The principle behind anthropomorphic robots is that the appearance and behaviours enable the pre-defined social skills that people use with each other each day to be used as a means of interaction. One of the problems with this approach is that there are many attributes of such a robot which can influence a user’s behaviour, potentially causing undesirable effects. This paper aims to identify and discuss a series of the most salient behaviour influencing factors in the literature, related to a (...) number of robot attributes. A particularly novel aspect of this work is the study of robots as monitoring or data collection devices, one of several behaviour influencing factors which has received insufficient attention. As a first step towards this, the PSA matrix is produced, which visualises the relationships between system attributes and user perceptions, grounded in empirical evidence in the literature. This matrix highlights gaps in the literature, brings together a series of salient behaviour influencing factors for the first time and gives a clear view of the state of the art. (shrink)

Computer technology and related Internet of things technology have penetrated into people’s daily life and industrial production; even in competitive sports training and competition, the Internet of things technology has also been a large number of applications. Traditional intelligent wearable devices are mainly used to calculate the steps of athletes or sports enthusiasts, corresponding physical data, and corresponding body indicators. The energy consumption calculated by these indexes is rough and the corresponding error is large. Based on this, this paper will (...) design a wearable device which can accurately calculate and monitor sports energy consumption based on relevant sensors and Internet of things technology. The corresponding core algorithm is the step counting algorithm, which can accurately calculate the relationship between human motion and the corresponding energy consumption and feed back to the intelligent device. In the experiment, the wearable device designed in this paper is compared with the traditional intelligent device. The experiment shows that the wearable device proposed in this paper is more accurate in energy consumption estimation than the traditional device, and its corresponding energy consumption is relatively small. (shrink)

Forecasting blood glucose values for patients can help prevent hypoglycemia and hyperglycemia events in advance. To this end, this study proposes an intelligent ensemble deep learning system to predict BG values in 15, 30, and 60 min prediction horizons based on historical BG values collected via continuous glucose monitoring devices as an endogenous factor and carbohydrate intake and insulin administration information as exogenous factors. Although there are numerous deep learning algorithms available, this study applied five algorithms, namely, recurrent neural (...) network, which is optimized for sequence data, and RNN-based algorithms, stacked LSTM, bidirectional LSTM, and gated recurrent unit). Then, a genetic algorithm was applied to the five prediction models to optimize their weights through ensemble techniques and to yield the final predicted BG values. The performance of the proposed model was compared to that of the autoregressive integrated moving average model as a baseline. The results show that the proposed model significantly outperforms the baseline in terms of the root mean square error and continuous glucose error grid analysis. For the valid 29 diabetic patients for the multivariate models, the RMSE was 11.08, 19.25, and 31.30 mg/DL for 15, 30, and 60 min PH, respectively. When the same data were applied to univariate models, the RMSE was 11.28, 19.99, and 33.13 mg/DL for 15, 30, and 60 min PH, respectively. Both the univariate and multivariate models showed a statistically significant difference compared with the baseline at a 5% statistical significance level. Instead of using a model with a single algorithm, applying a GA based on each output of a model with multiple algorithms was found to play a significant role in improving model performance. (shrink)

Automatized scalable healthcare support solutions allow real-time 24/7 health monitoring of patients, prioritizing medical treatment according to health conditions, reducing medical appointments in clinics and hospitals, and enabling easy exchange of information among healthcare professionals. With recent health safety guidelines due to the COVID-19 pandemic, protecting the elderly has become imperative. However, state-of-the-art health wearable device platforms present limitations in hardware, parameter estimation algorithms, and software architecture. This paper proposes a complete framework for health systems composed of multi-sensor (...) wearable health devices, high-resolution parameter estimation, and real-time monitoring applications. The framework is appropriate for real-time monitoring of elderly patients' health without physical contact with healthcare professionals, maintaining safety standards. The hardware includes sensors for monitoring steps, pulse oximetry, heart rate, and temperature using low-power wireless communication. In terms of parameter estimation, the embedded circuit uses high-resolution signal processing algorithms that result in an improved measure of the HR. The proposed high-resolution signal processing-based approach outperforms state-of-the-art HR estimation measurements using the photoplethysmography sensor. (shrink)

