Ochrobactrum anthropi induced retropharyngeal abscess with mediastinal extension complicating airway obstruction: A case report.

Retropharyngeal abscess with involvement of mediastinal abscess represents an uncommon complication of upper respiratory tract infections. We report a case presenting with a large retropharyngeal abscess with airway obstruction as the primary presenting symptom. Contrast-enhanced CT showed a large retropharyngeal abscess in the neck with extension to the upper and posterior mediastinal spaces. The abscess was surgically excised with 200 cc pus drained from the neck and mediastinal regions. We describe this case to assist physicians in making the difficult diagnosis when confronting a patient with airway obstruction, as early recognition of retropharyngeal abscess permits emergent airway management

A prototype of an Electronic Pegboard Test to measure Hand-Time Dexterity with impaired hand functionality

This paper proposes an electronic prototype of the Grooved Pegboard Test (GPT), which is normally used to test the presence of hand dexterity. The prototype imitates the geometrical dimensions of an on-the-market GPT device, but it is electronic, not manual like the one available now for users. The suggested electronic GPT device makes automated time calculation between placing the first and the last peg in their designated locations, instead of manually observing a stopwatch normally used during the GPT. The electronic GPT prototype consists of a fabricated wooden box, electronics (switches and microcontroller), and liquid crystal display (LCD). A set of 40 normal volunteers, 20 females and 20 males, tested the designed prototype. A set of six volunteers with chronic medical conditions also participated in evaluating the proposed model. The results on normal volunteers showed that the proposed electronic GPT device yielded time calculations that match the population mean value of similar calculations by the GPT device. The one-sample t-test showed no significant difference in calculations between the new electronic GPT and the manual GPT device. The p-value was much higher than 0.05, indicating the possible use of the suggested electronic GPT device

Solar radiation forecasting by Pearson correlation using LSTM neural network and ANFIS method: application in the west-central Jordan

none6siSolar energy is one of the most important renewable energies, with many advantages over other sources. Many parameters affect the electricity generation from solar plants. This paper aims to study the influence of these parameters on predicting solar radiation and electric energy produced in the Salt-Jordan region (Middle East) using long short-term memory (LSTM) and Adaptive Network based Fuzzy Inference System (ANFIS) models. The data relating to 24 meteorological parameters for nearly the past five years were downloaded from the MeteoBleu database. The results show that the influence of parameters on solar radiation varies according to the season. The forecasting using ANFIS provides better results when the parameter correlation with solar radiation is high (i.e., Pearson Correlation Coefficient PCC between 0.95 and 1). In comparison, the LSTM neural network shows better results when correlation is low (PCC in the range 0.5–0.8). The obtained RMSE varies from 0.04 to 0.8 depending on the season and used parameters; new meteorological parameters influencing solar radiation are also investigated.Topical Collection "Computer Vision, Deep Learning and Machine Learning with Applications"openHossam Fraihat, Amneh A. Almbaideen, Abdullah Al-Odienat, Bassam Al-Naami, Roberto De Fazio, Paolo ViscontiFraihat, Hossam; Almbaideen, Amneh A.; Al-Odienat, Abdullah; Al-Naami, Bassam; DE FAZIO, Roberto; Visconti, Paol

İki küçük avcının korkunç sergüzeştleri

M. K.'nın Yeni Yol'da tefrika edilen İki Küçük Avcının Korkunç Sergüzeştleri adlı romanıArşivdeki eksikler nedeniyle romanın tam metni verilememiştir. Bkz. Tefrika bilgi form

The ubiquitin-like molecule interferon-stimulated gene 15 (ISG15) is a potential prognostic marker in human breast cancer

INTRODUCTION: ISG15 is an ubiquitin-like molecule that is strongly upregulated by type I interferons as a primary response to diverse microbial and cellular stress stimuli. However, alterations in the ISG15 signalling pathway have also been found in several human tumour entities. To the best of our knowledge, in the current study we present for the first time a systematic characterisation of ISG15 expression in human breast cancer and normal breast tissue both at the mRNA and protein level. METHOD: Using semiquantitative real-time PCR, cDNA dot-blot hybridisation and immunohistochemistry, we systematically analysed ISG15 expression in invasive breast carcinomas (n = 910) and normal breast tissues (n = 135). ISG15 protein expression was analysed in two independent cohorts on tissue microarrays; in an initial evaluation set of 179 breast carcinomas and 51 normal breast tissues; and in a second large validation set of 646 breast carcinomas and 10 normal breast tissues. In addition, a collection of benign and malignant mammary cell lines (n = 9) were investigated for ISG15 expression. RESULTS: ISG15 was overexpressed in breast carcinoma cells compared with normal breast tissue, both at the RNA and protein level. Recurrence-free (p = 0.030), event-free (p = 0.001) and overall (p = 0.001) survival analyses showed a significant correlation between ISG15 overexpression and unfavourable prognosis. CONCLUSION: Therefore, ISG15 may represent a novel breast tumour marker with prognostic significance and may be helpful in selecting patients for and predicting response to the treatment of human breast cancer

Forecasting COVID-19 confirmed cases in Jazan, Saudi Arabia with ARIMA prediction model using the observed dataset

The data collected daily for COVID-19 confirmed cases form the official website of Ministry of Health Kingdom of Saudi Arabia from 1st Sep. Till 4th Oct. 2020. It is a time-series data and a prediction model ARIMA were used to analyze and predict the near future forecast of COVID-19 for Jazan region. such type of data can be used for analysis by health administrations at any level to predict the new cases of COVID-19 and to plan before the real time situation. Even hospitals can use such type of data to predict COVID-19 cases for their care community

Forecasting COVID-19 confirmed cases in Jazan, Saudi Arabia with ARIMA prediction model using the observed dataset

The data collected daily for COVID-19 confirmed cases form the official website of Ministry of Health Kingdom of Saudi Arabia from 1st Sep. Till 4th Oct. 2020. It is a time-series data and a prediction model ARIMA were used to analyze and predict the near future forecast of COVID-19 for Jazan region. such type of data can be used for analysis by health administrations at any level to predict the new cases of COVID-19 and to plan before the real time situation. Even hospitals can use such type of data to predict COVID-19 cases for their care community

Forecasting COVID-19 confirmed cases in Jazan, Saudi Arabia with ARIMA prediction model using the observed dataset

The data collected daily for COVID-19 confirmed cases form the official website of Ministry of Health Kingdom of Saudi Arabia from 1st Sep. Till 4th Oct. 2020. It is a time-series data and a prediction model ARIMA were used to analyze and predict the near future forecast of COVID-19 for Jazan region. such type of data can be used for analysis by health administrations at any level to predict the new cases of COVID-19 and to plan before the real time situation. Even hospitals can use such type of data to predict COVID-19 cases for their care community