect in the level of function and their types or at the level of the comparison between the building floors itself and extended over to the building performance and their urban integration. Thus crystallize the research problem in the lack of studies which dealt the efficiency of high buildings formation, which in turn formed the intercalation phenomena on the cities, without any common features between them and the fabric of the city, and with the horizontal towers. The create dynamic formalities creates rearrange the four varieties function (usability - structural - Environmental - Iconic), thus creating a functional dynamic that rearranges the levels of dominance function on those changing floors , so the search was divided into three sections are: 1 - Function and their types. 2 - Performing and dynamic formal and urban integration. 3 - practical study of a global project (Norman Foster), and three proposed architectural projects for architecture students /AL-Nahrain University / 2013. Thus the research adopted on two hypotheses, the first: that the four function are mainly in the form of high buildings production, and the second: that the formal change of the building floors involves a functional change, according to the previous classifications. Research benefit lies in: - Strengthening go towards the high buildings that have strong function and form, thought full in terms of mutual changes. - Evaluation the projects for proposed high buildings. - Call to raise the performing efficiency and urban integration

MICROPROPAGATION AND ASSESSMENT OF GENETIC FIDELITY OF REGENERATE BY RAPD MARKERS OF SOLANUM NIGRUM

In vitro propagation approach has been adopted for micropropagation and conservation of Solanum nigrum (black nightshade) to guarantee its sustainable phyto-industry and research availability. Within 1 month, in vitro shoot differentiated was accomplished by culturing shoot tip, nodal segment, and leaf on MS medium enriched with various BA (Benzyl Adenine) concentrations. A significant difference was observed with shoot tips compared with nodal explants and leaf at the shoot induction percentage and mean number of shoot per explant. The highest percentage of shoot induction (100%) and average number of micro shoot per shoo tip (9.200 shoot) were recorded on MS medium fortified with 1 mg/l BA. The findings showed that a satisfactory rooting percentage (100%) was recorded when I mg/l IBA (Indole Butyric Acid) added to half MS medium with  an average number of roots (2.600) root/shoot, a mean root length is 8.600cm. rooted plantlets could be successfully acclimatized in the shade house with 100% survival rate. The genetic stability of the micropropagated plants investigated by the RAPD markers indicated monomorphic and true to type when compare with the original plant

Enhanced Arabic disaster data classification using domain adaptation

Natural disasters, like pandemics and earthquakes, are some of the main causes of distress and casualties. Governmental crisis management processes are crucial when dealing with these types of problems. Social media platforms are among the main sources of information regarding current events and public opinion. So, they have been used extensively to aid disaster detection and prevention efforts. Therefore, there is always a need for better automatic systems that can detect and classify disaster data of social media. In this work, we propose enhanced Arabic disaster data classification models. The suggested models utilize domain adaptation to provide state-of-the-art accuracy. We used a standard dataset of Arabic disaster data collected from Twitter for testing the proposed models. Experimental results show that the provided models significantly outperform the previous state-of-the-art results

Phenobarbital and Phototherapy Combination Enhances Decline of Total Serum Bilirubin and May Decrease the Need for Blood Exchange Transfusion in Newborns with Isoimmune Hemolytic Disease

Objective The objective of this study was to evaluate the effect of phenobarbital and phototherapy combination on the total serum bilirubin of the newborn infants with isoimmune hemolytic disease (IHD) and its impact on blood exchange transfusion rates. Patients and Method This single-blinded, prospective, randomized, controlled trial was conducted between March 2013 and December 2014 at the pediatric ward of two Military Hospitals in Jordan. A total of 200 full-term neonates with IHD were divided randomly into two groups: (1) the phenobarbital plus phototherapy group ( n = 103), and (2) the phototherapy-only group ( n = 97). Infants in group 1 received an oral dose of 2.5 mg/kg phenobarbital every 12 hours for 3 days in addition to phototherapy. The total serum bilirubin was observed. Results Of the total 200 included newborn infants, 186 infants completed the study: 97 infants were included in group 1 and 89 infants in group 2. The difference between the mean total serum bilirubin levels at 24, 48, and 72 hours after starting the trial was clinically and statistically significant at P < 0.05. The differences between the two groups were also statistically significant at P < 0.05. Of the total 186 who completed the study, only 22 underwent blood exchange transfusion [7 from group 1, and 15 from group 2 ( P = 0.0478)]. Conclusion In a limited-resources setting, phenobarbital in combination with phototherapy may be helpful to newborn infants with IHD, as it results in a faster decline in total serum bilirubin, thus decreasing the need for blood exchange transfusion than phototherapy alone

