Masks and Mirrors Concealment and Disclosure in Ralph Eugene Meatyard’s The Family Album of Lucybelle Crater (1974, 2002)

This doctoral thesis studies the intermedial relationships established between photography and Spanish autobiographical narrative in the 21st century. Specifically, it analyses how some authors use images taken from their own family albums, which becomes a privileged resource for the development of self-referential writing. Based on the concept of phototextuality, together with that of autobiography, the revision of the subject's individual or family past is then conceived from the interaction between word and image. After defining the phototext as a hybrid product of an intersemiotic, interartistic, and interdiscursive dynamic, and highlighting the implications of the ontological status of photography on a type of supposedly factual narration, the family album is considered as a visual repository of memory, whose literary potential has not gone unnoticed by writers and has awakened in recent decades a lively interest in analogue photography in the face of the dominance of the digital. In accordance with the typology of documents preserved in these particular archives, which range from the life of ancestors to the most recent circumstances of the author himself, the research focuses on examining a series of current Spanish works in terms of formal decisions regarding the material reproduction of the images inside them. On the other hand, the systematisation of the autobiographical phototexts follows thematic criteria that correspond to the different stimuli that move the individual towards the contemplation of the family album. Thus, by means of a multidisciplinary approach, both the aesthetic effect of these iconotextual manifestations and the emotional impact provoked by the vision of the photographs on the writer himself and on the reader-turned-spectator are assessed.

Sylvia Molloy's novel, En breve cdrcel (1981), stands as one of Spanish America's most prominent explorations of sexuality published to date. The novel is not the story of the narrator's outing even though the title might create such an expectation in the reader who first peruses the work. There is no inner psyche that comes out to the public and, notably, the word lesbian never appears in the novel. Instead, Molloy's narrative continually destabilizes the notion of a fixed or essential identity through the strategical use of imitation or repetition and fragmentation or decomposition. This destabilizing process has an important bearing on the textual construction of the coming-to-being of subjectivity because it continually disputes its ontological status. The novel suggests that identity is not to be found in the recovery of or even the positing of a whole, unified self. Rather, identity is articulated in the provisional act or practice of fragmentation. Speaking with Magdalena Garcfa Pinto, Molloy explains how her own work on Borges proved to be of great benefit for this creative project:

The management of Diabetes Mellitus (DM) involves implementing a healthy lifestyle and pharmacological interventions through the administration of anti-hyperglycemia drugs. An essential aspect of treating DM patients is insulin administration, which facilitates glucose transportation into cells. This study evaluated the effectiveness of insulin injection rotation and nutritional management education for DM.The literature search utilized the keywords "education,"AND "insulin injection," AND "nutritional management," AND "DM", ranged 2021-2023 Searches were conducted on various databases, including Proquest, NCBI, BMC, ScienceDirect, and other relevant platforms such as Google Scholar.Ten journal articles pertinent to the subject matter were identified in the study. Findings indicate that nutritional education facilitates overall health improvement in individuals with DM, contributing to maintaining average body weight and near-normal blood glucose levels. It also enhances lipid profile and insulin receptor sensitivity while being a preventive measure against acute or chronic complications such as hyperglycemia. It is noted that selecting the appropriate injection site can significantly impact patients' blood glucose levels. While it is recommended to administer injections at consistent locations, repetitive use of the same site may pose risks of side effects, such as lipodystrophy.After conducting a comprehensive review of ten journal articles, it has been concluded that insulin injection rotation and nutritional management education are effective for managing DM.

