Column-free optical deconvolution of intrinsic fluorescence for a monoclonal antibody and its product-related impurities

The quantification of monoclonal antibody (mAb) aggregates and fragments using high pressure liquid chromatography-size exclusion chromatography (HPLC-SEC) typically requires off-line measurements that are time-consuming and therefore not compatible with real-time monitoring. However, it has been crucial to manufacturing and process development, and remains the industrial standard in the assessment of product-related impurities. Here we demonstrate that our previously established intrinsic time-resolved fluorescence (TRF) approach can be used to quantify the bioprocess critical quality attribute (CQA) of antibody product purity at various stages of a typical downstream process, with the potential to be developed for in-line bioprocess monitoring. This was directly benchmarked against industry-standard HPLC-SEC. Strong linear correlations were observed between outputs from TRF spectroscopy and HPLC-SEC, for the monomer and aggregate-fragment content, with R2 coefficients of 0.99 and 0.69, respectively. At total protein concentrations above 1.41 mg/mL, HPLC-SEC UV-Vis chromatograms displayed signs of detector saturation which reduced the accuracy of protein quantification, thus requiring additional sample dilution steps. By contrast, TRF spectroscopy increased in accuracy at these concentrations due to higher signal-to-noise ratios. Our approach opens the potential for reducing the time and labour required for validating aggregate content in mAb bioprocess stages from the several hours required for HPLC-SEC to a few minutes per sample

Römorkörcülük Hizmeti Yetki Sahalarında Römorkör Sayısının Simülasyon Modellemesi Yöntemiyle Tespiti

Römorkörcülük hizmeti verecek bir teşkilatın ilk yatırım maliyetlerinin oldukça yüksek olması nedeniyle, yapılacak yatırımlarda yetki sahası boyutlarına göre belirlenmiş hizmet düzeyini sağlayacak römorkör sayısının, tipinin ve çeki kuvvetlerinin tespiti verimlilik açısından oldukça önemlidir. Her ne kadar serbest rekabet nedeniyle belli bir yetki sahasında ihtiyaçtan fazla römorkör olsa da, yeni pazara giren hizmet sağlayıcılarının deniz trafiğine ait istatistiki verileri analiz ederek optimum sayıdaki römorkörü elinde tutarak rekabetçi gücünü arttırması mümkündür. Bu çalışmada yalnızca römorkör sayısı üzerinde durulmuş olup, genel bir limandaki deniz trafiğine ait bağımsız değişkenlerin, römorkör sayısına ait bağımlı değişken üzerindeki rassal etkilerinin analiz edilebileceği bir simülasyon modeli geliştirilmiştir. Simülasyon modellemesinde Promodel 2011 programı kullanılmıştır. Elde edilen veriler Stat:Fit programı yardımıyla analiz edilmiştir. Sonuç olarak, yetki sahalarında gerekli römorkör sayısının tespit edilebileceği ve her alanda uygulanabilecek bir simülasyon modeli geliştirilmiştir

The Determination of the Number of Tugboats in the Area of Towage Service Authorization by Using Simulation Modelling Technique

Römorkörcülük hizmeti verecek bir teşkilatın ilk yatırım maliyetlerinin oldukça yüksek olması nedeniyle, yapılacak yatırımlarda yetki sahası boyutlarına göre belirlenmiş hizmet düzeyini sağlayacak römorkör sayısının, tipinin ve çeki kuvvetlerinin tespiti verimlilik açısından oldukça önemlidir. Her ne kadar serbest rekabet nedeniyle belli bir yetki sahasında ihtiyaçtan fazla römorkör olsa da, yeni pazara giren hizmet sağlayıcılarının deniz trafiğine ait istatistiki verileri analiz ederek optimum sayıdaki römorkörü elinde tutarak rekabetçi gücünü arttırması mümkündür. Bu çalışmada yalnızca römorkör sayısı üzerinde durulmuş olup, genel bir limandaki deniz trafiğine ait bağımsız değişkenlerin, römorkör sayısına ait bağımlı değişken üzerindeki rassal etkilerinin analiz edilebileceği bir simülasyon modeli geliştirilmiştir. Simülasyon modellemesinde Promodel 2011 programı kullanılmıştır. Elde edilen veriler Stat:Fit programı yardımıyla analiz edilmiştir. Sonuç olarak, yetki sahalarında gerekli römorkör sayısının tespit edilebileceği ve her alanda uygulanabilecek bir simülasyon modeli geliştirilmiştir

Paradigmenwechsel in und zwischen Frauen- und Genderstudienzentren an türkischen Universitäten: Modernistische, feministische und neo-konservative Ansätze

https://www.uni-bremen.de/fb12/arbeitsbereiche/abteilung-a-allgemeine-erziehungswissenschaft/interkulturelle-bildung/forschung/forschungsarchiv/frauen-und-geschlechterstudien-in-der-tuerkeiFollowing the feminist movement of the 1980s, Women’s Studies as an independent academic discipline was established in the early 1990s at Turkish universities. By the year 2017, about 100 Women’s and Gender Studies Centres (WGSCs) existed at universities in Turkey. A research project at the University of Bremen has analysed the institutionalisation and transformation processes of these centres in their relation to academia, state, and civil society based on expert interviews and document collections. This article discusses how six selected WGSCs were shaped differently over the decades by diverse WGS scholars’ political-ideological stances and various scientific paradigms, such as modernist, feminist, or neo-conservative. It also investigates in how far centres’ names, topics, and terms such as ‘gen-der equality’ versus ‘gender justice’ can be identified as indicators of their different academic concepts of women and/or gender. The analysis suggests that the paradigm shifts can be explained, by considering the influential factors of generational belonging, academic feminism, and international WGS debates, as well as recognising the impacts of the relations between the civil society and the state in Turkey that undergo changes due to recent political developments.3/202

Classification of Resting-State Status Based on Sample Entropy and Power Spectrum of Electroencephalography (EEG)

An electroencephalogram (EEG) is a significant source of diagnosing brain issues. It is also a mediator between the external world and the brain, especially in the case of any mental illness; however, it has been widely used to monitor the dynamics of the brain in healthy subjects. This paper discusses the resting state of the brain with eyes open (EO) and eyes closed (EC) by using sixteen channels by the use of conventional frequency bands and entropy of the EEG signal. The Fast Fourier Transform (FFT) and sample entropy (SE) of each sensor are computed as methods of feature extraction. Six classifiers, including logistic regression (LR), K-Nearest Neighbors (KNN), linear discriminant (LD), decision tree (DT), support vector machine (SVM), and Gaussian Naive Bayes (GNB) are used to discriminate the resting states of the brain based on the extracted features. EEG data were epoched with one-second-length windows, and they were used to compute the features to classify EO and EC conditions. Results showed that the LR and SVM classifiers had the highest average classification accuracy (97%). Accuracies of LD, KNN, and DT were 95%, 93%, and 92%, respectively. GNB gained the least accuracy (86%) when conventional frequency bands were used. On the other hand, when SE was used, the average accuracies of SVM, LD, LR, GNB, KNN, and DT algorithms were 92% 90%, 89%, 89%, 86%, and 86%, respectively