User Control Research Articles

277-OR: AID-Driven TIR Improvements in Young MDI Children with T1D Are Indistinguishable from Their Pump-Using Peers—A PEDAP Subanalysis

Treatment of T1D in young children presents many challenges compared to other age groups. In a recent multicenter, randomized controlled trial, we showed significant glycemic improvements when using automated insulin delivery (AID, t:slim X2 insulin pump with Control-IQ technology) compared to standard care (SC) (+12.4% TIR, -0.42% HbA1c) over 13 weeks in N=102 young children (age 2-<6 yrs) with T1D. We focus here on the multiple daily injection (MDI) users at baseline. The cohort included 36 such participants, 10 in SC and 26 using AID. No difference between MDI participants and their pump-using peers was noted for age, gender, ethnicity, or household income; though they showed degraded glycemic control at baseline: TIR 49.7% vs 59.6%, p=0.004; TBR 2.4% vs 3.8%, p=0.016. MDI participants completed 94% of visits virtually and 19/26 were transitioned to AID virtually. Compared with SC, TIR improvement with AID was statistically similar for MDI (+11.6%) and pump (+12.3%) participants (see Figure). Comparable results were seen for other CGM outcomes. With increased TIR of approximately 3h/day, the studied AID system significantly improved glycemic control for prior MDI users, even with a transition almost exclusively performed online. Improvements were not associated with increased risk of hypoglycemia and indistinguishable from the effects observed for prior pump users. Disclosure M.D.Breton: Consultant; Dexcom, Inc., Tandem Diabetes Care, Inc., Roche Diabetes Care, Sanofi, Arecor, Research Support; Dexcom, Inc., Tandem Diabetes Care, Inc., Novo Nordisk. Pedap trial study group: n/a. B.A.Buckingham: Advisory Panel; Medtronic, Novo Nordisk, Consultant; Lilly, Research Support; Medtronic, Insulet Corporation, Tandem Diabetes Care, Inc. M.D.Deboer: Research Support; Dexcom, Inc., Tandem Diabetes Care, Inc. L.Ekhlaspour: Consultant; Ypsomed AG, Tandem Diabetes Care, Inc., Other Relationship; NIH - National Institutes of Health, Research Support; MannKind Corporation, Tandem Diabetes Care, Inc., JDRF, Speaker's Bureau; Insulet Corporation. G.P.Forlenza: Advisory Panel; Medtronic, Consultant; Dexcom, Inc., Insulet Corporation, Tandem Diabetes Care, Inc., Lilly Diabetes, Research Support; Medtronic, Abbott, Dexcom, Inc., Insulet Corporation, Tandem Diabetes Care, Inc. M.Schoelwer: Research Support; Tandem Diabetes Care, Inc., Insulet Corporation. R.Wadwa: Consultant; Eli Lilly and Company, Other Relationship; Dexcom, Inc., Eli Lilly and Company, Research Support; Dexcom, Inc., Eli Lilly and Company, Beta Bionics, Inc., Tandem Diabetes Care, Inc. J.W.Lum: None. R.Beck: Consultant; Eli Lilly and Company, Novo Nordisk, Diasome, Insulet Corporation, Research Support; Tandem Diabetes Care, Inc., Beta Bionics, Inc., Dexcom, Inc., Bigfoot Biomedical, Inc., Medtronic, Ascensia Diabetes Care, Roche Diabetes Care, Eli Lilly and Company, Novo Nordisk. Funding National Institute of Diabetes and Digestive and Kidney Diseases (U01DK127551); Tandem Diabetes Care, Inc.; Dexcom, Inc.

Programmable Controller Based Piercing Machine System Design

The former mainly consists of solenoid valve actuators, sensors, programmable controllers, etc. The core of the hardware design is PLC and related wiring design; the latter is mainly through Protherm V14 to complete the programming, based on the overall architecture of the system to complete the ladder design of subroutines, program flow analysis is the software design is the focus of the final successful design of the electrical control system of the piercing machine. After system debugging and testing, the system has successfully achieved the expected goal and can meet the user's control requirements with simple and clear control logic, which can meet the mechanical piercing process requirements.