Higher-Order Perception (HOP) theories in the philosophy of mind are offered as explanations of what it is that makes a mental state a conscious state. According to HOP, a mental state is conscious just in case it is itself represented in a quasi-perceptual way by an internal monitor or scanning device. We start with one of the more popular objections to HOP and a seemingly innocuous concession to it: identifying the internal monitor with the faculty of attention. We show (...) how this concession undermines HOP. (shrink)

Type 1 diabetes (T1D) is a chronic illness that requires intensive lifelong management of blood glucose concentrations by means of external insulin administration. There have been substantial developments in the ways of measuring glucose levels, which is crucial to T1D self-management. Recently, continuous glucose monitoring (CGM) has allowed people with T1D to keep track of their blood glucose levels in near real-time. These devices have alarms that warn users about potentially dangerous blood glucose trends, which can often be shared (...) with ther people. CGM is consistently associated with improved glycemic control and reduced hypoglycemia and is currently recommended by doctors. However, due to the costs of CGM, only those who qualify for hospital provision or those who can personally afford it are able to use it, which excludes many people. In this paper, I argue that unequal access to CGM results in: (1) unjust health inequalities, (2) relational injustice, (3) injustice with regard to agency and autonomy, and (4) epistemic injustice. These considerations provide prima facie moral reasons why all people with T1D should have access to CGM technology. I discuss the specific case of CGM policy in the Netherlands, which currently only provides coverage for a small group of people with T1D, and argue that, especially with additional considerations of cost-effectiveness, the Dutch government ought to include CGM in basic health care insurance for all people with T1D. (shrink)

Wearable devices are increasingly present in the health context, as tools for biomedical research and clinical care. In this context, wearables are considered key tools for a more digital, personalised, preventive medicine. At the same time, wearables have also been associated with issues and risks, such as those connected to privacy and data sharing. Yet, discussions in the literature have mostly focused on either technical or ethical considerations, framing these as largely separate areas of discussion, and the contribution of wearables (...) to the collection, development, application of biomedical knowledge has only partially been discussed. To fill in these gaps, in this article we provide an epistemic (knowledgerelated) overview of the main functions of wearable technology for health: monitoring, screening, detection, and prediction. On this basis, we identify 4 areas of concern in the application of wearables for these functions: data quality, balanced estimations, health equity, and fairness. To move the field forward in an effective and beneficial direction, we present recommendations for the 4 areas: local standards of quality, interoperability, access, and representativity. (shrink)

Diagnostic devices do more than just passively register facts. They intervene in the situations in which they are put to use. The question addressed here is what this general remark may imply in specific cases. To answer this question a specific case is being analysed: that of the blood sugar measurement device that people with diabetes may use to monitor their own blood sugar levels. This device not only allows the patients concerned to better approach normal blood sugar (...) levels, but alters what counts as normal in the first place. Using the device may shift people's attention away from their physical sensations towards the numbers measured, but it may also help them to increase their own physical self-awareness. Self-monitoring finally (something that the devices have made possible) makes patients less dependent on professionals, but it requires them to engage in self-disciplining and binds them to the outcomes of their measurement activities: their own blood sugar levels. (shrink)

Prior research suggests that voluntary environmental governance mechanisms operate to enhance a firm’s environmental legitimacy as opposed to being a driver of proactive environmental performance activities. To understand how these mechanisms contribute to the firm’s environmental legitimacy, we investigate whether environmental corporate governance characteristics are associated with voluntary environmental disclosure. We examine an increasingly important attribute of a firm’s disclosure setting, namely the disclosure of greenhouse gas (GHG) information. GHG information represents proprietary non-financial information about the firm’s exposure to environmental (...) concerns and is related to the firm’s operations and future profitability. Thus, we expect governance participants would view such information as a potentially important strategic device for managing stakeholders’ demands for information concerning environmental risks. We find that the presence of an environmental committee and a Chief Sustainability Officer (CSO) is positively associated with the likelihood of GHG disclosure and that CSOs are associated with disclosure transparency. Further analysis reveals that the likelihood of disclosure is associated with committee size, number of committee meetings, expertise of committee members and CSO, and overlap between the environmental committee and audit committee. Only expertise of the environmental committee members and the CSO are associated with GHG disclosure transparency, while larger committees tend to be associated with lower transparency. Our results are particularly important to those with interests in evaluating the potential role that corporate governance mechanisms play in responding to stakeholder concerns about environmental risks. Directors and officers who are considering appointment to similar governance positions, may wish to consider what attributes would make such governance positions more influential. (shrink)

