The squared paper or graphs are grid-based design representations used in engineering, industrial and craft design practices wherein designs are drawn over symmetrical grids. This paper reports grid-processing strategies undertaken by actors in a native craft practice, viz. Kashmiri carpet-weaving having three task contexts: (1) _design_, wherein designs are drawn on graph sheets and color scheme given by assigning practice-specific symbolic codes to the motifs by designers; (2) _coding_, wherein a cryptic script, called _talim_, is generated from these encoded graphs (...) by talim-writers; and (3) _weaving_, wherein this script is read, decoded and communicated in an equally cryptic trade-language by weavers among their teams. 32 video-recorded think-aloud sessions were conducted with talim-writers to understand their graph-processing and resultant coding strategies. The observations and qualitative analysis of transcripts revealed highly _situated_ strategies undertaken by experts keen on imbibing visuality of design embedded in the grids, in contrast to _embodied_ strategies undertaken by less-experienced coders keen on processing grids’ structural features and getting overwhelmed by grid-clutter in the process. In this landscape, the findings revealed a negotiated nature of errors instead of being deviations from the underlying grid and thereby objectively assessable. The paper makes recommendations for CAD systems to include more of those grid features exploited by experts during their graph processing to facilitate designers. (shrink)

Fischer here defends the contention that moral responsibility is associated with "deep control", which is "in-between" two untenable extreme positions: "superficial control" and "total control". He defends this "middle way" against the proponents of more--and less--robust notions of the freedom required for moral responsibility. Fischer offers a new solution to the Luck Problem, as well as providing a defense of the compatibility of causal determinism and moral responsibility.

Fischer here defends the contention that moral responsibility is associated with "deep control", which is "in-between" two untenable extreme positions: "superficial control" and "total control". He defends this "middle way" against the proponents of more--and less--robust notions of the freedom required for moral responsibility. Fischer offers a new solution to the Luck Problem, as well as providing a defense of the compatibility of causal determinism and moral responsibility.

In this collection of essays -- a follow up to My Way and Our Stories -- John Martin Fischer defends the contention that moral responsibility is associated with "deep control." Fischer defines deep control as the middle ground between two untenable extreme positions: "superficial control" and "total control."Our freedom consists of the power to add to the given past, holding fixed the laws of nature, and therefore, Fischer contends, we must be able to interpret (...) our actions as extensions of a line that represents the actual past. In "connecting the dots," we engage in a distinctive sort of self-expression. In the first group of essays in this volume, Fischer argues that we do not need genuine access to alterative possibilities in order to be morally responsible. Thus, the line need not branch off at crucial points. In the remaining essays in the collection he demonstrates that deep control is the freedom condition on moral responsibility. In so arguing, Fischer contends that total control is too much to ask--it is a form of "metaphysical megalomania." So we do not need to "trace back" all the way to the beginning of the line in seeking the relevant kind of freedom or control. Additionally, he contends that various kinds of "superficial control"--such as versions of "conditional freedom" and "judgment-sensitivity" are too shallow; they don't trace back far enough along the line. In short, Fischer argues that, in seeking the freedom that grounds moral responsibility, we need to carve out a middle ground between superficiality and excessive penetration. Deep Control is the "middle way."Fischer presents a new argument that deep control is compatible not just with causal determinism, but also causal indeterminism. He thus tackles the luck problem and shows that the solution to this problem is parallel in important ways to the considerations in favor of the compatibility of causal determinism and moral responsibility. (shrink)

John Martin Fischer’s most recent collection of essays, Deep Control: Essays on Free Will and Value, is both incredibly wide-ranging and impressively detailed. Fischer manages to cover a staggering amount of ground in the free will debate, while also providing insightful and articulate analyses of many of the positions defended in the field. In this collection, Fischer focuses on the relationship between free will and moral responsibility. In the first section of his book, Fischer defends Frankfurt cases as (...) an important and useful tool in rejecting the necessity of regulative control for moral responsibility. In the second section, Fischer turns his attention to his own account of guidance control. In this essay, I first focus on Fischer’s defense of Frankfurt cases, specifically his response to the argument that the assumption of determinism in such cases is question-begging. I then analyze two objections to Fischer’s account of guidance control. Finally, I conclude with a brief discussion of the metaphor of the pilgrimage, which Fischer introduces in the opening essay of his collection. (shrink)

Aiming at suppressing harmful effect for building structure by surface motion, semiactive nonsmooth control algorithm with Deep Learning is proposed. By finite-time stable theory, the building structure closed-loop system’s stability is discussed under the proposed control algorithm. It is found that the building structure closed-loop system is stable. Then the proposed control algorithm is applied on controlling the building structural vibration. The seismic action is chosen as El Centro seismic wave. Dynamic characteristics have comparative analysis between (...) semiactive nonsmooth control and passive control in two simulation examples. They demonstrate that the designed control algorithm has great robustness and anti-interference. The proposed control algorithm is more effective than passive control in suppressing structural vibration. (shrink)

