Air temperature prediction can play a significant role in studies related to climate change, radiation and heat flux estimation, and weather forecasting. This study applied and compared the outcomes of three advanced fuzzy inference models, i.e., dynamic evolving neural-fuzzy inference system, hybrid neural-fuzzy inference system, and adaptive neurofuzzy inference system for AT prediction. Modelling was done for three stations in North Dakota, USA, i.e., Robinson, Ada, and Hillsboro. The results reveal that FIS type models are well suited when handling highly (...) variable data, such as AT, which shows a high positive correlation with average daily dew point, total solar radiation, and negative correlation with average wind speed. At the Robinson station, DENFIS performed the best with a coefficient of determination of 0.96 and a modified index of agreement of 0.92, followed by ANFIS with R2 of 0.94 and md of 0.89, and HyFIS with R2 of 0.90 and md of 0.84. A similar result was observed for the other two stations, i.e., Ada and Hillsboro stations where DENFIS performed the best with R2: 0.953/0.960, md: 0.903/0.912, then ANFIS with R2: 0.943/0.942, md: 0.888/0.890, and HyFIS with R2: 0.908/0.905, md: 0.845/0.821, respectively. It can be concluded that all three models are capable of predicting AT with high efficiency by only using DP, TSR, and WS as input variables. This makes the application of these models more reliable for a meteorological variable with the need for the least number of input variables. The study can be valuable for the areas where the climatological and seasonal variations are studied and will allow providing excellent prediction results with the least error margin and without a huge expenditure. (shrink)

Interpretations of Heidegger’s discussion of space in Being and Time have predominantly focused on two related themes: Heidegger’s attempt to ground spatiality in temporality and the problem of embodiment. Little direct attention, however, has been given to the role Heidegger’s discussion of spatiality plays in his analysis of Dasein’s Being-in-the-world. This paper pursues the thesis that Heidegger’s account of Being-in-the-world, which is meant to avoid a subject-object dichotomy by representing a unitary phenomenon, falls prey to a charge of subjectivism lacking (...) an adequate account of spatiality. I support this claim in three steps. In the first section, I show how Heidegger’s discussion of spatiality is aimed at deflecting a charge of subjectivism. The second section argues that Heidegger’s account of spatiality fails to go beyond the system of relations that defines worldhood and Being-in. In the final section, I will define what I consider to be a necessary condition for a non-subjectivist system of relations: an encounter between Dasein and entities in which the latter are not determined entirely according to the system of relations. I discuss the two instances where Heidegger discusses the idea of encounter, arguing that his account falls short of the criterion I propose. (shrink)

The intersection of philosophies of space and technology is a fecund area of inquiry that has received surprisingly little attention in the philosophical literature. While the major accounts of space and place have not considered complexities introduced by recent technological developments, scholarship on the human-technology relationship has virtually ignored the spatial dimensions of this interaction. Place and Digital Space takes a step in addressing this gap in literature by offering an original, phenomenological account of place and using this framework to (...) analyze digitally mediated spaces. I argue that places are continually evolving, internally heterogenous, and spatially distinct meaningful wholes with indeterminate boundaries. I then show how spaces mediated by digital technologies, particularly augmented reality (AR), are fundamentally different from ordinary places. The increasing use of AR, I argue, poses an unprecedented challenge to the way we interpret, engage with, and have collective experiences of everyday places. Finally, I identify ethical questions raised by the interpretation of spaces by artificial intelligence, by the unauthorized augmentation of places, and by the possibility of a few companies with big data dominating the virtual modifications of public places. (shrink)

Phenomenological approaches to space have consistently made a distinction between a plurality of inhabited spaces and the single homogenous extendedness of Euclidean space. Martin Heidegger and Maurice Merleau-Ponty postulate unique spatial wholes pertaining to human life that pose a counterpoint to objective space and provide the necessary context for understanding all our spatial relations. However, the spatial wholes that are posited to clarify these relations are themselves far from univocal. Specifically, differences exist regarding what precisely unites various entities into a (...) meaningful spatial whole and how any such whole relates to others. Showing how Heidegger’s idea of Ort and Merleau-Ponty’s notion of espace vécu rely on multiple senses of nearness, this paper argues that the privileged sense of nearness in each case fails to delimit the spatial context, thereby putting into question the very possibility of a unified and distinct spatial whole. (shrink)

Freivalds defined an acceptable programming system independent criterion for learning programs for functions in which the final programs were required to be both correct and "nearly" minimal size, i.e., within a computable function of being purely minimal size. Kinber showed that this parsimony requirement on final programs limits learning power. However, in scientific inference, parsimony is considered highly desirable. A lim-computablefunction is (by definition) one calculable by a total procedure allowed to change its mind finitely many times about its output. (...) Investigated is the possibility of assuaging somewhat the limitation on learning power resulting from requiring parsimonious final programs by use of criteria which require the final, correct programs to be "not-so-nearly" minimal size, e.g., to be within a lim-computable function of actual minimal size. It is shown that some parsimony in the final program is thereby retained, yet learning power strictly increases. Considered, then, are lim-computable functions as above but for which notations for constructive ordinals are used to bound the number of mind changes allowed regarding the output. This is a variant of an idea introduced by Freivalds and Smith. For this ordinal notation complexity bounded version of lim-computability, the power of the resultant learning criteria form finely graded, infinitely ramifying, infinite hierarchies intermediate between the computable and the lim-computable cases. Some of these hierarchies, for the natural notations determining them, are shown to be optimally tight. (shrink)

A generator program for a computable function (by definition) generates an infinite sequence of programs all but finitely many of which compute that function. Machine learning of generator programs for computable functions is studied. To motivate these studies partially, it is shown that, in some cases, interesting global properties for computable functions can be proved from suitable generator programs which cannot be proved from any ordinary programs for them. The power (for variants of various learning criteria from the literature) of (...) learning generator programs is compared with the power of learning ordinary programs. The learning power in these cases is also compared to that of learning limiting programs, i.e., programs allowed finitely many mind changes about their correct outputs. (shrink)

Saggar recalled a patient who … asked, “Doctor, do you really think I have COVID?” At that point, Saggar wasn’t sure. He told him they were being “extra cautious.” About 10 days later, the patient was dead. “That still haunts me,” Saggar said.Infectious disease specialist Dr. Suraj Saggar says he is “haunted”. We cannot tell precisely what haunts him: the death of his patient, or his in-ability, 10 days earlier, to say for certain whether the patient was infected with the (...) new coronavirus. Probably the two merge, so that for him the sadness and horror we all feel when a person we know suddenly dies is inseparable from the particular guilty grief he feels as a doctor, not simply for being unable to save a... (shrink)