A recent advent has been seen in the usage of Internet of things (IoT) for autonomous devices for exchange of data. A large number of transformers are required to distribute the power over a wide area. To ensure the normal operation of transformer, live detection and fault diagnosis methods of power transformers are studied. This article presents an IoT-based approach for condition monitoring and controlling a large number of distribution transformers utilized in a power distribution network. In this article, (...) the vibration analysis method is used to carry out the research. The results show that the accuracy of the improved diagnosis algorithm is 99.01, 100, and 100% for normal, aging, and fault transformers. The system designed in this article can effectively monitor the healthy operation of power transformers in remote and real-time. The safety, stability, and reliability of transformer operation are improved. (shrink)

The definition of what constitutes minimal monitoring rests not so much on a scientific analysis of physiologic variables and their specificity, sensitivity, and predictiveness, but more on a usage pattern in a given community or country. In the United States, the minimal monitoring standards accepted in the majority of institutions and used for routine anesthesia care of patients not classified as high risk include (1) the alert anesthesiologist or nurse anesthetist observer, (2) an electrocardiogram, (3) a blood pressure (...) measuring device, and (4) an oxygen analyzer in the breathing circuit. To this basic cluster of monitors can be added a finger plethysmograph, a neuromuscular junction monitor, a temperature probe, and an esophageal/precordial stethoscope which are used in many communities. In the near future we expect to see a capnograph and a pulse oximeter added to this list, and later on the automated anesthesia record. (shrink)

This debate article explores how smart technologies may create a double-edged sword for patient safety and effective therapeutic relationships. Increasing utilization of health monitoring devices by patients will likely become an important aspect of self-care and preventive medicine. It may also help to enhance accurate symptom reports, diagnoses, and prompt referral to specialist care where appropriate. However, the development, marketing, and use of such technology raise significant ethical implications for therapeutic relationships and patient safety. Drawing on lessons learned from (...) other direct-to-consumer health products such as genetic testing, this article explores how smart technology can also pose regulatory challenges and encourage overutilization of healthcare services. In order for smart technology to promote safer care and effective therapeutic encounters, the technology and its utilization must be safe. This article argues for unified regulatory guidelines and better education for both healthcare providers and patients regarding the benefits and risks of these devices. (shrink)

Language sample analysis is an important practice for providing a culturally sensitive and accurate assessment of a child's language abilities. A child's usage of literate language devices in narrative samples has been shown to be a critical target for evaluation. While automated scoring systems have begun to appear in the field, no such system exists for conducting progress-monitoring on literate language usage within narratives. The current study aimed to develop a hard-coded scoring system called the Literate Language Use in (...) Narrative Assessment, to automatically evaluate six aspects of literate language in non-coded narrative transcripts. LLUNA was designed to individually score six literate language elements. The interrater reliability of LLUNA with an expert scorer, as well as its' reliability compared to certified undergraduate scorers was calculated using a quadratic weighted kappa. Results indicated that LLUNA met strong levels of interrater reliability with an expert scorer on all six elements. LLUNA also surpassed the reliability levels of certified, but non-expert scorers on four of the six elements and came close to matching reliability levels on the remaining two. LLUNA shows promise as means for automating the scoring of literate language in LSA and narrative samples for the purpose of assessment and progress-monitoring. (shrink)

Personal Health Monitoring (PHM) uses electronic devices which monitor and record health-related data outside a hospital, usually within the home. This paper examines the ethical issues raised by PHM. Eight themes describing the ethical implications of PHM are identified through a review of 68 academic articles concerning PHM. The identified themes include privacy, autonomy, obtrusiveness and visibility, stigma and identity, medicalisation, social isolation, delivery of care, and safety and technological need. The issues around each of these are discussed. The (...) system / lifeworld perspective of Habermas is applied to develop an understanding of the role of PHMs as mediators of communication between the institutional and the domestic environment. Furthermore, links are established between the ethical issues to demonstrate that the ethics of PHM involves a complex network of ethical interactions. The paper extends the discussion of the critical effect PHMs have on the patient’s identity and concludes that a holistic understanding of the ethical issues surrounding PHMs will help both researchers and practitioners in developing effective PHM implementations. (shrink)