Autonomous underwater vehicles are widely used to accomplish various missions in the complex marine environment; the design of a control system for AUVs is particularly difficult due to the high nonlinearity, variations in hydrodynamic coefficients, and external force from ocean currents. In this paper, we propose a controller based on deep reinforcement learning in a simulation environment for studying the control performance of the vectored thruster AUV. RL is an important method of artificial intelligence that can learn (...) behavior through trial-and-error interactions with the environment, so it does not need to provide an accurate AUV control model that is very hard to establish. The proposed RL algorithm only uses the information that can be measured by sensors inside the AUVs as the input parameters, and the outputs of the designed controller are the continuous control actions, which are the commands that are set to the vectored thruster. Moreover, a reward function is developed for deep RL controller considering different factors which actually affect the control accuracy of AUV navigation control. To confirm the algorithm’s effectiveness, a series of simulations are carried out in the designed simulation environment, which is a method to save time and improve efficiency. Simulation results prove the feasibility of the deep RL algorithm applied to the control system for AUV. Furthermore, our work also provides an optional method for robot control problems to deal with improving technology requirements and complicated application environments. (shrink)

It has been argued that the explanation of self-control requires positing special motivational powers. Some think that we need will-power as an irreducible mental faculty; others that we need to think of the active self as a dedicated and depletable pool of psychic energy or – in today more respectable terminology – mental resources; finally, there is the idea that self-control requires postulating a deep division between reason and passion – a deliberative and an emotional motivational system. (...) This essay argues that no such special motivational powers are necessary. Yet, at the same time, self-control does powerfully illustrate the importance of a feature of the mind. What it illustrates, I argue, is the importance of the mental activity of attention in the control of all action. It is by appeal to this mental activity that we can dispense with special motivational powers. If we think of Humeanism as the view that there is fundamentally only one kind of motivational system and that all action is based in that system, then this essay contributes to a defense of Humeanism. On the other hand, the essay also shows that any model of agency in terms of only beliefs and desires, motivational and representational states, or preferences and credences is incomplete. A different conception of Humeanism as the view that every mental state is either motivational, representational, or a combination of them, is false. (shrink)

Objective: To examine changes in patients’ desired control of the deep brain stimulator and perception of global life control throughout DBS.Methods: A consecutive cohort of 52 patients with Parkinson’s disease was recruited to participate in a prospective longitudinal study over three assessment points. Semi-structured interviews assessing participants’ desire for stimulation control and perception of global control were conducted at all three points. Qualitative data were coded using content analysis. Visual analog scales were embedded in the (...) interviews to quantify participants’ perceptions of control over time.Results: Participants reported significant increases in their perception of global control over time and significant declines in their desired control of the stimulation. These changes were unrelated to improvements in motor symptoms. Improvements in global control were negatively correlated with a decline in desired stimulation control. Qualitative data indicate that participants have changed, nuanced levels of desired control over their stimulators. Increased global life control following DBS may be attributed to increased control over PD symptoms, increased ability to engage in valued activities, and increased overall self-regulation, while other domains related to global control remained unaffected by DBS.Conclusions: There are few empirical data documenting patients’ desire for stimulation control throughout neuromodulation and how stimulation control is related to other aspects of control despite the growing application of neuromodulation devices to treat a variety of disorders. Our data highlight distinctions in different types of control and have implications for the development of patient-controlled neurostimulation devices. (shrink)

With the mobility and ease of connection, wireless sensor networks have played a significant role in communication over the last few years, making them a significant data carrier across networks. Additional security, lower latency, and dependable standards and communication capability are required for future-generation systems such as millimeter-wave LANs, broadband wireless access schemes, and 5G/6G networks, among other things. Effectual congestion control is regarded as of the essential aspects of 5G/6G technology. It permits operators to run many network illustrations (...) on a single organization while maintaining higher service quality. A sophisticated decision-making system for arriving network traffic is necessary to confirm load balancing, limit network slice letdown, and supply alternative slices in slice letdown or congestion. Because of the massive amount of data being generated, artificial intelligence and machine learning play a vital role in reconfiguring and improving a 5G/6G wireless network. In this research work, a hybrid deep learning method is being applied to forecast optimal congestion improvement in the wireless sensors of 5G/6G IoT networks. This proposed model is applied to a training dataset to govern the congestion in a 5G/6G network. The proposed approach provided promising results, with 0.933 accuracy, and 0.067 miss rate. (shrink)

The complexity of organisms is not simply determined by the number of their genes, but to a large extent by how gene expression is controlled. In addition to transcriptional regulation, this involves several layers of post‐transcriptional control, such as translational repression, microRNA‐mediated mRNA degradation and translational inhibition, alternative splicing, and the regulated generation of functionally distinct gene products from a single mRNA through alternative use of translation initiation sites. Much progress has been made in describing the molecular basis for (...) these gene regulatory mechanisms. However, it is now a major challenge to translate this knowledge into deeper understanding of the physiological processes, both normal and pathological, that they govern. Using the C/EBP family of transcription factors as an example, the present review describes recent genetic experiments addressing this general problem and discusses how the physiological importance of newly discovered regulatory mechanisms might be determined. (shrink)

We study a joint pricing and inventory control problem for perishables with positive lead time in a finite horizon periodic-review system. Unlike most studies considering a continuous density function of demand, in our paper the customer demand depends on the price of current period and arrives according to a homogeneous Poisson process. We consider both backlogging and lost-sales cases, and our goal is to find a simultaneously ordering and pricing policy to maximize the expected discounted profit over the planning (...) horizon. When there is no fixed ordering cost involved, we design a deep reinforcement learning algorithm to obtain a near-optimal ordering policy and show that there are some monotonicity properties in the learned policy. We also show that our deep reinforcement learning algorithm achieves a better performance than tabular-based Q-learning algorithms. When a fixed ordering cost is involved, we show that our deep reinforcement learning algorithm is effective and efficient, under which the problem of “curse of dimension” is circumvented. (shrink)

