Application of the Andersen Health System Utilization Framework in the Investigation of the use of Traditional Medicine in Kumasi, Ghana

There is a gap in theoretically-based-research on the use of Traditional Medicine (TM) in Low and Middle-Income Countries (LMIC). The Andersen Health System Utilization (AHU) framework was used to explore the factors associated with TM use among chronically ill patients seeking care from the Komfo Anokye Teaching Hospital (KATH), Ghana, West Africa. Two research questions allowed a focused application of the AHU model. The first research question sought to identify the need, predisposing, and enabling factors associated with TM use. The second research question sought to examine the relationship between TM and perceived health status. Multinomial logistic regression and instrumental variable (IV) Tobit regression analyses were used to address the research questions. Applying the AHU framework, predisposing factors were identified as significant predictors of TM use, including marital status, the use of TM by family/friends, and favorable beliefs regarding TM. The presence of comorbidities – a need factor – was also found to be associated with TM usage. However, in contrast to the AHU framework, enabling factors were not associated with TM use among the study population. Additionally, the study did not find an association between TM use and perceived health status. This study\u27s results contribute to the general understanding of the use of TM for preventive and curative purposes in LMIC

Falsifying falsificationist legal theory - a refutation of Bernhard Schlink’s “interpretations as hypotheses”

A number of attempts have been made to conceptualise legal reasoning along falsificationist lines. This paper criticises a recent one by Bernhard Schlink. After familiarising the reader with falsificationism, I argue that falsificationism is premised on an epistemological asymmetry between singular observation statements and universal hypotheses, and that absent such an asymmetry in the context of statutory interpretation, framing jurisprudence in falsificationist terms is unwarranted and misleading. To get off the ground, legal falsificationism would need to combine with some kind of broadly intuitionist moral cognitivism, but even then, it would still misrepresent what is going on in legal reasoning. The arguments in this paper apply mutatis mutandis to all falsificationist theories of legal and ethical reasoning. I point to some by Albert, Canaris and Larenz

Evaluating the Future Device Security Risk Indicator for Hundreds of IoT Devices

IoT devices are present in many, especially corporate and sensitive, networks and regularly introduce security risks due to slow vendor responses to vulnerabilities and high difficulty of patching. In this paper, we want to evaluate to what extent the development of future risk of IoT devices due to new and unpatched vulnerabilities can be predicted based on historic information. For this analysis, we build on existing prediction algorithms available in the SAFER framework (prophet and ARIMA) which we evaluate by means of a large data-set of vulnerabilities and patches from 793 IoT devices. Our analysis shows that the SAFER framework can predict a correct future risk for 91% of the devices, demonstrating its applicability. We conclude that this approach is a reliable means for network operators to efficiently detect and act on risks emanating from IoT devices in their networks.Comment: accepted at ESORICS STM22 worksho

Business Customer eXperience Alignment Framework: Improving Customer Satisfaction

Globalization and technological innovation has led to an increasing competition between telecommunication service providers and has eroded traditional product- and service-based differentiation. One way to gain a competitive advantage is to create distinctiveness by improving customer experience in such a manner that it leads to higher customer satisfaction and loyalty. One of the drivers to improve the customer experience is the service interface. To improve this service interface, organizations must get insight into their customer interaction process. The amount of data about customers and the service provider processes is increasing and becoming more readily available for analysis. Process mining is a technique to provide insight into these processes. In this paper, a framework is presented to improve the customer satisfaction by alignment of the business service delivery process and the customer experience by applying process mining

Explanation matters:An experimental study on explainable AI

Explainable artificial intelligence (XAI) is an important advance in the field of machine learning to shed light on black box algorithms and thus a promising approach to improving artificial intelligence (AI) adoption. While previous literature has already addressed the technological benefits of XAI, there has been little research on XAI from the user’s perspective. Building upon the theory of trust, we propose a model that hypothesizes that post hoc explainability (using Shapley Additive Explanations) has a significant impact on use-related variables in this context. To test our model, we designed an experiment using a randomized controlled trial design where participants compare signatures and detect forged signatures. Surprisingly, our study shows that XAI only has a small but significant impact on perceived explainability. Nevertheless, we demonstrate that a high level of perceived explainability has a strong impact on important constructs including trust and perceived usefulness. A post hoc analysis shows that hedonic factors are significantly related to perceived explainability and require more attention in future research. We conclude with important directions for academia and for organizations.</p

EEG Microstates During Resting Represent Personality Differences

We investigated the spontaneous brain electric activity of 13 skeptics and 16 believers in paranormal phenomena; they were university students assessed with a self-report scale about paranormal beliefs. 33-channel EEG recordings during no-task resting were processed as sequences of momentary potential distribution maps. Based on the maps at peak times of Global Field Power, the sequences were parsed into segments of quasi-stable potential distribution, the ‘microstates'. The microstates were clustered into four classes of map topographies (A-D). Analysis of the microstate parameters time coverage, occurrence frequency and duration as well as the temporal sequence (syntax) of the microstate classes revealed significant differences: Believers had a higher coverage and occurrence of class B, tended to decreased coverage and occurrence of class C, and showed a predominant sequence of microstate concatenations from A to C to B to A that was reversed in skeptics (A to B to C to A). Microstates of different topographies, putative "atoms of thought”, are hypothesized to represent different types of information processing.The study demonstrates that personality differences can be detected in resting EEG microstate parameters and microstate syntax. Microstate analysis yielded no conclusive evidence for the hypothesized relation between paranormal belief and schizophreni