This paper presents research regarding the monitoring of the brain and the adequacy of anesthesia during surgery. Particular variables are derived from EEG and ECG signals and are correlated to anesthetic gas (sevoflurane) concentration, in pediatric anesthesia. The methods used for parameter extraction are based on change detection theory and time-frequency representation. Preliminary results show that the expired anesthetic gas concentration modulates both the heart rate variability and the duration of the burst suppression. Monitors of the central nervous system (...) and autonomic nervous system activities can be expected to be based on these variables. (shrink)

This debate article explores how smart technologies may create a double-edged sword for patient safety and effective therapeutic relationships. Increasing utilization of health monitoring devices by patients w...

Background: Nosocomial infections represent a serious challenge for healthcare systems worldwide. Adherence to hand hygiene plays a major role in infection prevention and control. These adherence rates can be improved through behaviour tracking innovations. This requires the systems to be widely implemented and accepted. Therefore, both a systematic analysis of the normative issues related and the evaluation of technology acceptance are equally important. Objectives: To explore and describe relevant aspects regarding the acceptance of technology and ethical implications using a tracking (...) device to measure and improve adherence to hand hygiene. Research design: A quantitative study with a descriptive design was performed. Participants and research context: A total of 75 questionnaires were collected in three hospitals in Germany. Acceptance of technology was measured with n = 60 participants and ethical assessment with n = 15 participants. Ethical considerations: Ethical approval for this study was obtained from the institutional review board. Findings: The acceptance of technologies improving hygiene in general was good. The experience with technologies in general and the acceptance of the specific technology ) was moderate. There was a significant positive correlation between the acceptance and experience of technology in general. Ethical concerns played a minor role. The need for practical support was a key topic. Discussion: Study participants accepted technologies improving hygiene; however, the specific device implemented was only moderately accepted. This creates specific opportunities in the implementation process for higher later acceptance. More practical support and an increase in experience may create opportunities for device implementation with high acceptance and low ethical concerns. Conclusion: Study results indicate a vast potential for improving the implementation process of hand hygiene technologies. Ethical concerns in this study did not seem to be a relevant barrier for successful implementation of hand hygiene technologies. (shrink)

The 2018 Varsity Medical Ethics debate convened upon the motion: “This house believes that the constant monitoring of our health does more harm than good”. This annual debate between students from the Universities of Oxford and Cambridge is now in its tenth year. This year’s debate was hosted at the Oxford Union on 8th of February 2018, with Oxford winning for the Opposition, and was the catalyst for the collation and expansion of ideas in this paper.New technological devices have (...) the potential to enhance patient autonomy, improve patient safety, simplify the management of chronic diseases, increase connectivity between patients and healthcare professionals and assist individuals to make lifestyle changes to improve their health. However, these are pitted against an encroachment of technology medicalising the individual and home, an exacerbation of health inequalities, a risk to the security of patient data, an alteration of the doctor-patient relationship dynamic and an infringement on individual self-identity. This paper will draw upon and develop these concepts, while contending arguments for and against constant health monitoring. This is not a review of medical devices and health monitoring, but a reflective development and more detailed elaboration of the main points highlighted in the 2018 Varsity Medical Ethics debate. (shrink)

The 2018 Varsity Medical Ethics debate convened upon the motion: “This house believes that the constant monitoring of our health does more harm than good”. This annual debate between students from the Universities of Oxford and Cambridge is now in its tenth year. This year’s debate was hosted at the Oxford Union on 8th of February 2018, with Oxford winning for the Opposition, and was the catalyst for the collation and expansion of ideas in this paper.New technological devices have (...) the potential to enhance patient autonomy, improve patient safety, simplify the management of chronic diseases, increase connectivity between patients and healthcare professionals and assist individuals to make lifestyle changes to improve their health. However, these are pitted against an encroachment of technology medicalising the individual and home, an exacerbation of health inequalities, a risk to the security of patient data, an alteration of the doctor-patient relationship dynamic and an infringement on individual self-identity. This paper will draw upon and develop these concepts, while contending arguments for and against constant health monitoring. This is not a review of medical devices and health monitoring, but a reflective development and more detailed elaboration of the main points highlighted in the 2018 Varsity Medical Ethics debate. (shrink)