Improving the resilience of urban road networks suffering from various disruptions has been a central focus for urban emergence management. However, to date the effective methods which may mitigate the negative impacts caused by the disruptions, such as road accidents and natural disasters, on urban road networks is highly insufficient. This study proposes a novel adaptive signal control strategy based on a doubly dynamic learning framework, which consists of deep reinforcement learning and day-to-day traffic dynamic learning, to improve (...) the network performance by adjusting red/green time split. In this study, red time split is regarded as extra traffic flow to discourage drivers to use affected roads, so as to reduce congestion and improve the resilience when urban road networks are subject to different levels of disruptions. In addition, we utilize the convolution neural network as Q-network to approximate Q values, link flow distribution and link capacity are regarded as the state space, and actions are denoted as red/green time split. A small network is utilized as a numerical example, and a fixed time signal control and other two adaptive signal controls are employed for the comparisons with the proposed one. The results show that the proposed adaptive signal control based on deep reinforcement learning can achieve better resilience in most of the cases, particularly in the scenarios of moderate and severe disruptions. This study may shed light on the advantages of the proposed adaptive signal control dealing with major emergencies compared to others. (shrink)

The management control system aids administrators in guiding a business toward its organizational plans; as a result, management control is primarily concerned with the execution of the plan and plans. Financial and nonfinancial criteria are used to create management control systems. The financial element focuses on net income, earnings, and other financial metrics. The two components of leadership strategy in this study are cost and differentiation, which highlight the strategy of differentiation in attaining higher quality due to (...) the robust strategy’s attention on a particular area of the company. In this study, we presented a novel method named deep interaction neural network to predict the performance of the manufacturing companies based on their leading competitors using features cost leadership and differentiation strategies. Moreover, the management control system is classified into two financial and nonfinancial factors based on machine learning methods. Based on the results, the presented factors can accurately estimate the company’s performance based on management control criteria with a 93.48% R-square. Moreover, it can be seen that the DT method is presented with higher classification performance values. (shrink)

There is preliminary evidence, from case reports and investigational studies, to suggest that Deep Brain Stimulation could be used to treat some patients with Anorexia Nervosa. Although this research is at an early stage, the invasive nature of the intervention and the vulnerability of the potential patients are such that anticipatory ethical analysis is warranted. In this paper, we first show how different treatment mechanisms raise different philosophical and ethical questions. We distinguish three potential mechanisms alluded to in the (...) neuroscientific literature, relating to desire, control, and emotion, respectively. We explain why the precise nature of the mechanism has important implications for the patient’s autonomy and personal identity. In the second part of the paper, we consider practical dimensions of offering DBS to patients with AN in certain cases. We first discuss some limited circumstances where the mere offering of the intervention might be perceived as exerting a degree of coercive pressure that could serve to undermine the validity of the patient’s consent. Finally, we consider the implications of potential effects of DBS for the authenticity of the patient’s choice to continue using stimulation to ameliorate their condition. (shrink)

Prima facie, it seems highly plausible to suppose that there is some kind of constitutive relationship between self-control and the self, i.e., that self-control is “control at the service of the self” or even “control by the self.” This belief is not only attractive from a pre-theoretical standpoint, but it also seems to be supported by theoretical reasons. In particular, there is a natural fit between a certain attractive approach to self-control—the so-called “divided mind approach”—and (...) a certain well-established approach to the self—the so-called “deep self” approach. I argue, however, that this initial impression is misleading: on closer inspection, the combination of the divided mind approach to self-control with the deep self approach fails to provide us with a theoretical foundation for the claim that self-control is constitutively linked to the self. I show that, in an interesting twist, combining these two approaches actually supports the opposite claim, leading us to the view that self-control and the self can come apart, and, more specifically, that we sometimes exercise self-control without our self or even against our self. (shrink)

It is widely recognized that police performance may be hindered by psychophysiological state changes during acute stress. To address the need for awareness and control of these physiological changes, police academies in many countries have implemented Heart-Rate Variability biofeedback training. Despite these trainings now being widely delivered in classroom setups, they typically lack the arousing action context needed for successful transfer to the operational field, where officers must apply learned skills, particularly when stress levels rise. The study presented here (...) aimed to address this gap by training physiological control skills in an arousing decision-making context. We developed a Virtual-Reality breathing-based biofeedback training in which police officers perform deep and slow diaphragmatic breathing in an engaging game-like action context. This VR game consisted of a selective shoot/don’t shoot game designed to assess response inhibition, an impaired capacity in high arousal situations. Biofeedback was provided based on adherence to a slow breathing pace: the slower and deeper the breathing, the less constrained peripheral vision became, facilitating accurate responses to the in-game demands. A total of nine male police trainers completed 10 sessions over a 4-week period as part of a single-case experimental ABAB study-design. Results showed that eight out of nine participants showed improved breathing control in action, with a positive effect on breathing-induced low frequency HRV, while also improving their in-game behavioral performance. Critically, the breathing-based skill learning transferred to subsequent sessions in which biofeedback was not presented. Importantly, all participants remained highly engaged throughout the training. Altogether, our study showed that our VR environment can be used to train breathing regulation in an arousing and active decision-making context. (shrink)