Cyber Suraksha: a card game for smartphone security awareness

PurposeThe frequency and sophistication of cybercrimes are increasing. These cybercrimes are impacting government and private organizations as well as individuals. One of the countermeasures is to improve the cyber hygiene of the end-users. Serious games or game-based learning has emerged as a promising approach for implementing security education, training and awareness program. In this paper, the researchers propose a tabletop card game called Cyber Suraksha to increase threat awareness and motivate users to adopt recommended security controls for smartphone users. Cyber Suraksha provides an active learning environment for the players. This paper aims to provide the details of the design and evaluation of the game using a between-subjects design.Design/methodology/approachThe researchers have used constructive learning theory and the Fogg behaviour model (FBM) to design a tabletop card game called Cyber Suraksha. The researchers evaluated the game using a between-subjects design. The participants' responses in the control and intervention groups were collected using the risk behaviour diagnosis scale. Pearson’s Chi-Square test with a 5% significance level was used to test the hypotheses.FindingsThe results indicate that the game is enjoyable and fun. Cyber Suraksha game effectively motivates users to adopt the recommended security control for the targeted behaviour. The results indicate that the participants in the intervention group are 2.65 times more likely to adopt recommended behaviour. The findings of this study provide evidence for the effectiveness of hope and fear appeals in improving cybersecurity awareness.Research limitations/implicationsThe generalizability of the study is limited because the sample size is small compared to the total number of smartphone users in India, and only students from computer/IT UG programs in India are used as participants in this study.Practical implicationsThis study uses hope and a fear appeal to design an effective serious game. It also demonstrates using the FBM and constructive learning principles for effective serious game design. Cyber Suraksha is effective for the student group and may be tested with other age groups.Originality/valueTo the researchers' knowledge, there are no serious games for cybersecurity awareness focusing on the threats faced by smartphone users based on FBM and constructive learning theory. This research used hope along with a fear appeal to motivate smartphone users to adopt recommended security controls.

New and Simplified Manual Controls for Projection and Slice Tours, With Application to Exploring Classification Boundaries in High Dimensions

This article describes new user controls for examining high-dimensional data using low-dimensional linear projections and slices. A user can interactively change the contribution of a given variable to a low-dimensional projection, which is useful for exploring the sensitivity of structure to particular variables. The user can also interactively shift the center of a slice, for example, to explore how structure changes in local subspaces. The Mathematica package as well as example notebooks are provided, which contain functions enabling the user to experiment with these new manual controls, with one specifically for exploring regions and boundaries produced by classification models. The advantage of Mathematica is its linear algebra capabilities and interactive cursor location controls. Some limited implementation has also been made available in the R package tourr. Supplementary materials for this article are available online.

Deep-Learning-Based Resource Allocation for Transmit Power Minimization in Uplink NOMA IoT Cellular Networks

For Internet of Things (IoT) networks, it is important to develop energy-efficient communication schemes to extend the operating life of battery-powered IoT devices. Additionally, non-orthogonal multiple access (NOMA) can utilize frequency resources more efficiently than orthogonal multiple access, making it more suitable to support massive connectivity of IoT users. Motivated by these facts, we consider uplink NOMA IoT cellular networks and develop two novel algorithms that jointly optimize sub-band allocation and transmit power control to minimize the total transmit power of all users and the maximum transmit power among all users’ transmit power, respectively, while meeting the minimum required data rate for all users. Specifically, we propose a novel two-step approach that sequentially performs sub-band assignment and transmit power control for each IoT user, in which a genetic algorithm-based method is applied for sub-band assignment whereas unsupervised learning (USL) implemented as deep neural network (DNN) models is utilized for transmit power control. Moreover, we propose loss functions that can achieve an appropriate balance between power minimization and rate constraint satisfaction in the process of training. Extensive simulations are performed to evaluate the performance of the proposed algorithm in various aspects, and we show that our proposed two-step algorithm can approach the optimal performance achievable through an exhaustive search with much lower computational complexity.

