Long-Term Results of Sodium 2-Mercaptoethane Sulfonate Usage on Cholesteatoma Surgery.

Although advanced technologies and surgical procedures are used, cholesteatoma is a disease with the possibility of recurrence. The aim of this study was to determine the long-term effect of sodium 2-mercaptoethane sulfonate (MESNA) on cholesteatoma surgery. Patients who underwent cholesteatoma surgery between January 2009 and July 2014 by the same surgeon were divided into 2 groups: those where MESNA was used and those where it was not.

The effect of genistein on cisplatin induced ototoxicity and oxidative stress.

Objective: Cisplatin is an antineoplastic agent used in adults and children for the treatment of various malignant diseases. It can cause irreversible ototoxicity. Genistein is a phytoestrogen.

Effects of Covid-19 on the audio-vestibular system.

Purpose: It was aimed to investigate the effects of COVID-19 infection on hearing and the vestibular system.

Methods: Twenty-six patients whose treatment had been completed and who had no previous hearing or balance complaints were included in the study. Patients diagnosed with the disease by PCR were included in the study.

Improving clinical outcome predictions using convolution over medical entities with multimodal learning.

Early prediction of mortality and length of stay (LOS) of a patient is vital for saving a patient's life and management of hospital resources. Availability of Electronic Health Records (EHR) makes a huge impact on the healthcare domain and there are several works on predicting clinical problems. However, many studies did not benefit from the clinical notes because of the sparse, and high dimensional nature.

The Complication of Tension Pneumocephalus After Septoplasty.

This paper presents a case of tension pneumocephalus with severe headache 2 days after septoplasty surgery. In such cases, endoscopic sinus surgery (ESS) or open approach can be used for repair of the defect. However, pneumocephalus, especially caused by minor defects, improves spontaneously with conservative treatment.

Are long-term auditory results following ossiculoplasty with bone cement as successful as early-middle period results?

Purpose: Bone-cement (BC) ossiculoplasty is one of the options to solve ossicular chain problems. Many authors reported successful results in the early or mid-follow-up period; however, there is no long-term result in the literature. We aim to evaluate long term results of BC ossiculoplasty.

A Rare Cause of Headache That Should Be Kept in Mind: Isolated Concha Bullosa Fungus Ball.

Concha bullosa is characterized by pneumotization of the middle turbinate and is a common variation of sinonasal anatomy and is often asymptomatic. The presence of a fungus ball in concha bullosa and the associated clinic symptoms are very rare. Concha bullosa fungus balls are a rare differential diagnosis in a patient presenting to the otorhinolaryngology outpatient clinic with headache.

A Convolutional Deep Clustering Framework for Gene Expression Time Series.

The functional or regulatory processes within the cell are explicitly governed by the expression levels of a subset of its genes. Gene expression time series captures activities of individual genes over time and aids revealing underlying cellular dynamics. An important step in high-throughput gene expression time series experiment is clustering genes based on their temporal expression patterns and is conventionally achieved by unsupervised machine learning techniques.

Drug response prediction by ensemble learning and drug-induced gene expression signatures.

Chemotherapeutic response of cancer cells to a given compound is one of the most fundamental information one requires to design anti-cancer drugs. Recently, considerable amount of drug-induced gene expression data has become publicly available, in addition to cytotoxicity databases. These large sets of data provided an opportunity to apply machine learning methods to predict drug activity.

The role of goats as reservoir hosts for bovine herpes virus 1 under field conditions.

Bovine herpesvirus 1 (BoHV1) is the cause of economically significant viral infections in cattle. Respiratory symptoms associated with the infection are known as Infectious Bovine Rhinotracheitis (IBR). Sheep and goats are less sensitive to the infection although their role in inter-species viral transmission under field conditions is subject to controversy.

Prediction of anti-cancer drug response by kernelized multi-task learning.

Motivation: Chemotherapy or targeted therapy are two of the main treatment options for many types of cancer. Due to the heterogeneous nature of cancer, the success of the therapeutic agents differs among patients. In this sense, determination of chemotherapeutic response of the malign cells is essential for establishing a personalized treatment protocol and designing new drugs.

Effective gene expression data generation framework based on multi-model approach.

Objective: Overcome the lack of enough samples in gene expression data sets having thousands of genes but a small number of samples challenging the computational methods using them.

Methods And Material: This paper introduces a multi-model artificial gene expression data generation framework where different gene regulatory network (GRN) models contribute to the final set of samples based on the characteristics of their underlying paradigms. In the first stage, we build different GRN models, and sample data from each of them separately.

Multi-scale modularity and motif distributional effect in metabolic networks.

Metabolism is a set of fundamental processes that play important roles in a plethora of biological and medical contexts. It is understood that the topological information of reconstructed metabolic networks, such as modular organization, has crucial implications on biological functions. Recent interpretations of modularity in network settings provide a view of multiple network partitions induced by different resolution parameters.