The adaptive BCI known as ‘closed-loop deep brain stimulation’ (clDBS) is a device that stimulates the brain in order to prevent pathological neural activity and automatically adjusts stimulation levels based on computational algorithms that detect or predict those pathological processes. One of the prominent ethical concerns raised by clDBS is that, by inhibiting or modulating the undesirable neural states of a cognitive agent automatically, the device potentially undermines her autonomy. It has been argued that clDBS is not a threat (...) because autonomy is fundamentally relational, i.e., it essentially depends on external (e.g., social or cultural) factors. If the relational approach to autonomy includes human-computer interaction, then the mechanisms of clDBS, even if external to the brain and exerting some degree of control over the individual, may support her autonomy. However, DBS applications are substantially different from one another, each involving a specific neurological or psychiatric condition, neural target, mechanism and symptom(s), and therefore at least some of them may not fit into the relational analysis. I examine different clDBS applications for treatment resistant depression and claim that while internal capsule/ventral striatum (VC/VS) clDBS is a case of relational autonomy, subgenual cingulate gyrus (Cg25) clDBS is not. Autonomy (relational or otherwise) requires some degree of self-regulation of our motivational states, which is supported by VC/VS DBS but is absent in Cg25 DBS. In Cg25 DBS the device itself directly influences motivational states, thus substituting or overriding (instead of supporting) the auto-regulatory cognitive processes required for autonomous action. (shrink)

Sociological research on moral panics, long understood as “struggles for cultural power,” has focused on the social groups and media conditions that enable moral panics to emerge, and on the consequences of moral panics for the social control systems of societies. In this article I turn instead to modeling the specific cultural process of how the conditions for a moral panic are turned into an actual moral panic, moving the understanding of moral panic away from its Durkheimian origins and (...) towards a process-relational cultural sociology. Drawing on Roland Barthes’ theory of myth and Kenneth Burke’s dramatism, the paper posits the cultural process of resignification via synecdoche and metanarrative as the driver of the disproportion, concern, hostility, consensus, and volatility of moral panics. This process can be carefully traced in the case of the Salem Witch Trials; a retrospective reading reveals the same process at work in the “Mods and Rockers” panic analyzed by Stanley Cohen. Beyond moral panics, theorizing resignification as a non-exclusive counterpoint to framing and ideational embeddedness enriches the theoretical repertoire of cultural sociology. “Deep culture” and mythological signification can, using the schema proposed here, be understood as practical accomplishments—rhetorical responses to particular situations that, when performed successfully, legitimate violence and other forms of domination. (shrink)

Specifically tailored industrial control systems attacks are becoming increasingly sophisticated, accentuating the need of ICS cyber security. The nature of these systems makes traditional IT security measures not suitable, requiring expressly developed security countermeasures. Within the past decades, research has been focused in network-based intrusion detection systems. With the appearance of software-defined networks, new opportunities and challenges have shown up in the research community. This paper describes the potential benefits of using SDNs in industrial networks with security purposes and (...) presents the set up and results of a pilot experiment carried out in a scaled physical implementation. The experimental set up consists in the detection of ICMP flood and packet payload alteration based on signature comparison. Results point to the potential viability of the technology for intrusion detection and the need of researching in architectural scalability. (shrink)

According to manipulation arguments for incompatibilism, manipulation might undermine an agent’s responsibility even when the agent satisfies plausible compatibilist conditions on responsibility. According to Sripada, however, empirical data suggest that people take manipulation to undermine responsibility largely because they think that the manipulated act is in discord with the agent’s “deep self,” thus violating the plausible compatibilist condition of deep self concordance. This paper defends Sripada’s general methodological approach but presents data that strongly suggest that, contrary to Sripada’s (...) contention, most of the effect of manipulation on attributions of moral responsibility is unmediated by worries about inadequate information or deep self discordance. Instead, it depends largely on worries that the action is ultimately explained by factors outside the agent’s control, just as proponents of manipulation arguments have proposed. More generally, data suggest that judgments of... (shrink)

BackgroundPublic health guidelines have recommended that elective medical procedures, including deep brain stimulation surgery for Parkinson’s disease, should not be scheduled during the coronavirus pandemic to prevent further virus spread and overload on health care systems. However, delaying DBS surgery for PD may not be in the best interest of individual patients and is not called for in regions where virus spread is under control and inpatient facilities are not overloaded.MethodsWe administered a newly developed phone questionnaire to 20 (...) consecutive patients with PD who received DBS surgery in Ruijin Hospital in Shanghai during the COVID-19 pandemic. The questionnaire was designed to gather the patients’ experiences and perceptions on the impact of COVID-19 on their everyday activities and access to medical care.ResultsMost of the patients felt confident about the preventive measures taken by the government and hospitals, and they have changed their daily living activities accordingly. Moreover, a large majority of patients felt confident obtaining access to regular and COVID-19-related health care services if needed. Routine clinical referral, sense of security in the hospital during the outbreak, and poor control of PD symptoms were the three main reasons given by patients for seeking DBS surgery during the COVID-19 pandemic.ConclusionThe COVID-19 pandemic has considerably impacted medical care and patients’ lives but elective procedures, such as DBS surgery for PD, do not need to be rescheduled when the health care system is not overloaded and adequate public health regulations are in place. (shrink)

Deep brain stimulation is an invasive technique designed to stimulate certain deep brain regions for therapeutic purposes and is currently used mainly in patients with neurodegenerative disorders, such as Parkinson’s disease. However, DBS is also used increasingly for other experimental applications, such as the treatment of psychiatric disorders, weight reduction. Apart from its therapeutic potential, DBS can cause severe adverse effects, some that might also have a significant impact on the patient’s personality and autonomy by the external stimulation (...) of DBS which effects lie beyond the individual’s control and free will. The article’s purpose is to outline the procedures of DBS currently used in therapeutic and experimental applications and to discuss the ethical concerns regarding this procedure. It will address the clinical benefit-risk-ratio, the particular ethics of research in this field, and the ethical issues raised by affecting a patient’s or an individual’s personality and autonomous behaviour. Moreover, a potential ethical guideline, the Ulysses contract is discussed for the field of clinical application as well as the question of responsibility. (shrink)