We present a study of relic gravitational waves based on a foliated gauge field theory defined over a spacetime endowed with a noncommutative algebraic–geometric structure. As an ontological extension of general relativity—concerning manifolds, metrics, and fiber bundles—the conventional space and time coordinates, typically treated as classical numbers, are replaced by complementary quantum dual fields. Within this framework, consistent with the Bekenstein criterion and the Hawking–Hertog multiverse conception, singularities merge into a helix-like cosmic scale factor that encodes the topological transition between the contraction and expansion phases of the universe analytically continued into the complex plane. This scale factor captures the essence of an intricate topological quantum-leap transition between two phases of the branching universe: a contraction phase preceding the now-surpassed conventional concept of a primordial singularity and a subsequent expansion phase, whose transition region is characterized by a Riemannian topological foliated structure. The present linearized formulation, based on a slight gravitational field perturbation, also reveals a high sensitivity of relic gravitational wave amplitudes to the primordial matter and energy content during the universe’s phase transition. It further predicts stochastic homogeneous distributions of gravitational wave intensities arising from the interplay of short- and long-spacetime effects within the non-commutative algebraic framework. These results align with the anticipated future observations of relic gravitational waves, expected to pervade the universe as a stochastic, homogeneous background.

Analysis of acoustic emissions (AE) from steel deformation is a challenging condition monitoring problem due to the high frequencies and data rates involved, and the difficulty to separate signals from noise. The problem to characterize and identify different AE sources calls for methods that goes beyond conventional time and frequency domain analysis. Feature learning is common in the field of machine learning and is successfully used to approximate and classify other kinds of complex signals. Former studies show that AE classification results depend on the choice of predefined features that are extracted from the raw AE signal, but little is known about feature learning in this context. Here we use dictionary learning and sparse coding to optimize a set of shift-invariant features to the AE signal measured in a steel tensile strength test. The specimen undergoes elastic and plastic deformation and eventually cracks. We investigate the learned features and their repetition rates and use principal component analysis (PCA) to illustrate that the resulting sparse AE code is useful for classification of the three strain stages, without reference to the signal amplitude. Therefore, feature learning is a potentially useful approach to the AE analysis problem, which also opens up for further studies of automated methods for anomaly detection in AE.

This article proposes a new space time cooperative diversity scheme called full feedback-based cooperative diversity scheme (FFBCD). In contrast to the conventional adaptive space time cooperative diversity schemes which utilize the feedback from only the destination node, the new scheme utilizes the feedback from both the destination node and the cooperation node. With the feedback from the destination node, the occasional successful reception of the destination node in the information distribution stage can be detected, and so to avoid unnecessary retransmissions in the information delivery stage. The feedback from the cooperation node indicates the receive state of the cooperation node in the information distribution stage, and the source node and the cooperation node won’t perform cooperative retransmission during the information delivery stage unless the cooperation node received successfully in the information distribution stage. In this way the new scheme can reduce the number of transmission attempt and improve the channel utilization. The expressions of the average number of transmission attempt are given. Numerical approximations and simulation results both show that the new scheme performs better than the non-cooperative scheme and the conventional adaptive space time cooperative diversity scheme.

This paper examines a recent policy debate by means of a particular rhetorical approach. That approach, based on the strategic use of word definitions and repetition, is applied to the deliberative process underlying attempts to provide appropriate special education accommodations for students with Tourette Syndrome (TS) in the U.S. public school system. Thus, this paper’s goals are threefold: to present and apply an explicit model for arguing and advocating with definitions; to examine how an advocacy organization has participated in civic deliberations about disability law in the public schools; and to offer this approach as a model for future advocacy work.

Accurate forecast of citywide crowd flows on flexible region partition benefits urban planning, traffic management, and public safety. Previous research either fails to capture the complex spatiotemporal dependencies of crowd flows or is restricted on grid region partition that loses semantic context. In this paper, we propose DeepFlowFlex, a graph-based model to jointly predict inflows and outflows for each region of arbitrary shape and size in a city. Analysis on cellular datasets covering 2.4 million users in China reveals dependencies and distinctive patterns of crowd flows in not only the conventional space and time domains, but also the speed domain, due to the diverse transportation modes in the mobility data. DeepFlowFlex explicitly groups crowd flows with respect to speed and time, and combines graph convolutional long short-term memory networks and graph convolutional neural networks to extract complex spatiotemporal dependencies, especially long-term and long-distance inter-region dependencies. Evaluations on two big cellular datasets and public GPS trace datasets show that DeepFlowFlex outperforms the state-of-the-art deep learning and big-data-based methods on both grid and non-grid city map partition.

