ANER: Arabic and Arabizi Named Entity Recognition using Transformer-Based Approach

One of the main tasks of Natural Language Processing (NLP), is Named Entity Recognition (NER). It is used in many applications and also can be used as an intermediate step for other tasks. We present ANER, a web-based named entity recognizer for the Arabic, and Arabizi languages. The model is built upon BERT, which is a transformer-based encoder. It can recognize 50 different entity classes, covering various fields. We trained our model on the WikiFANE\_Gold dataset which consists of Wikipedia articles. We achieved an F1 score of 88.7\%, which beats CAMeL Tools' F1 score of 83\% on the ANERcorp dataset, which has only 4 classes. We also got an F1 score of 77.7\% on the NewsFANE\_Gold dataset which contains out-of-domain data from News articles. The system is deployed on a user-friendly web interface that accepts users' inputs in Arabic, or Arabizi. It allows users to explore the entities in the text by highlighting them. It can also direct users to get information about entities through Wikipedia directly. We added the ability to do NER using our model, or CAMeL Tools' model through our website. ANER is publicly accessible at \url{http://www.aner.online}. We also deployed our model on HuggingFace at https://huggingface.co/boda/ANER, to allow developers to test and use it

New and effective solitary applications in Schrödinger equation via Brownian motion process with physical coefficients of fiber optics

Using the unified solver technique, the rigorous and effective new novel optical progressive and stationary structures are established in the aspects of hyperbolic, trigonometric, rational, periodical and explosive types. These types are concrete in the stochastic nonlinear Schrödinger equations (NLSEs) with operative physical parameters. The obtained stochastic solutions with random parameters that are founded in the form of rational, dissipative, explosive, envelope, periodic, and localized soliton can be utilized in fiber applications. The stochastic modulations of structures' amplitude and frequency caused by dramatic instantaneous influences of both fibers nonlinear, dispersive, losing and noise term effects maybe very important in new fiber communications

C-Abl inhibition; a novel therapeutic target for Parkinson’s disease

Parkinson’s disease (PD) is the most prevalent movement disorder in the world. The major pathological hallmarks of PD are death of dopaminergic neurons and the formation of Lewy bodies. At the moment, there is no cure for PD; current treatments are symptomatic. Investigators are searching for neuroprotective agents and disease modifying strategies to slow the progress of PD. However, recently, due to the ignorance of the main pathological sequence of PD, many drug targets failed to provide neuroprotective effects in human trials. Currently, a huge amount of evidence suggests the involvement of C-Abelson (c-Abl) tyrosine kinase enzyme in the pathology of PD. C-abl plays a role in PD pathology on the levels of parkin activation, alpha synuclein aggregation, and impaired autophagy of toxic elements. Experimental studies showed that (1) c-abl activation is involved in neuronal death and (2) c-abl inhibition shows neuroprotective effects and prevents dopaminergic neurons’ death. Current evidence from experimental studies and the first in-human trial shows that c-abl inhibition holds the promise for neuroprotection against PD and therefore, justifies the movement towards larger clinical trials. In this review article, we discussed the role of c-abl in PD pathology and the findings of preclinical experiments and the first in-human trial. In addition, based on the lessons of the last decade and current preclinical evidence, we provide recommendations for future research in this area

Appendiceal Adenocarcinoma PDX Models Have Improved Tumor Growth in an Orthotopic Tumor Environment

https://openworks.mdanderson.org/sumexp23/1085/thumbnail.jp

Systematic Literature Review

Abstract This study was conducted to assess the risk of cancer associated with air pollution in Eastern Mediterranean Region (EMR) by summarizing the existing knowledge from previous studies in the region and to identify knowledge and research gaps to support further research efforts. Combinations of search terms from three categories ("country" keywords AND 'air pollution" keywords AND "cancer" keywords) were used to search for the relevant literature published between January 2000 and June 2016 using MEDLINE and other databases. Six case-control studies and three studies of other designs had assessed the association between air pollution and cancer in the EMR and met the inclusion criteria. These studies have assessed the effect of various indoor and outdoor air pollutants on the risk of different types of cancer. In this review, cancers were classified into: lung cancer; nasopharyngeal cancer; urinary bladder cancer; overall incidence of cancer in adults; and childhood cancer incidence. Limited epidemiological studies were found in the literature that properly address cancer incidence and air pollution in the EMR countries. Outdoor air pollution was not properly addressed in the included studies. Studies showed that using fuel for heating and living near an electricity generator and diesel exhaust exposure were significant contributors to lung cancer. NO 2 has been shown to increase the risk of lung and breast cancer incidence. PAHs exposure did not increase the risk of cancer incidence. In conclusion, studies on the link between air pollution and cancer in EMR are limited to few studies in few countries. The reviewed studies have many limitations that make the evidence about the link between air pollution and cancer weak

Goblet Cell Tumors of the Appendix: Clinical & Molecular Features

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Performance evaluation of PI controlled series stacked power delivery architectures for high-efficiency data centers

Series-stacked architectures have been successfully deployed for data center applications at substantially higher efficiencies than conventional power delivery architectures. In the series-stacked architectures, servers are series-connected electrically to reduce the high step-down conversion stage of voltage utilized in the conventional architectures. Differential power processing converters are, therefore, used to regulate the servers’ voltages and compensate for the unpredicted mismatch between servers’ currents. The main contribution of this paper comprises novel control approaches based on PI controllers purposeful for the two architectures that have reported the highest reliability and efficiency in differential power processing namely: server-to-bus and server-to-virtual bus. Both systems employ a dual active bridge (DAB) converter to accommodate the fluctuating loads of each server. Unlike hysteresis current/voltage control commonly employed in the available literature, the proposed control approaches offer less complexity, lower harmonics, and higher immunity towards the noise, thus no need for high-quality sensors to successfully achieve voltage balance and/or optimal string current flow. Moreover, a comparative study has been structured between the investigated series-stacked architectures under the proposed PI control approaches showing the merits and the demerits of each architecture. The proposed controllers have been validated based on simulations and experimentally

Utility of plasma tumor marker levels in management of patients with appendiceal adenocarcinoma

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FOXRED1 silencing in mice: a possible animal model for leigh syndrome.

Leigh syndrome (LS) is one of the most puzzling mitochondrial disorders, which is also known as subacute necrotizing encephalopathy. It has an incidence of 1 in 77,000 live births worldwide with poor prognosis. Currently, there is a poor understanding of the underlying pathophysiological mechanisms of the disease without any available effective treatment. Hence, the inevitability for developing suitable animal and cellular models needed for the development of successful new therapeutic modalities. In this short report, we blocked FOXRED1 gene with small interfering RNA (siRNA) using C57bl/6 mice. Results showed neurobehavioral changes in the injected mice along with parallel degeneration in corpus striatum and sparing of the substantia nigra similar to what happen in Leigh syndrome cases. FOXRED1 blockage could serve as a new animal model for Leigh syndrome due to defective CI, which echoes damage to corpus striatum and affection of the central dopaminergic system in this disease. Further preclinical studies are required to validate this model

A Prospective Randomized Crossover Trial of Systemic Chemotherapy in Patients with Low-Grade Mucinous Appendiceal Adenocarcinoma

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