The Medication Event Monitoring System (MEMS) is a relatively new device designed to overcome some of the disadvantages of traditional adherence-measuring techniques. MEMS has also been found useful in tracking adherence behaviour without the need to visit patients frequently. In this study each patient was given a pre-filled, labelled MEMS bottle and cap. Patients were monitored for 24 weeks. For patients specifically studied, there were periods when drug levels may have been low and some exhibited erratic medication-taking behaviour. (...) It is concluded that MEMS can measure adherence behaviour objectively, and so might be used to improve prescribing decisions, identify drug wastage and improve carer support. Further research is needed before the routine use of electronic medication monitoring can be recommended. (shrink)

Digital medicine is a medical treatment that combines technology with drug delivery. The promises of this combination are continuous and remote monitoring, better disease management, self-tracking, self-management of diseases, and improved treatment adherence. These devices pose ethical challenges for patients, providers, and the social practice of medicine. For patients, having both informed consent and a user agreement raises questions of understanding for autonomy and informed consent, therapeutic misconception, external influences on decision making, confidentiality and privacy, and device dependability. (...) For providers, digital medicine changes the relationship where trust can be verified, clinicians can be monitored, expectations must be managed, and new liability risks may be assumed. Other ethical questions include direct third-party monitoring of health treatment, affordability, and planning for adverse events in the case of device malfunction. This article seeks to lay out the ethical landscape for the implementation of such devices in patient care. (shrink)

Mobile health devices pose novel questions at the intersection of philosophy and technology. Many such applications not only collect sensitive data, but also aim at persuading users to change their lifestyle for the better. A major concern is that persuasion is paternalistic as it intentionally aims at changing the agent’s actions, chipping away at their autonomy. This worry roots in the philosophical conviction that perhaps the most salient feature of living autonomous lives is displayed via agency as opposed to patiency—our (...) lives go well in virtue of what we do, rather than what happens to us. Being persuaded by a device telling us how to conduct our lives seemingly renders the agent passive, an inert recipient of technological commands. This agential bias, however, has led to a marginalization of patiential characteristics that are just as much part of our lives as are agential characteristics. To appreciate the inherent interlocking of acting and being acted upon, it is vital to acknowledge that agency and patiency are correlates, not mutually exclusive opposites. Furthermore, it is unclear whether an action can only count as agential so long as its causes are internal. Drawing on the extended mind and extended will framework, I argue that mHealth applications merely serve as volitional aids to the agent’s internal cognition. Autonomously set goals can be achieved more effectively via technology. To be persuaded by an mHealth device does not mainly—let alone exclusively—emphasize patiency; on the contrary, it can be an effective tool for technologically enhancing agency. (shrink)

In an increasingly technology-textured environment, smart, intelligent and responsive technology has moved onto the body of many individuals. Mobile phones, smart watches and wearable activity trackers are just some of the technologies that are guiding, nudging, monitoring and reminding individuals in their day-to-day lives. These devices are designed to enhance and support their human users, however, there is a lack of attention to the unintended consequences, the technology non-neutrality and the darker sides of becoming human-tech hybrids. Using the extended (...) mind theory and agential intra-action, we aim at exploring how human-technology hybrids gain collective skills and how these are put to use; how agency is expressed and how this affects the interactions; and what the darker sides are of being a human-technology hybrid. Using a qualitative method, we analyze the experiences of using a wearable activity tracker, with a specific focus on how the tracker and the individual solve tasks, share competences, develop new skills and negotiate for agency and autonomy. We contribute with new insight on human-tech hybridity and present a concept referred to as the agency pendulum, reflecting the dynamism of agency. Finally, we demonstrate how the extended mind theory and agential intra-action as a combined theoretical lens can be used to explore human-tech hybridity. (shrink)