Unconventional computers—for example those exploiting chemical, analogue or quantum phenomena in order to compute, as opposed to those employing the standard, digital-computer approach of electronically implementing discrete-value logic gates—are widely studied both theoretically and experimentally. One notable motivation driving this study is the desire efficiently to solve classically difficult problems—we recall for example a chemical-computer approach to the \(\mathsf {{NP}}\)-complete Travelling Salesperson Problem—, with computational complexity theory providing the criteria for judging this efficiency. However, care must be taken: conventional (Turing-machine-style) complexity analyses are in many cases inappropriate for assessing unconventional computers; new, non-standard computational resources, with correspondingly new complexity measures, may well be consumed during unconventional computation, and yet are overlooked by conventional analyses. Accordingly, we discuss in this chapter various resources beyond merely the conventional time and space, advocating such resources’ consideration during analysis of the complexity of unconventional computers (and, more fundamentally, we discuss various interpretations of the term ‘resource’ itself). We hope that this acts as a useful starting point for practitioners of unconventional computing and computational complexity.

The paper provides a brief bio-bibliographical background of the French author Alain Robbe-Grillet and analyses in depth the basic principles of the ‘New French Novel’. It accounts for its conventional time and space breach and looks into its presence in his first two novels; The erasers and Jealousy , which still bear some traces of the detective fiction. This literary analysis exposes their hybrid and postmodern character and the growing parody being made of the police genre.

Conventional time and space filtering of stationary random signals, which amounts to forming linear combinations of time translates and space translates, exploits the temporal and spatial coherence of the signals. By including frequency translates as well, the spectral coherence that is characteristic of cyclostationary signals can also be exploited. Some of the theoretical concepts underlying this generalized type of filtering, called frequency-shift (FRESH) filtering, are developed. The theory of optimum FRESH filtering, which is a generalization of Wiener filtering called cyclic Wiener filtering, is summarized, and the theory is illustrated with specific examples of separating temporally and spectrally overlapping communications signals, including AM, BPSK, and QPSK. The structures and performances of optimum FRESH filters are presented, and adaptive adjustment of the weights in these structures is discussed. Also, specific results on the number of digital QAM signals that can be separated, as a function of excess bandwidth, are obtained.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

This paper presents the concept of the "Ultrasubjective Hyperspace" as a fundamental, verifiable dimension in the field of our consciousness where inner perceptions and experiences actively shape perceived reality. Moving beyond a purely phenomenological description, we propose a unified model that integrates insights from neuropharmacology, transpersonal psychology, and emerging theoretical physics to elucidate the mechanisms by which subjective states manifest as tangible effects and profound transformations. We argue that this hyperspace, characterized by its inherent geometry and resonant dynamics, offers a framework for understanding phenomena ranging from the placebo effect to mystical illumination, the therapeutic potential of altered states of consciousness, and even the structured experiences of ceremonial and modern chaos magick. Furthermore, we explore the role of entheogens as magnifying glasses, enhancing the experiential access to the Ultrasubjective Hyperspace and its fluid, individually emerging contents, which are perceived beyond conventional time and space. This model provides a scientific lens for exploring "Mankind 2.0," where navigating the Ultrasubjective Hyperspace becomes central to human well-being and evolution. It is in this space that the individual finds its significance and meaning.

