Nowadays, massive amount of data flows all the time. Approximately between 20 or 30 percent of these data is text. This data is always organized in semi-structured text, which cannot be used directly. To make use of such huge amounts of textual data, there is a need to detect, extract, and structure the information conveyed through this data in a fast and scalable manner. This can be performed using Information Extraction Techniques. However, the task of information extraction is one of the main challenges in Natural Language Processing and there are limitations for its implementation on a large scale of data. Open Information Extraction (OIE) is an open-domain and relation-independent paradigm to perform information extraction in an unsupervised manner. This technique can lead to high-speed and scalable performance. The review of previous research proposals reveals that there are OIE experiments among different languages, such as English, Portuguese, Spanish, Vietnamese, Chinese, and Germany. This paper reviews the OIE techniques, compare their performance in some languages, and then integrates these results with the languages complexity levels to reveal the relationship between the suitable model and the language complexity level.

There is a massive amount of different information and data in the World Wide Web, and the number of Arabic users and contents is widely increasing. Information extraction is an essential issue to access and sort the data on the web. In this regard, information extraction becomes a challenge, especially for languages, which have a complex morphology like Arabic. Consequently, the trend today is to build a new corpus that makes the information extraction easier and more precise. This paper presents Arabic linguistically analyzed corpus, including dependency relation. The collected data includes five fields; they are a sport, religious, weather, news and biomedical. The output is CoNLL universal lattice file format (CoNLL-UL). The corpus contains an index for the sentences and their linguistic meta-data to enable quick mining and search across the corpus. This corpus has seventeenth morphological annotations and eight features based on the identification of the textual structures help to recognize and understand the grammatical characteristics of the text and perform the dependency relation. The parsing and dependency process conducted by the universal dependency model and corrected manually. The results illustrated the enhancement in the dependency relation corpus. The designed Arabic corpus helps to quickly get linguistic annotations for a text and make the information Extraction techniques easy and clear to learn. The gotten results illustrated the average enhancement in the dependency relation corpus.

Lithium is one of the most powerful and commonly used medications for the treatment of various psychiatric diseases, especially bipolar disorder. However, it has a narrow therapeutic index with toxic effects on various organs. There are several case reports of lithium-induced arrhythmia and ischemia. The current work aimed to study the toxic effects of lithium on the heart of adult albino rats and its molecular mechanisms and the ameliorating effect of N-acetyl cysteine (NAC). Sixty adult male Wistar albino rats were classified into four groups; control, NAC-treated received NAC 500 mg/kg/week dissolved in 1 ml 0.9% sodium chloride intraperitoneal, lithium-treated received 52.5 mg/kg/day of lithium carbonate dissolved in 1 ml 0.9% sodium chloride orally by gavage, and lithium-and-NAC-treated (group IV) received lithium and NAC in the previous doses. After 12 weeks, the rats of group III showed a significant accumulation of ascites and a decrease in the mean arterial blood pressure and electrocardiographic (ECG) findings of ischemia and arrhythmia. In addition, there was an elevation in cardiac biomarkers creatine kinase MB (CK-MB), cardiac troponin I (cTnI), and several histological lesions with a significant increase in the area % of Van Gieson, endothelial nitric oxide synthase (eNOS), and 8-hydroxy-2′-deoxyguanosine (8-OHdG) immunoreaction. There was significant upregulation of microRNA-1, microRNA-21 (miRNA-21), and microRNA-29 (miRNA-29). MiRNA-21 was strongly positively correlated to the area % of 8-OHdG, while miRNA-29 was strongly positively correlated to the area % of Van Gieson staining. NAC significantly improved the cardiotoxic effects of lithium. Being a nontoxic and safe antioxidant, NAC can be used to ameliorate lithium-induced cardiac injury.

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