The toxicity of cadmium and resulting hazards for human health

Cadmium (Cd) has been in industrial use for a long period of time. Its serious toxicity moved into scientific focus during the middle of the last century. In this review, we discuss historic and recent developments of toxicological and epidemiological questions, including exposition sources, resorption pathways and organ damage processes

A discrete cluster of urinary biomarkers discriminates between active systemic lupus erythematosus patients with and without glomerulonephritis.

BackgroundManagement of lupus nephritis (LN) would be greatly aided by the discovery of biomarkers that accurately reflect changes in disease activity. Here, we used a proteomics approach to identify potential urinary biomarkers associated with LN.MethodsUrine was obtained from 60 LN patients with paired renal biopsies, 25 active non-LN SLE patients, and 24 healthy controls. Using Luminex, 128 analytes were quantified and normalized to urinary creatinine levels. Data were analyzed by linear modeling and non-parametric statistics, with corrections for multiple comparisons. A second cohort of 33 active LN, 16 active non-LN, and 30 remission LN SLE patients was used to validate the results.ResultsForty-four analytes were identified that were significantly increased in active LN as compared to active non-LN. This included a number of unique proteins (e.g., TIMP-1, PAI-1, PF4, vWF, and IL-15) as well as known candidate LN biomarkers (e.g., adiponectin, sVCAM-1, and IL-6), that differed markedly (>4-fold) between active LN and non-LN, all of which were confirmed in the validation cohort and normalized in remission LN patients. These proteins demonstrated an enhanced ability to discriminate between active LN and non-LN patients over several previously reported biomarkers. Ten proteins were found to significantly correlate with the activity score on renal biopsy, eight of which strongly discriminated between active proliferative and non-proliferative/chronic renal lesions.ConclusionsA number of promising urinary biomarkers that correlate with the presence of active renal disease and/or renal biopsy changes were identified and appear to outperform many of the existing proposed biomarkers

Communicative competence and didactic challenges : a case study of English-medium instruction in third-level education in Switzerland

Looking in greater detail at the role of lecturers, this publication reports results of a project introducing English as a medium of instruction in a bachelor-level programme in the natural sciences offered by a university of applied sciences in German-speaking Switzerland. The three papers in this publication focus on key aspects arising from the pilot phase, outlining challenges involved when functioning communities of practice are disrupted by the change of the medium of communication as well as communicative processes that are at work in creating a new community of practice on the basis of English as a lingua franca.Diese Publikation untersucht die Einführung von englischsprachigem Fachunterricht in naturwissenschaftlichen Fächern auf Bachelorstufe im Rahmen eines dreijährigen Pilotversuchs, der an einer Fachhochschule der Schweiz durchgeführt wurde. Die drei Beiträge dieser Publikation widmen sich zentralen Fragen, die aus der Einführung des englischsprachigen Fachunterrichts während der ersten Phase des Projektes hervorgingen. Die Publikation untersucht im Speziellen die Herausforderungen, die auftreten, wenn funktionierende Praxisgemeinschaften durch den Wechsel des Kommunikationsmediums gestört werden, sowie die kommunikativen Prozesse, die zur Schaffung einer neuen Praxisgemeinschaft beitragen, die auf Englisch als Lingua Franca fusst.Looking in greater detail at the role of lecturers, this publication reports results of a project introducing English as a medium of instruction in a bachelor-level programme in the natural sciences offered by a university of applied sciences in German-speaking Switzerland. The three papers in this publication focus on key aspects arising from the pilot phase, outlining challenges involved when functioning communities of practice are disrupted by the change of the medium of communication as well as communicative processes that are at work in creating a new community of practice on the basis of English as a lingua franca

Fairness in Oculomotoric Biometric Identification

Gaze patterns are known to be highly individual, and therefore eye movements can serve as a biometric characteristic. We explore aspects of the fairness of biometric identification based on gaze patterns. We find that while oculomotoric identification does not favor any particular gender and does not significantly favor by age range, it is unfair with respect to ethnicity. Moreover, fairness concerning ethnicity cannot be achieved by balancing the training data for the best-performing model

Pre-Trained Language Models Augmented with Synthetic Scanpaths for Natural Language Understanding

Human gaze data offer cognitive information that reflects natural language comprehension. Indeed, augmenting language models with human scanpaths has proven beneficial for a range of NLP tasks, including language understanding. However, the applicability of this approach is hampered because the abundance of text corpora is contrasted by a scarcity of gaze data. Although models for the generation of human-like scanpaths during reading have been developed, the potential of synthetic gaze data across NLP tasks remains largely unexplored. We develop a model that integrates synthetic scanpath generation with a scanpath-augmented language model, eliminating the need for human gaze data. Since the model's error gradient can be propagated throughout all parts of the model, the scanpath generator can be fine-tuned to downstream tasks. We find that the proposed model not only outperforms the underlying language model, but achieves a performance that is comparable to a language model augmented with real human gaze data. Our code is publicly available.Comment: Pre-print for EMNLP 202

Pre-Trained Language Models Augmented with Synthetic Scanpaths for Natural Language Understanding

Human gaze data offer cognitive information that reflects natural language comprehension. Indeed, augmenting language models with human scanpaths has proven beneficial for a range of NLP tasks, including language understanding. However, the applicability of this approach is hampered because the abundance of text corpora is contrasted by a scarcity of gaze data. Although models for the generation of human-like scanpaths during reading have been developed, the potential of synthetic gaze data across NLP tasks remains largely unexplored. We develop a model that integrates synthetic scanpath generation with a scanpath-augmented language model, eliminating the need for human gaze data. Since the model’s error gradient can be propagated throughout all parts of the model, the scanpath generator can be fine-tuned to downstream tasks. We find that the proposed model not only outperforms the underlying language model, but achieves a performance that is comparable to a language model augmented with real human gaze data. Our code is publicly available