There are many real-world applications like healthcare systems, job monitoring, well-being and personal fitness tracking, monitoring of elderly and frail people, assessment of rehabilitation and follow-up treatments, affording Fall Detection (FD) and ADL (Activity of Daily Living) identification, separately or even at a time. However, the two main drawbacks of these solutions are that most of the times, the devices deployed are obtrusive (devices worn on not quite common parts of the body like neck, waist and ankle) and (...) the poor battery life. Thus, this work proposes a low-power classification algorithm based on an Ensemble of KNN and K-Means algorithms (EKMeans) to identify Falls and High-Intensity ADL events such as running, jogging and climbing up stairs. The input of EKMeans are triaxial accelerometer data gathered from wrist-wearable devices. The proposal will be validated on the Fall&ADL publicly available datasets UMAFall, UCIFall and FallAllD, considering two kinds of activity labelling: Two-Class and Multi-Class. An exhaustive comparative study between our proposal, and the baseline algorithms KNN and a feed-forward Neural Network (NN) is deployed, where EKMeans outperformed clearly the Specificity (ADL classification) of the KNN and NN for the three datasets. Finally, a comparative battery consumption study has been included deploying the analyzed algorithms in a WearOS smartwatch, where EKMeans drains the battery from 100% to 0% in 27.45 hours, saving 5% and 21% concerning KNN and NN, respectively. Keywords: Human Activity Recognition, ADL Identification, Fall Detection TS Clustering, TS Classification, Wearable Devices, Low-Power HAR. (shrink)

Medical devices have been long used for odiagnostic, therapeutic or rehabilitation purposes. Currently, they can range from a low-cost portable device that is often used for personal health monitoring to high-end sophisticated equipment that can only be operated by trained professionals. Depending on the functional purposes, there are different certification or compliance markings on the device when it is sold. One common certification marking is the Conformité Européenne affixation but this has a range of certification mark numbering (...) for a variety of functional purposes. While the regulators and medical device manufacturers understand the associated significance and clinical implications, these may not be apparent to the professionals and the general public. With portable healthcare devices and mobile applications gaining popularity, better awareness of certification marking will be needed. Particularly, there are differences in the allowed functional purposes and the associated cost derivations of devices with a seemingly similar nature. A preferred approach such as an easy-to-understand notation next to any certification marking on a device can aid in differentiation without the need to digest mountainous regulatory details. (shrink)

BackgroundSolitary death (kodokushi) has recently become recognized as a social issue in Japan. The social isolation of older people leads to death without dignity. With the outbreak of COVID-19, efforts to eliminate solitary death need to be adjusted in line with changes in lifestyle and accompanying changes in social structure. Health monitoring services that utilize wearable devices may contribute to this end. Our goals are to outline how wearable devices might be used to (1) detect emergency situations involving solitary (...) older people and swiftly connect them with medical treatment, to (2) reduce the frequency of deaths that remain undiscovered and (3) to reduce social isolation by promoting social interaction. MethodsTheoretical and philosophical approaches were adopted to examine ethical issues surrounding the application of wearable devices and cloud-based information processing systems to prevent solitary death in the world with/after COVID-19.Main body(1) Technology cannot replace social connections; without social support necessary to foster understanding of the benefits of health management through wearable devices among older adults, such devices may remain unused, or not used properly. (2) Maturity of the technology; systems face the difficult task of detecting and responding to a wide range of health conditions and life-threatening events in time to avert avoidable morbidity and mortality. (3) Autonomy and personhood; promoting the voluntary use of wearable devices that are a part of larger efforts to connect isolated individuals to a community or social services might be effective. Legal force should be avoided if possible. There is some concern that landlords may require an older person to sign a contract agreeing to wear a device. The autonomy of solitary older people should be respected. (4) Governance: policies must be developed to limit access to data from wearables and the purposes for which data can be used.ConclusionIf thoughtfully deployed under proper policy constraints, wearable devices offer a way to connect solitary older people to health services and could reduce cases of solitary death while respecting the personhood of the user. (shrink)

The article focuses on exploring the directions for implementing innovative analytical-statistical technologies as a tool for monitoring and detecting corruption in the state. To achieve this goal, the author clarifies the content of key concepts, defines the essence of innovative analytical-statistical technologies, and analyzes the applications of these technologies as elements of the state’s anti-corruption policy. It is determined that modern analytical-statistical technologies are integral to information technologies, which have emerged as a separate branch of production known as the (...) information industry. Information technologies, including analytical-statistical ones, are realized through information systems, which combine technical tools (computers, communication devices and channels, peripherals, input/output devices, etc.) with software applications that facilitate the functioning of the technical components and analytical aspects, including the mathematical component (statistics). The use of analytical-statistical technologies as a tool to counter corruption at the state level is driven by the specificity of the corruption identification process. The application of relevant technologies is possible when perceiving corruption as a form of fraud. Therefore, the search for corruption in modern society requires a comprehensive approach, utilizing mathematical, analytical, and psychophysical research methods. This approach enables not only the identification but also the prediction of probable instances of abuse. Five directions for implementing innovative analytical-statistical technologies in anti-corruption activities are identified: 1) automation of data collection and processing; 2) automation of communication and office processes; 3) automation of direct management processes; 4) automation of decision-making processes and development; 5) development of expert systems. It is noted that analytical-statistical technologies find the most implementation in four of the identified directions: data collection/processing, direct management, decision support, and expert support. (shrink)