Advances on Therapeutic Strategies for Alzheimer&rsquo;s Disease: From Medicinal Plant to Nanotechnology

Alzheimer&rsquo;s disease (AD) is a chronic dysfunction of neurons in the brain leading to dementia. It is characterized by gradual mental failure, abnormal cognitive functioning, personality changes, diminished verbal fluency, and speech impairment. It is caused by neuronal injury in the cerebral cortex and hippocampal area of the brain. The number of individuals with AD is growing at a quick rate. The pathology behind AD is the progress of intraneuronal fibrillary tangles, accumulation of amyloid plaque, loss of cholinergic neurons, and decrease in choline acetyltransferase. Unfortunately, AD cannot be cured, but its progression can be delayed. Various FDA-approved inhibitors of cholinesterase enzyme such as rivastigmine, galantamine, donepezil, and NDMA receptor inhibitors (memantine), are available to manage the symptoms of AD. An exhaustive literature survey was carried out using SciFinder&rsquo;s reports from Alzheimer&rsquo;s Association, PubMed, and Clinical Trials.org. The literature was explored thoroughly to obtain information on the various available strategies to prevent AD. In the context of the present scenario, several strategies are being tried including the clinical trials for the treatment of AD. We have discussed pathophysiology, various targets, FDA-approved drugs, and various drugs in clinical trials against AD. The goal of this study is to shed light on current developments and treatment options, utilizing phytopharmaceuticals, nanomedicines, nutraceuticals, and gene therapy

Location Analysis for Arabic COVID-19 Twitter Data Using Enhanced Dialect Identification Models

The recent surge of social media networks has provided a channel to gather and publish vital medical and health information. The focal role of these networks has become more prominent in periods of crisis, such as the recent pandemic of COVID-19. These social networks have been the leading platform for broadcasting health news updates, precaution instructions, and governmental procedures. They also provide an effective means for gathering public opinion and tracking breaking events and stories. To achieve location-based analysis for social media input, the location information of the users must be captured. Most of the time, this information is either missing or hidden. For some languages, such as Arabic, the users’ location can be predicted from their dialects. The Arabic language has many local dialects for most Arab countries. Natural Language Processing (NLP) techniques have provided several approaches for dialect identification. The recent advanced language models using contextual-based word representations in the continuous domain, such as BERT models, have provided significant improvement for many NLP applications. In this work, we present our efforts to use BERT-based models to improve the dialect identification of Arabic text. We show the results of the developed models to recognize the source of the Arabic country, or the Arabic region, from Twitter data. Our results show 3.4% absolute enhancement in dialect identification accuracy on the regional level over the state-of-the-art result. When we excluded the Modern Standard Arabic (MSA) set, which is formal Arabic language, we achieved 3% absolute gain in accuracy between the three major Arabic dialects over the state-of-the-art level. Finally, we applied the developed models on a recently collected resource for COVID-19 Arabic tweets to recognize the source country from the users’ tweets. We achieved a weighted average accuracy of 97.36%, which proposes a tool to be used by policymakers to support country-level disaster-related activities

A Generic Multimodels-Based Approach for the Analysis of Usability and Security of Authentication Mechanisms

International audienceAuthentication is a security function, added on top of an interactive system, whose role is to reduce organizations and users’ risks to grant access to sensitive data or critical resources to unauthorized users. Such a security function interfere with users’ goals and tasks by adding articulatory activities, which affect each dimension of usability. In order to mitigate their negative effect on usability, security functions must be designed following a User Centered Approach. In order to ensure their efficiency in terms of security, security processes have to be followed. With this respect, this paper focuses on the representation of user tasks (using task modelling techniques) to be performed during authentication. For security aspects, we propose the use of an approach called “attack trees” which represents threats and their effect. To integrate both aspects in a single framework, we propose an extended task modelling technique that is able to represent explicitly security threats and their potential effect together with users’ tasks performed during authentication. We show how such models can be used to compare the usability and the security of different authentication mechanisms and to make explicit conflicts between these properties. We exemplify the use of the approach on two sophisticated authentication mechanisms demonstrating its applicability and its usefulness for representing and assessing in a single framework, usability and security of these security mechanism