Deep brain stimulation (DBS) of the globus pallidus interna and subthalamic nucleus has restored some degree of motor control in many patients in advanced stages of Parkinson’s disease. DBS has also been used to treat dystonia, essential tremor (progressive neurological condition causing trembling), chronic pain, obsessive-compulsive disorder, Tourette’s syndrome, major depressive disorder, obesity, cerebral palsy, and the minimally conscious state. Although the underlying mechanisms of the technique are still not clear, DBS can modulate underactive or overactive neural circuits (...) and restore disrupted communication between and among groups of neurons in interacting regions of the brain. This can control and relieve many symptoms associated with a range of neurological and psychiatric disorders.But the procedures of implanting and stimulating the electrodes are brain-invasive and entail significant risks. Some patients receiving DBS have experienced intracerebral hemorrhage, infection, cognitive disturbances such as impulsive behavior, and affective disturbances such as mania. It is not known whether continuous electrical stimulation of the brain would reshape synaptic connectivity and permanently alter neural circuits in ways that may not be salutary. The risk of these effects indicates that DBS should be used only when a patient’s condition is refractory to all other interventions and when there is a high probability that the technique will benefit the patient and improve his or her quality of life. If a patient’s quality of life is poor and all other treatment options have been exhausted, then the likelihood of benefit can justify physicians’ exposing patients to some risk. The clinical and ethical significance of the risk in DBS underscores the obligation of physicians to obtain fully informed consent from patients undergoing the procedure. (shrink)

Introduction Jamie Allen Time, of all the dimensions readily presented to experience, seems to do so most readily through things. Stuff, in supposed counter-valence to the negentropic resilience of living things, appears to us as that which degrades through time, and demarcates a more technical chronometry of sequential events. Situated outside the rotting of fruit and the ticking of clocks, a “deep time” persists. Like the ultra-hearing of the bat, and the infra-vision of the boa-constrictor, there exist living and (...) non-living agents and entities capable of revealing the fixity and finitude of our own perceptual frames for thinking and understanding. The recordings presented here consist of four extracts of documents made in deep geological repository sites (for the storage of nuclear waste). Here re-presented are the Yucca Mountain Repository; HADES, in Mol, Belgium; Gorleben in Germany and a further recording from Forsmark in Sweden (pretty much inaudible behind a loop of a pop song). These recordings are imagined acoustic amplifications of deep time, just as the astronomer’s telescope is (thought of a certain way), also a time machine. Stars and nuclear waste are unapparent objects of temporal thought. Andy Weir is an artist from London researching effects of deprioritised subjectivity and contemporary art. This project draws on work developing sonic fictions, stealthy earworms, and micropolitical agencies. Prompted for further thoughts about the recordings presented here, he offered up the interspersed discussion included. —JA Yucca Mountain Repository, Nevada, USA by continent I became interested in these sites originally as spaces that allude to a time outside of the human (‘deep time’) as they are designed to store waste ‘without future maintenance’. The very fact of thinking about these spaces or working on them—engineering etc.. (as I’m particularly interested them in a kind of practice rather than just an object of thought), in other words, forces a confrontation with thought of the extinction of humanity. I was interested in this as a production of affect at odds with the expected ‘ironic, can be whatever you like’ interpretive condition of contemporary art (art under the condition of neoliberalism, say, where the individual subject is prioritised as a free autonomous producer of the meaning of the work) When I thought about this a bit though it ran into paradoxes—yes, I could allude to deep time, but in doing so I just allude to its un-representability, drawing attention to the limits of representation and so reaffirming it—I was stuck in a representation/non-representational negative dialectic. In trying to somehow create a figure for deep time I was either reducing it to my description of it, or presenting it as irreducible. HADES Facility, Mol, Belgium by continent I don’t think I’ve escaped this in the work but my response to it was to create a sonic-fiction. This was based on the idea of a viral transmission of the affect of deep time (this is the ‘pyroclastic-soaked chrono-dread’) through receiving apparatuses, transforming the screen into an intercessor or mediating lure for the outside, a site of exposure multiplying virulently through its dissemination, invoking as much as trying to represent these spaces, the sounds as durations of exposure to contagious materials, and fictions as a way of excavating the strangeness of a world opaque to subjective reconfiguration... Testing out I suppose ways that art could start thinking about figuring the reality of ecological crisis. Gorleben Repository, Lower Saxony, Germany by continent While everything remains at the level of fiction I think the work is problematic. It doesn’t really model anything, giving too much authority to either romantic abandonment or the recuperation of romantic abandonment under its description by theory/philosophy, all contained and controlled by me within a fairly limited condition of what art can do. Deep Time Contagion is precisely a materialisation of and transmission of this paradox (i.e. with screen-media can only present deep time as unrepresentable or draw attention to an inability to present it) taking the comfort/panic induced by this paradox as its material. I’m working now on some new projects that take this as a point of departure. Forsmark Repository, Sweden (Robitussin Mix) by continent. (shrink)