Patient self-management of disease is increasingly supported by technologies that can monitor a wide range of behavioural and biomedical parameters. Incorporated into everyday devices such as cell phones and clothes, these technologies become integral to the psychosocial aspects of everyday life. Many technologies are likely to be marketed directly to families with ill members, and families may enlist the support of clinicians in shaping use. Current ethical frameworks are mainly conceptualised from the perspective of caregivers, researchers, developers and regulators in (...) order to ensure the ethics of their own practices. This paper focuses on families as autonomous decision-makers outside the regulated context of healthcare. We discuss some morally relevant issues facing families in their decisions to monitor the health-related behaviours of loved ones. An example – remote parental monitoring of adolescent blood glucose – is presented and discussed through the lens of two contrasting accounts of ethics; one reflecting the predominant focus on health outcomes within the health technology assessment (HTA) framework and the other that attends to the broader sociocultural contexts shaping technologies and their implications. Issues discussed include the focus of assessments, informed consent and child assent, and family co-creation of system characteristics and implications. The parents’ decisions to remotely monitor their child has relational implications that are likely to influence conflict levels and thus also health outcomes. Current efforts to better integrate outcome assessments with social and ethical assessments are particularly relevant for informed decision-making about health monitoring technologies in families. (shrink)

Mainstream thought on environmental justice emphasizes disparities between populations in terms of their exposure to environmental risks. Climate change has recently shifted attention from vulnerability to responsibility, with much of the research and dissemination of results accentuating differential contributions on the part of various groups to CO2 emissions and their accumulation in the atmosphere. But efforts to monitor, mitigate and adapt to climate change are largely premised on sovereign states as the main units of analysis, and on comparisons between them (...) as the primary tool for designing policy. This approach, which reifies climate change as a technical, distant and detached issue, arrests the long overdue politicization of the atmosphere. This Article, which uses data from Israel on differentiated levels of CO2 emissions by income decile, suggests that hitherto overlooked in-country disparities in CO2 emissions are an integral part of the problem and of potential ways to tackle it. Offering a critique of attempts to use distributive justice as a basis for a global climate pact, it calls for further in-country analysis of emissions and a better understanding of how the outcomes of those attempts might become relevant to more people globally. Such insights, it argues, are essential for climate policies to become politicized and thus gain prominence and urgency in political debates, campaigns, and eventually on the executive agenda of all levels of government. (shrink)

The Internet of Things is an emerging information industry. Applying the information collection, transmission, and processing technologies in the Internet of Things technology to environmental monitoring, environmental emergency, and other environmental protection supervision fields will greatly improve the speed and accuracy of environmental supervision and facilitate the scientific development of environmental protection. Through the Internet of Things, people can obtain a large amount of reliable real-time information, and it is not easy to be affected by time, place, and environment, (...) while the wireless sensor network has the advantages of easy installation and low cost, so environmental monitoring through the Internet of Things is the future development trend. In this paper, in view of the current situation of water scarcity and serious water pollution in China, combined with the development trend and advantages of the Internet of Things, and based on the inadequacy of the existing microbial sensor data collection equipment, we propose a design scheme of microbial concentration monitoring system for waters based on IoT. The system is based on Zig Bee wireless sensor network to build a common data acquisition platform and design special hardware to carry out high-precision microbial sensor data acquisition in water and through the PC to complete the real-time measurement data storage, waveform display, and data processing. In this paper, the schematic diagram and PCB board design of the system hardware module NUC120 main control board, CC2530 RF board, Wi-Fi wireless communication module, and high-precision ADC acquisition module are completed and fabricated. Then, the four modules are combined to realize the development of the data aggregation node and data acquisition node of the dedicated Zig Bee wireless network hardware device. (shrink)