A Memetic Algorithm with Reinforcement Learning for Sociotechnical Production Scheduling

The following interdisciplinary article presents a memetic algorithm with applying deep reinforcement learning (DRL) for solving practically oriented dual resource constrained flexible job shop scheduling problems (DRC-FJSSP). From research projects in industry, we recognize the need to consider flexible machines, flexible human workers, worker capabilities, setup and processing operations, material arrival times, complex job paths with parallel tasks for bill of material (BOM) manufacturing, sequence-dependent setup times and (partially) automated tasks in human-machine-collaboration. In recent years, there has been extensive research on metaheuristics and DRL techniques but focused on simple scheduling environments. However, there are few approaches combining metaheuristics and DRL to generate schedules more reliably and efficiently. In this paper, we first formulate a DRC-FJSSP to map complex industry requirements beyond traditional job shop models. Then we propose a scheduling framework integrating a discrete event simulation (DES) for schedule evaluation, considering parallel computing and multicriteria optimization. Here, a memetic algorithm is enriched with DRL to improve sequencing and assignment decisions. Through numerical experiments with real-world production data, we confirm that the framework generates feasible schedules efficiently and reliably for a balanced optimization of makespan (MS) and total tardiness (TT). Utilizing DRL instead of random metaheuristic operations leads to better results in fewer algorithm iterations and outperforms traditional approaches in such complex environments.Comment: This article has been accepted by IEEE Access on June 30, 202

Designing Prosthetic Hands With Embodied Intelligence: The KIT Prosthetic Hands

Hand prostheses should provide functional replacements of lost hands. Yet current prosthetic hands often are not intuitive to control and easy to use by amputees. Commercially available prostheses are usually controlled based on EMG signals triggered by the user to perform grasping tasks. Such EMG-based control requires long training and depends heavily on the robustness of the EMG signals. Our goal is to develop prosthetic hands with semi-autonomous grasping abilities that lead to more intuitive control by the user. In this paper, we present the development of prosthetic hands that enable such abilities as first results toward this goal. The developed prostheses provide intelligent mechatronics including adaptive actuation, multi-modal sensing and on-board computing resources to enable autonomous and intuitive control. The hands are scalable in size and based on an underactuated mechanism which allows the adaptation of grasps to the shape of arbitrary objects. They integrate a multi-modal sensor system including a camera and in the newest version a distance sensor and IMU. A resource-aware embedded system for in-hand processing of sensory data and control is included in the palm of each hand. We describe the design of the new version of the hands, the female hand prosthesis with a weight of 377 g, a grasping force of 40.5 N and closing time of 0.73 s. We evaluate the mechatronics of the hand, its grasping abilities based on the YCB Gripper Assessment Protocol as well as a task-oriented protocol for assessing the hand performance in activities of daily living. Further, we exemplarily show the suitability of the multi-modal sensor system for sensory-based, semi-autonomous grasping in daily life activities. The evaluation demonstrates the merit of the hand concept, its sensor and in-hand computing systems

Multiwinding Transformer Leakage Inductance Optimization for Power Flow Decoupling in Multiport DC-DC Converters

Isolated multiport DC-DC converters manifest some prominent advantages over usual multiple two-port DC-DC converters such as smaller holistic magnetics and higher power density. However, the operation of such a converter is tied to the power flow decoupling capability in the magnetic medium frequency transformer (MFT). This paper targets to optimize the decoupling between the multiwinding MFT ports by means of multi-objective optimization of the leakage inductance network. Three different multi-objective cost functions are proposed and solved by Genetic Algorithm (GA). The obtained results show that a winding topology where primary winding is sandwiched by the two secondaries and are tightly wound to the core, provides the minimum possible leakage inductance without interleaving the windings. The obtained topologies from solving different objectives can be used as a benchmark in design and manufacturing of mutliwinding transformers. Experimental results are provided to verify the obtained optimum design

Intestinal Tuberculosis Presenting with Gastrointestinal Bleeding in Patient on Warfarin Therapy

Background: Intestinal tuberculosis (ITB) constitutes less than 5% of overall cases of extrapulmonary disease and mostly affects the ileocecal region. The presentation and radiologic findings in enteric tuberculosis can mimic Crohn’s disease (CD). Case Pre- sentation: We present a case report of an African woman who presented to a Kenyan hospital with lower gastrointestinal bleeding while on anticoagulation for valvular atrial fibrillation, and was diagnosed with intestinal tuberculosis after colonoscopy, biopsy, and positive staining for tuberculous bacilli. Conclusion: Intestinal tuberculosis causing gastrointestinal bleeding is rare but should be suspected in patients living in TB endemic regions