The phenomenological effects of deep brain stimulation (DBS) on the self of the patient remains poorly understood and under described in the literature, despite growing evidence that a significant number of patients experience postoperative neuropsychiatric changes. To address this lack of phenomenological evidence, we conducted in-depth, semistructured interviews with 17 patients with Parkinson's disease who had undergone DBS. Exploring the subjective character specific to patients' experience of being implanted gives empirical and conceptual understanding of the potential phenomenon of DBS-induced (...) self-estrangement. Our study concluded that (1) the more patients preoperatively felt alienated by their illness, the more they experienced postoperative self-estrangement, and (2) the notion of self-estrangement seems to exist in association with certain common qualitative characters, namely, loss of control, which reflects a deteriorative estrangement, and distorted perception of capacities, which reveals a restorative estrangement. These findings indicate that subjective self-reports help us to understand some aspects of the potential phenomenon of DBS-induced self-estrangement. (shrink)

The novel coronavirus disease is regarded as one of the most imminent disease outbreaks which threaten public health on various levels worldwide. Because of the unpredictable outbreak nature and the virus’s pandemic intensity, people are experiencing depression, anxiety, and other strain reactions. The response to prevent and control the new coronavirus pneumonia has reached a crucial point. Therefore, it is essential—for safety and prevention purposes—to promptly predict and forecast the virus outbreak in the course of this troublesome time to (...) have control over its mortality. Recently, deep learning models are playing essential roles in handling time-series data in different applications. This paper presents a comparative study of two deep learning methods to forecast the confirmed cases and death cases of COVID-19. Long short-term memory and gated recurrent unit have been applied on time-series data in three countries: Egypt, Saudi Arabia, and Kuwait, from 1/5/2020 to 6/12/2020. The results show that LSTM has achieved the best performance in confirmed cases in the three countries, and GRU has achieved the best performance in death cases in Egypt and Kuwait. (shrink)

Among the divers factors that have encouraged and sustained scientific inquiry through its long history are two pervasive human concerns which provide, I think, the basic motivation for all scientific research. One of these is man's persistent desire to improve his strategic position in the world by means of dependable methods for predicting and, whenever possible, controlling the events that occur in it. The extent to which science has been able to satisfy this urge is reflected impressively in the vast (...) and steadily widening range of its technological applications. But besides this practical concern, there is a second basic motivation for the scientific quest, namely, man's insatiable intellectual curiosity, his deep concern to know the world he lives in, and to explain, and thus to understand, the unending flow of phenomena it presents to him. (shrink)

Continuous deep sedation at the end of life is a practice that has been the topic of considerable ethical debate, for example surrounding its perceived similarity or dissimilarity with physician-assisted dying. The practice is generally considered to be legal as a form of symptom control, although this is mostly only assumed. France has passed an amendment to the Public Health Act that would grant certain terminally ill patients an explicit right to continuous deep sedation until they pass (...) away. Such a framework would be unique in the world. In this paper we will highlight and reflect on four relevant aspects and shortcomings of the proposed bill. First, that the bill suggests that continuous deeps sedation should be considered as a sui generis practice. Second, that it requires that sedation should always be accompanied by the withholding of all artificial nutrition and hydration. In the most recently amended version of the legal proposal it is stated that life sustaining treatments are withheld unless the patient objects. Third, that the French bill would not require that the suffering for which continuous deep sedation is initiated is unbearable. Fourth, the question as to whether the proposal should be considered as a way to avoid having to decriminalise euthanasia and/or PAS or, on the contrary, as a veiled way to decriminalise these practices. The French proposal to amend the Public Health Act to include a right to continuous deep sedation for some patients is a unique opportunity to clarify the legality of continuous deep sedation as an end-of-life practice. Moreover, it would recognize that the practice of continuous deep sedation raises ethical and legal issues that are different from those raised by symptom control on the one hand and assisted dying on the other hand. Nevertheless, there are still various issues of significant ethical concern in the French legislative proposal. (shrink)

Vertebrates respond to light with more than just their eyes. In this article, we speculate on the intriguing possibility that a link remains between non‐visual opsins and neurohormonal systems that control neuronal circuit formation and activity in mammals. Historically, the retina and pineal gland were considered the only significant light‐sensing tissues in vertebrates. However over the last century, evidence has accumulated arguing that extra‐ocular tissues in vertebrates influence behavior through non‐image‐forming photoreception. One such class of extra‐ocular light detectors are (...) the long mysterious deep brain photoreceptors. Here, we review recent findings on the cellular identity and the function of deep brain photoreceptors controlling behavior and physiology in zebrafish, and discuss their implications. (shrink)

'Brainjacking’ refers to the exercise of unauthorized control of another’s electronic brain implant. Whilst the possibility of hacking a Brain–Computer Interface (BCI) has already been proven in both experimental and real-life settings, there is reason to believe that it will soon be possible to interfere with the software settings of the Implanted Pulse Generators (IPGs) that play a central role in Deep Brain Stimulation (DBS) systems. Whilst brainjacking raises ethical concerns pertaining to privacy and physical or psychological harm, (...) we claim that the possibility of brainjacking DBS raises particularly profound concerns about individual autonomy, since the possibility of hacking such devices raises the prospect of third parties exerting influence over the neural circuits underpinning the subject’s cognitive, emotional and motivational states. However, although it seems natural to assume that brainjacking represents a profound threat to individual autonomy, we suggest that the implications of brainjacking for individual autonomy are complicated by the fact that technologies targeted by brainjacking often serve to enhance certain aspects of the user’s autonomy. The difficulty of ascertaining the implications of brainjacking DBS for individual autonomy is exacerbated by the varied understandings of autonomy in the neuroethical and philosophical literature. In this paper, we seek to bring some conceptual clarity to this area by mapping out some of the prominent views concerning the different dimension of autonomous agency, and the implications of brainjacking DBS for each dimension. Drawing on three hypothetical case studies, we show that there could plausibly be some circumstances in which brainjacking could potentially be carried out in ways that could serve to enhance certain dimensions of the target’s autonomy. Our analysis raises further questions about the power, scope, and necessity of obtaining prior consent in seeking to protect patient autonomy when directly interfering with their neural states, in particular in the context of self-regulating closed-loop stimulation devices. (shrink)