Purpose Advances in electronic performance monitoring have raised employees’ concerns regarding the invasion of privacy and erosion of trust. On the other hand, EPM promises to improve performance and processes. This paper aims to focus on how the alignment of EPM design and organizational culture through effective organizational mechanisms can address privacy concerns, and, hence, positively affect employees’ perception toward technology. Design/methodology/approach Based on a theoretical lens extending two conceptual frameworks, a qualitative approach was used to analyze interview data (...) collected from a comparative case study of two organizations in the USA and Qatar within the oil and gas sector. These two contexts were selected to emphasize the cross-cultural and organizational differences in employees’ acceptance of EPM. Findings The study revealed that national and corporate cultures affected employees’ perception and acceptance of monitoring in both countries. Because of diversity, though EPM was better accepted in Qatar, as they are an easy way to enforce standardization and to push employees to adapt to a dominating corporate culture. Conversely, in the USA where culture is more innovation-oriented, organizational mechanisms shifted the perceptions of EPM to being mean to obtain feedback rather than to impose standards. Research limitations/implications This qualitative study is based on a descriptive comparative case study of two organizations with two cultural contexts. The limited sample size and cross-sectional nature of data may need to be extended to a larger cultural scope that is observed over a longer period to safely generalize the findings. Practical implications Decision-makers in multinational corporations with different cultural backgrounds may benefit of this study’s outcomes, as it emphasizes the importance of the fit between EPM designs and the cultural settings. Furthermore, organizations aiming to conduct analytics on EPM data have to justify and prove its benefits to employees to facilitate acceptance. Social implications The study shows that employees in Qatar have a different cultural frame of reference in their perception of fairness and ethics than their counterparts in the USA because of changes in the meaning of social relations, personal goals and behavioral norms. Originality/value The originality of this study lays in its empirical validation of a composite framework examining both national and corporate cultures on employees’ reactions to EPM systems. It also proves the critical importance of organizational mechanisms to align the EPM design with the organization cultural settings. (shrink)

pt. 1. Sanskrit text with commentaries, critically edited with notes and introd. by Anandshankar B. Dhruva.

This study focuses on the devices implemented in classical Indian texts on ritual and language in order to develop a structure of rules in an economic and systematic way. These devices presuppose a spatial approach to ritual and language, one which deals for instance with absences as substitutions within a pre-existing grid, and not as temporal disappearances. In this way, the study reveals a key feature of some among the most influential schools of Indian thought. The sources are Kalpasūtra, Vyākaraṇa (...) and Mīmāṃsā, three textual traditions which developed alongside each other, sharing - as the volume shows - common presuppositions and methodologies. The book will be of interest for Sanskritists, scholars of ritual exegesis and of the history of linguistics. - Cover. (shrink)

Why is a red face not really red? How do we decide that this book is a textbook or not? Conceptual spaces provide the medium on which these computations are performed, but an additional operation is needed: Contrast. By contrasting a reddish face with a prototypical face, one gets a prototypical ‘red’. By contrasting this book with a prototypical textbook, the lack of exercises may pop out. Dynamic contrasting is an essential operation for converting perceptions into predicates. The existence of (...) dynamic contrasting may contribute to explaining why lexical meanings correspond to convex regions of conceptual spaces. But it also explains why predication is most of the time opportunistic, depending on context. While off-line conceptual similarity is a holistic operation, the contrast operation provides a context-dependent distance that creates ephemeral predicative judgments that are essential for interfacing conceptual spaces with natural language and with reasoning. (shrink)

Over the years, AI has undergone a transformation from its original aim of producing an ‘intelligent’ machine to that of producing pragmatic solutions of problems of the market place. In doing so, AI has made a significant contribution to the debate on whether the computer is an instrument or an interlocutor. This paper discusses issues of problem solving and creativity underlying this transformation, and attempts to clarify the distinction between theresolutive intelligence andproblematic intelligence. It points out that the advance of (...) ‘intelligent’ technology, with its failure to make a clear distinction betweenresolutive andcreative intelligence, could contribute to the further cultural marginalisation of human activities not connected with production. A further danger is that AI products may suffer a further loss of social reputation and prestige for those activities for which it is not possible to build artificial devices. (shrink)