Gottlob Frege may be considered as the first intellectual giant in thePhilosophy of Language. He was the first to raise the issue ofmeaning by formulating an organized theory of meaning for a part ofnatural language as the theory of meaning is at the core of philosophy of language. He emphasizes that the meaning of a sentence directly depends on the meaning of its constituent parts. That is why he has to dissect the internal structure of a sentence or complex expressions (...) provided by a logical syntax, while the truth value of such sentences may be revealed by logical semantics which can be put forward by treating these sentences as a whole. (shrink)

The transplant community has faced unprecedented challenges balancing risks of performing living donor transplants during the COVID-19 pandemic with harms of temporarily suspending these procedures. Decisions regarding postponement of living donation stem from its designation as an elective procedure, this despite that the Centers for Medicare and Medicaid Services categorise transplant procedures as tier 3b (high medical urgency—do not postpone). In times of severe resource constraints, health systems may be operating under crisis or contingency standards of care. In this manuscript, (...) the United Network for Organ Sharing Ethics Workgroup explores prioritisation of living donation where health systems operate under contingency standards of care and provide a framework with recommendations to the transplant community on how to approach living donation in these circumstances.To guide the transplant community in future decisions, this analysis suggests that: (1) living donor transplants represent an important option for individuals with end-stage liver and kidney disease and should not be suspended uniformly under contingency standards, (2) exposure risk to SARS-CoV-2 should be balanced with other risks, such as exposure risks at dialysis centres. Because many of these risks are not quantifiable, donors and recipients should be included in discussions on what constitutes acceptable risk, (3) transplant hospitals should strive to maintain a critical transplant workforce and avoid diverting expertise, which could negatively impact patient preparedness for transplant, (4) transplant hospitals should consider implementing protocols to ensure early detection of SARS-CoV-2 infections and discuss these measures with donors and recipients in a process of shared decision-making. (shrink)

In the area of machine learning, different techniques are used to train machines and perform different tasks like computer vision, data analysis, natural language processing, and speech recognition. Computer vision is one of the main branches where machine learning and deep learning techniques are being applied. Optical character recognition is the ability of a machine to recognize the character of a language. Pashto is one of the most ancient and historical languages of the world, spoken in Afghanistan and Pakistan. OCR (...) application has been developed for various cursive languages like Urdu, Chinese, and Japanese, but very little work is done for the recognition of the Pashto language. When it comes to handwritten character recognition, it becomes more difficult for OCR to recognize the characters as every handwritten character’s shape is influenced by the writer’s hand motion dynamics. The reason for the lack of research in Pashto handwritten character data as compared to other languages is because there is no benchmark dataset available for experimental purposes. This study focuses on the creation of such a dataset, and then for the evaluation purpose, a machine is trained to correctly recognize unseen Pashto handwritten characters. To achieve this objective, a dataset of 43000 images was created. Three Feed Forward Neural Network models with backpropagation algorithm using different Rectified Linear Unit layer configurations were trained and tested with this dataset. The simulation shows that Model 1 achieved accuracy up to 87.6% on unseen data while Model 2 achieved an accuracy of 81.60% and 3% accuracy, respectively. Similarly, loss was the lowest for Model 1 with 0.15 and 3.17 for training and testing, followed by Model 2 with 0.7 and 4.2 for training and testing, while Model 3 was the last with loss values of 6.4 and 3.69. The precision, recall, and f-measure values of Model 1 were better than those of both Model 2 and Model 3. Based on results, Model 1 is found to be the most efficient as compared to the other two models in terms of accuracy to recognize Pashto handwritten characters. (shrink)

Director Kivu Ruhorahoza’s film Europa: ‘Based on a True Story’ is a blend of fiction, quasi-ethnography and autobiography. In this article, built in part on the foundations of Judith Butler’s conceptualizations of precariousness, precarity and assembly, Europa is read as a refusal to be relegated to the marginal spectrality of bare life. Simultaneously, this article considers the draft-like provisionality of the film as a hallmark of its precarity. Framed as an essay film about the fate of an African director who (...) attempts to make a film ‘out of Africa’, Europa provides a meditation on belonging and the precarious conditions of filming in Europe with an African passport. As Nandini Sikand writes, ‘the assumption of ethnographic fieldwork and participant observation is that by living and learning for an extended period alongside our informants, we are able to document and analyze their experience more accurately’ (2015: 45). Ruhorahoza’s film compels us to think about the position of the participant observer when the ‘extended period’ involves an agonizingly long asylum case, and when that observer is relegated to a space of unbelonging. (shrink)