Advanced biological brains are by nature open-ended opportunistic controllers. Such controllers compute, pretty much on a moment-to-moment basis, what problem-solving resources are readily available and recruit them into temporary problem-solving wholes. Neural plasticity, exaggerated in our own species, makes it possible for such resources to become factored deep into both our cognitive and physical problem-solving routines. One way to think about this is to depict the biological brain as a master of what I shall dub ‘ecological control’. Ecological (...) control is the kind of top-level control that does not micro-manage every detail, but rather encourages substantial devolvement of power and responsibility. This kind of control allows much of our skill at walking to reside in the linkages and elastic properties of muscles and tendons. And it allows much of our prowess at thought and reason to depend upon the robust and reliable operation, often in dense brain-involving loops, of a variety of non-biological problem-solving resources spread throughout our social and technological surround. Are the complex distributed systems that result in some sense ‘out of control’, beyond the reach of useful governance? I shall argue that they are not, although understanding them requires us to re-think some key ideas about control and the nature of the self. To make this case, I shall first examine some strategies for efficient, external opportunity exploiting control in simple systems. I shall then argue that many of the same lessons apply to the case of higher-level human problem-solving. (shrink)

Deep Brain Stimulation is currently being investigated as an experimental treatment for patients suffering from treatment-refractory AN, with an increasing number of case reports and small-scale trials published. Although still at an exploratory and experimental stage, initial results have been promising. Despite the risks associated with an invasive neurosurgical procedure and the long-term implantation of a foreign body, DBS has a number of advantageous features for patients with SE-AN. Stimulation can be fine-tuned to the specific needs of the particular (...) patient, is relatively reversible, and the technique also allows for the crucial issue of investigating and comparing the effects of different neural targets. However, at a time when DBS is emerging as a promising investigational treatment modality for AN, lesioning procedures in psychiatry are having a renaissance. Of concern it has been argued that the two kinds of interventions should instead be understood as rivaling, yet “mutually enriching paradigms” despite the fact that lesioning the brain is irreversible and there is no evidence base for an effective target in AN. We argue that lesioning procedures in AN are unethical at this stage of knowledge and seriously problematic for this patient group, for whom self-control is particularly central to wellbeing. They pose a greater risk of major harms that cannot justify ethical equipoise, despite the apparent superiority in reduced short term surgical harms and lower cost. (shrink)

Vertebrates respond to light with more than just their eyes. In this article, we speculate on the intriguing possibility that a link remains between non‐visual opsins and neurohormonal systems that control neuronal circuit formation and activity in mammals. Historically, the retina and pineal gland were considered the only significant light‐sensing tissues in vertebrates. However over the last century, evidence has accumulated arguing that extra‐ocular tissues in vertebrates influence behavior through non‐image‐forming photoreception. One such class of extra‐ocular light detectors are (...) the long mysterious deep brain photoreceptors. Here, we review recent findings on the cellular identity and the function of deep brain photoreceptors controlling behavior and physiology in zebrafish, and discuss their implications. (shrink)

Postmodernity has brought new forms of social control which are exercised through new forms of communication. Paradoxically, however, postmodernity also seemed to be heading towards the exaltation of the individual in their absolute freedom. The 20 th century pushed, in the name of science and progress, the secularization of Western societies, often distancing people from their traditional community ties, including ties to the ecclesial community. Thus, the postmodern individual initially appeared free of ancestral community pressures. However, subtle new forms (...) of social control have replaced traditional ones. Mechanisms such as social media, new forms of work and sexual exploitation, or the impossibility of maintaining privacy in the face of the power of private and public corporations, thus expose the individual to the asocial elements. Frequently, these new social control mechanisms (a clear example being the leadership of the WHO in the policies implemented worldwide during the COVID-19 pandemic) are presented to us not as repressive, but scientifically and paternally protective. In this context, the vindication of religious freedom and the community experience of faith represent decisive touchstones for the vitality and validity of a social and political order in which the personal being is truly the highest value. The authors of this monograph are professors, some of them with twenty or thirty years of university teaching, others halfway between Generation X and Y, but all with a deep vocation as teachers called to understanding the world around them. A vocation to collaborate with their students so that the seed of love for the knowledge of reality and the joyful experience of contact with the truth may bear fruit in them. Such an experience only makes sense as a shared experience. And this is what the authors of this monograph usually do: share their concerns, worries, and research. In formal terms, this shared experience has been developing in recent times under the mantle of research projects such as the one that forms the basis of this issue of _Scientia et Fides_: “Social Control, Postmodernism and Political Community” (COSOPOC). Sharing the results of their research is also a way of inviting the specialized public to this experience without forgetting that the first circle of this community work is formed by the students themselves, whom this monograph aims to serve as a stimulus in their personal trajectories as students, as future professionals and, above all, as people in charge of their actions and responsible and capable of facing the worrying challenges that face us all. (from the Editorial). (shrink)

