The ethical treatment of cancer patientsparticipating in clinical trials requiresthat patients are well-informed about thepotential benefits and risks associated withparticipation. When patients enrolled in phaseI clinical trials report that their chance ofbenefit is very high, this is often taken as evidence of a failure of the informed consent process. We argue, however, that some simple themes from the philosophy of language may make such a conclusion less certain. First, the patient may receive conflicting statements from multiple speakers about the expected (...) outcome of the trial. Patients may be reporting the message they like best. Second, there is a potential problem of multivocality. Expressions of uncertainty of the frequency type can be confused with expressionsof uncertainty of the belief type. Patients may be informed using frequency-type statements and respond using belief-type statements. Third, each speech episode involving the investigator and the patient regarding outcomes may subservemultiple speech acts, some of which may beindirect. For example, a patient reporting ahigh expected benefit may be reporting a beliefabout the future, reassuring family members,and/or attempting to improve his or her outcome by apublic assertion of optimism. These sources oflinguistic confusion should be considered injudging whether the patient's reported expectation isgrounds for a bioethical concern that there hasbeen a failure in the informed consent process. (shrink)

Statʹi, razmyshlenii︠a︡, ocherki -- Pisʹma v redakt︠s︡ii -- Perepiska s chlenami Soi︠u︡za svobodomysli︠a︡shchikh -- Pisʹma k M.I. Barskoĭ -- Perepiska mezhdu K.P. Krizhanovskim i I.G. Khusidom -- Iz materialov dela K.P. Krizhanovskogo.

Papers presented at an annual inter-disciplinary seminar held to facilitate the 60th birthday of Kalarikkal Poulose Aleaz, b. 1947, theologist from Kerala, India during 20-21 September 2007.

Introduction of deep neural networks to the machine translation research ameliorated conventional machine translation systems in multiple ways, specifically in terms of translation quality. The ability of deep neural networks to learn a sensible representation of words is one of the major reasons for this improvement. Despite machine translation using deep neural architecture is showing state-of-the-art results in translating European languages, we cannot directly apply these algorithms in Indian languages mainly because of two reasons: unavailability of the good corpus and (...) Indian languages are morphologically rich. In this paper, we propose a neural machine translation (NMT) system for four language pairs: English–Malayalam, English–Hindi, English–Tamil, and English–Punjabi. We also collected sentences from different sources and cleaned them to make four parallel corpora for each of the language pairs, and then used them to model the translation system. The encoder network in the NMT architecture was designed with long short-term memory (LSTM) networks and bi-directional recurrent neural networks (Bi-RNN). Evaluation of the obtained models was performed both automatically and manually. For automatic evaluation, the bilingual evaluation understudy (BLEU) score was used, and for manual evaluation, three metrics such as adequacy, fluency, and overall ranking were used. Analysis of the results showed the presence of lengthy sentences in English–Malayalam, and the English–Hindi corpus affected the translation. Attention mechanism was employed with a view to addressing the problem of translating lengthy sentences (sentences contain more than 50 words), and the system was able to perceive long-term contexts in the sentences. (shrink)

The superfluid state of fermion-antifermion fields developed in our previous papers is generalized to include higher orbital and spin states. In addition to single-particle excitations, the system is capable of having real and virtual bound or quasibound composite excitations which are akin to bosons of spinJ P equal to0 −, 1−, 2+, etc. These pseudoscalar, vector, and tensor bosons can be massive or massless and provide the vehicles for strong, electromagnetic, weak, and gravitational interactions. The concept that the basic (unmanifest) (...) fermion-antifermion interaction can lead to a multiplicity of manifest interactions seems to provide a basis for a unified field theory. (shrink)