Periodically, advances in understanding factors that influence success in drug discovery become formulated as rules or guidelines; these become broadly accepted for a time, until new knowledge or a sufficient number of exceptions are identified to highlight the missed opportunities that result from overly rigid adherence. We are coming out of one such cycle now, as it becomes recognized that the concept of ‘druglikeness’, which has been highly effective in focusing discovery efforts on compounds with potential for achieving good ‘pharmaceutical properties’ of absorption, distribution, metabolism and excretion (ADME), has at the same time impeded exploration of new pharmacologically useful chemotypes that do not resemble typical known drugs. At the same time, attention is turning increasingly to new classes of drug targets that are less amenable to inhibition by conventional drug-like molecules, such as protein–protein interaction (PPI) interfaces, intrinsically disordered proteins, DNA-binding, carbohydratebinding and some phosphopeptide-binding proteins. This trend has led to growing interest in identifying new chemotypes and drug modalities that possess both an ability to bind to poorly druggable sites and a high potential for good ADME properties. The features that make a target undruggable by conventional drug-like compounds generally include some combination of the following: a binding site, such as many PPI interface sites, that due to its topology (cavities are too small are too large) cannot generate a large area of intimate contact with a drug-like small ligand; a binding site that is exclusively hydrophobic, and thus lacks the ability to engage in charged or polar interactions with the ligand, as are typically required for high affinity and selectivity; a binding site that has evolved to interact with a highly polar or charged ligand, such as a sugar, a nucleic acid polymer, or a phosphopeptide, and thus is too polar for high complementarity with an amphiphilic drug-like ligand; a site that is intrinsically disordered, such that there is potentially a large entropic cost associated with organizing the binding site around a ligand. Several promising approaches have been developed to address highly challenging drug targets such as those described above. These approaches exploit compound chemotypes that differ from typical drugs, and thus require us to move beyond conventional views of druglikeness when evaluating prospects for good ADME properties.

In this paper, we answer the question that Can conventional differential unitary space time modulation (DUSTM) be applied when there is an unknown carrier frequency offset (CFO)? and present a maximum likelihood (ML) detection rule for this scenario. We analyze the asymptotical performance of our ML detection and provide the code design criterion by using the modified diversity product. The analysis also brings the insight that our proposed decision rule is a new differential modulation scheme in both temporal and spatial domains. Various simulations are conducted, and the proposed algorithm is shown to be more robust to the CFO drifting than the existing double temporal differential modulation.

Responding in part to the quincentennial of Europe's ‘discovery’ of the ‘New World’ and a cultural environment charged with millenial expectations, Native American writers such as Leslie Marmon Silko and Gerald Vizenor have ironically reshaped traditional American mythologies of apocalypse. Like Silko's Almanac of the Dead , Vizenor's Bearheart , Dead Voices , and The Heirs of Columbus utilize apocalyptic and futuristic themes to comment on cultural conflict and world-view dislocations. Yet these fictions also dramatize conceptions of time, space and causality that question the very models of linear history structuring traditional Western treatments of apocalypse and the future. Most fundamentally, all of these novels adapt aspects of Native American tradition to reinterpret the meanings of cultural apocalypse from a primarily tribal point of view. Many of Vizenor's transformational themes are grimly parallelled in Almanac of the Dead , in which Silko evokes underlying patterns of Indian prophecy to project apocalyptic images of cultural and spiritual crisis. Similarly, in Bearheart Vizenor extends trickster tradition into a post-apocalyptic future landscape to examine the destructive effects of ‘terminal creeds’. In Dead Voices he creates a subtle apocalypse of the spirit in a contemporary setting. And in The Heirs of Columbus , Vizenor constructs a kind of parallel history narrative that cannot be located precisely in conventional Western time and space, but seems to be located in a mythic, trickster universe that interpenetrates with conventional history and ‘reality’. Though in Western tradition apocalypse is deeply identified with disaster, it can also evoke images of transformational regeneration, and it is this aspect of the theme that Silko and Vizenor ultimately project in their apocalyptic fictions. In all four of these major Native American novels the apocalyptic theme recapitulates grim aspects of tribal experience under colonization, yet it also projects possibilities for the survival of tribal values into an emerging ‘new world’ – the imminent revolution in Almanac of the Dead , the ‘fourth world’ to which Indian pilgrims escape in Bearheart , the bizarre world of the ‘wanaki game’ in Dead Voices , and a kind of tribal utopia in the new nation established by Stone Columbus in The Heirs of Columbus .