Eye-tracking technology has become a powerful tool for biomedical-related applications due to its simplicity of operation and low requirements on patient language skills. This study aims to use the machine-learning models and deep-learning networks to identify key features of eye movements in Alzheimer's Disease (AD) under specific visual tasks, thereby facilitating computer-aided diagnosis of AD. Firstly, a three-dimensional (3D) visuospatial memory task is designed to provide participants with visual stimuli while their eye-movement data are recorded and used to build (...) an eye-tracking dataset. Then, we propose a novel deep-learning-based model for identifying patients with Alzheimer's Disease (PwAD) and healthy controls (HCs) based on the collected eye-movement data. The proposed model utilizes a nested autoencoder network to extract the eye-movement features from the generated fixation heatmaps and a weight adaptive network layer for the feature fusion, which can preserve as much useful information as possible for the final binary classification. To fully verify the performance of the proposed model, we also design two types of models based on traditional machine-learning and typical deep-learning for comparison. Furthermore, we have also done ablation experiments to verify the effectiveness of each module of the proposed network. Finally, these models are evaluated by four-fold cross-validation on the built eye-tracking dataset. The proposed model shows 85% average accuracy in AD recognition, outperforming machine-learning methods and other typical deep-learning networks. (shrink)

Cognition in living entities—and their social groupings or institutional artifacts—is necessarily as complicated as their embedding environments, which, for humans, includes a particularly rich cultural milieu. The asymptotic limit theorems of information and control theories permit construction of a new class of empirical ‘regression-like’ statistical models for cognitive developmental processes, their dynamics, and modes of dysfunction. Such models may, as have their simpler analogs, prove useful in the study and re-mediation of cognitive failure at and across the scales and (...) levels of organization that constitute and drive the phenomena of life. These new models particularly focus on the roles of sociocultural environment and stress, in a large sense, as both trigger for the failure of the regulation of bio-cognition and as ‘riverbanks’ determining the channels of pathology, with implications across life-course developmental trajectories. We examine the effects of an embedding cultural milieu and its socioeconomic implementations using the ‘lenses’ of metabolic optimization, control system theory, and an extension of symmetry-breaking appropriate to information systems. A central implication is that most, if not all, human developmental disorders are fundamentally culture-bound syndromes. This has deep implications for both individual treatment and public health policy. (shrink)

Implanted medical devices—for example, cardiac defibrillators, deep brain stimulators, and insulin pumps—offer users the possibility of regaining some control over an increasingly unruly body, the opportunity to become part “cyborg” in service of addressing pressing health needs. We recognize the value and effectiveness of such devices, but call attention to what may be less clear to potential users—that their vulnerabilities may not entirely disappear but instead shift. We explore the kinds of shifting vulnerabilities experienced by people with Parkinson’s (...) disease (PD) who receive therapeutic deep brain stimulators to help control their tremors and other symptoms of PD. (shrink)

Mitochondrial dysfunction underlies a vast array of chronic disorders across the life span. The asymptotic limit theorems of information and control theories, supplemented by symmetry-breaking phase transition arguments adapted from physical theory, give deep insight into canonical mechanisms of cognition and regulation associated with such dysfunction. The probability models studied here can provide a foundation for the development of statistical tools useful in clinical and public health address of those disorders.

The present study examined deep gray matter perfusion in neonates with congenital heart disease (CHD) with arterial spin labeling magnetic resonance imaging preoperatively. We found that neonates with cyanotic CHD showed lower right thalamus compared with controls and lower right basal ganglia perfusion compared with acyanotic CHD. When the CHD group was assessed as a whole, it showed slightly decreased left thalamus perfusion compared with controls. The results suggest that cardiac physiology plays a crucial part in changes in regional (...) cerebral perfusion. Perfusion with arterial spin labeling may be a useful marker of high risk for impaired cerebral blood flow auto-regulation and cerebral hypoperfusion in neonates with CHD. (shrink)

The human masticatory system is a complex functional unit characterized by a multitude of skeletal components, muscles, soft tissues, and teeth. Muscle activation dynamics cannot be directly measured on live human subjects due to ethical, safety, and accessibility limitations. Therefore, estimation of muscle activations and their resultant forces is a longstanding and active area of research. Reinforcement learning (RL) is an adaptive learning strategy which is inspired by the behavioral psychology and enables an agent to learn the dynamics of an (...) unknown system via policy-driven explorations. The RL framework is a well-formulated closed-loop system where high capacity neural networks are trained with the feedback mechanism of rewards to learn relatively complex actuation patterns. In this work, we are building on a deep RL algorithm, known as the Soft Actor-Critic, to learn the inverse dynamics of a simulated masticatory system, i.e., learn the activation patterns that drive the jaw to its desired location. The outcome of the proposed training procedure is a parametric neural model which acts as the brain of the biomechanical system. We demonstrate the model’s ability to navigate the feasible three-dimensional (3D) envelope of motion with sub-millimeter accuracies. We also introduce a performance analysis platform consisting of a set of quantitative metrics to assess the functionalities of a given simulated masticatory system. This platform assesses the range of motion, metabolic efficiency, the agility of motion, the symmetry of activations, and the accuracy of reaching the desired target positions. We demonstrate how the model learns more metabolically efficient policies by integrating a force regularization term in the RL reward. We also demonstrate the inverse correlation between the metabolic efficiency of the models and their agility and range of motion. The presented masticatory model and the proposed RL training mechanism are valuable tools for the analysis of mastication and other biomechanical systems. We see this framework’s potential in facilitating the functional analyses aspects of surgical treatment planning and predicting the rehabilitation performance in post-operative subjects. (shrink)