The Protective Effect of Chrysin Against Cisplatin İnduced Ototoxicity in Rats.

Ototoxicity is a common side effect of cisplatin chemotherapy. The aim of this study was to investigate the potential protective effect of chrysin against cisplatin-induced ototoxicity. Thirty-four adult female Wistar albino rats were separated into four groups: a cisplatin group (Group A), with cisplatin administered to ten rats once daily for three consecutive days at doses of 8 mg/kg body weight intraperitoneally (i.

Evidence of zoonotic pseudocowpox virus infection from a cattle in Turkey.

Pseudocowpox virus (PCPV) infects cattle throughout the world and has zoonotic potential. However, it is not known to infect cattle in Turkey. In August 2013, we observed ulcerative nodular swelling and pustules on udder and teats of a cow in a small village nearly Lake of Bafa, Milas, Mugla locate in southwestern part of Turkey.

Assessment of mucosal changes associated with nasal splint in a rabbit model.

Introduction: There is no consensus on duration of the nasal splint after nasal septum surgeries. The pressure of nasal splint on the mucosa may cause tissue necrosis and nasal septum perforation.

Objectives: To investigate the histopathological changes of the nasal mucosa caused by nasal splints in a rabbit model.

The effect of Beta glucan on Cisplatin ototoxicity.

This study was undertaken to investigate the effect of betaglucan in ameliorating cisplatin ototoxicity. Rats were divided into four groups: cisplatin (C), cisplatin plus beta glucan (CB), beta glucan (B), and control (K). Distortion product otoacoustic emissions were elicited in 0th, 1st, and 5th days.

Subtree selection in kernels for graph classification.

Classification of structured data is essential for a wide range of problems in bioinformatics and cheminformatics. One such problem is in silico prediction of small molecule properties such as toxicity, mutagenicity and activity. In this paper, we propose a new feature selection method for graph kernels that uses the subtrees of graphs as their feature sets.

Integrating machine learning techniques into robust data enrichment approach and its application to gene expression data.

The availability of enough samples for effective analysis and knowledge discovery has been a challenge in the research community, especially in the area of gene expression data analysis. Thus, the approaches being developed for data analysis have mostly suffered from the lack of enough data to train and test the constructed models. We argue that the process of sample generation could be successfully automated by employing some sophisticated machine learning techniques.

Evaluation of the protective effect of Beta glucan on amikacin ototoxicity using distortion product otoacoustic emission measurements in rats.

Objectives: This experimental study investigated the possible protective effect of beta glucans on amikacin ototoxicity.

Methods: Thirty-eight rats with normal distortion product otoacoustic emissions (DPOAEs) were divided into four groups. Group K was the control group.

The use of bone cement for ossicular chain defects.

Bone cement is a good and cheap option for some ossicular chain problems such as incudostapedial re-bridging. The purpose of this retrospective study is to evaluate the audiologic results after reconstruction of three different types of ossicular chain defects, using bone cement. Group 1 consists of 42 patients who underwent an ossiculoplasty using bone cement between the damaged long process of the incus and an intact stapes superstructure.

Influence of prior knowledge in constraint-based learning of gene regulatory networks.

Constraint-based structure learning algorithms generally perform well on sparse graphs. Although sparsity is not uncommon, there are some domains where the underlying graph can have some dense regions; one of these domains is gene regulatory networks, which is the main motivation to undertake the study described in this paper. We propose a new constraint-based algorithm that can both increase the quality of output and decrease the computational requirements for learning the structure of gene regulatory networks.

Scalable approach for effective control of gene regulatory networks.

Objective: Interactions between genes are realized as gene regulatory networks (GRNs). The control of such networks is essential for investigating issues like different diseases. Control is the process of studying the states and behavior of a given system under different conditions.

Automated large-scale control of gene regulatory networks.

Controlling gene regulatory networks (GRNs) is an important and hard problem. As it is the case in all control problems, the curse of dimensionality is the main issue in real applications. It is possible that hundreds of genes may regulate one biological activity in an organism; this implies a huge state space, even in the case of Boolean models.

Prevalence of equine herpesvirus-1 and equine herpesvirus-4 infections in equidae species in Turkey as determined by ELISA and multiplex nested PCR.

In this report we examined the presence of specific antibodies against equine herpesvirus type 1 (EHV-1), and equine herpesvirus type 4 (EHV-4) in several equidae, including mules, donkeys, horses. The presence of EHV-1 and EHV-4 in respiratory diseases of equids, and ability of multiplex nested polymerase chain reaction (PCR) screening in simultaneous diagnosis of horses acutely infected by EHV-1 and EHV-4 were also investigated. Sera from 504 horses, mules and donkeys sampled were tested for the presence of EHV-1 and EHV-4 specific antibodies.