A Fully Integrated Pipeline for Visual Carotid Morphology Analysis

AbstractAnalyzing stenoses of the internal carotids – local constrictions of the artery – is a critical clinical task in cardiovascular disease treatment and prevention. For this purpose, we propose a self‐contained pipeline for the visual analysis of carotid artery geometries. The only inputs are computed tomography angiography (CTA) scans, which are already recorded in clinical routine. We show how integrated model extraction and visualization can help to efficiently detect stenoses and we provide means for automatic, highly accurate stenosis degree computation. We directly connect multiple sophisticated processing stages, including a neural prediction network for lumen and plaque segmentation and automatic global diameter computation. We enable interactive and retrospective user control over the processing stages. Our aims are to increase user trust by making the underlying data validatable on the fly, to decrease adoption costs by minimizing external dependencies, and to optimize scalability by streamlining the data processing. We use interactive visualizations for data inspection and adaption to guide the user through the processing stages. The framework was developed and evaluated in close collaboration with radiologists and neurologists. It has been used to extract and analyze over 100 carotid bifurcation geometries and is built with a modular architecture, available as an extendable open‐source platform.

A Wearable Force-Sensitive and Body-Aware Exoprosthesis for a Transhumeral Prosthesis Socket

Upper limb prostheses are commonly mounted to the human residual limb by a passive socket. By this design, the sensitive residual limb is exposed to high reaction wrenches, which can be a source of medical complications. In this article, we introduce an active force-sensitive robotic socket, which carries the prosthesis, offloads the residual limb, and allows guidance via small interaction forces at the same time. We investigate the feasibility of this concept by a force-sensitive and wearable shoulder exoskeleton, called <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">exoprosthesis</i> when being combined with a prosthesis. We provide a first mechatronics prototype, two floating base controllers, and an analysis of the loads acting on the user body. Simulations and experiments confirm the concept and reveal that the wrench at residual limb can be fully compensated for the static case and by <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\approx \text{50\%}$</tex-math></inline-formula> for the investigated motions. Human-in-the-loop tests are successfully performed by three able-bodied users showing the later real-world use case in a complex grasping situation. Overall, we believe that a force-sensitive robotic socket has the potential to advance prosthetics to a new level as it provides an intuitive and seamless user control interface.

CRUSE - What the first 100 days have taught us.

Introduction: Health apps play an increasing role in everyday healthcare, especially for chronic diseases. The Chronic Urticaria Self Evaluation (CRUSE) is a new mobile health app for chronic spontaneous urticaria (CSU) patients, which replaces disease tracking via paper and pen, thus making disease monitoring more convenient, increasing tracking compliance, and improving data quality and access. Methods: CRUSE enables patients to complete patient-reported outcome measures on their smartphone and send the results, along with current medication and pictures, to their treating physician via email. CRUSE captures the urticaria (UAS) and angioedema activity (AAS) scores and the urticaria and angioedema control tests (UCT and AECT). In this work, a descriptive analysis of CRUSE users and reported days was performed. The global network of Urticaria Centers of Reference and Excellence (UCARE) provides the app and its data. Results: CRUSE is now available in Germany, Switzerland, Austria, the UK, Italy, Spain, France, and Turkey. Of 620 newly registered users (from July 1st until November 18th of 2022), 72 % were female, and the mean age was 36.6 years (17 - 78 years). The average daily UAS and AAS value (mean ± standard deviation) were 2.1 ± 1.9 and 7.2 ± 3.3, respectively. Most CRUSE patients had poorly controlled disease, with mean UCT values of 7.0 ± 4.4 and mean AECT values of 8.1 ± 4.5. Conclusion: The first days of patients with CSU using CRUSE confirm the high need for an app that helps to monitor disease activity, impact, and control. The first results indicate low levels of disease control in most CRUSE users, with low UCT and AECT values. Future analyses will assess follow-up documentation data and evaluate the effects of treatment changes on CSU activity, impact, and control.

Perancangan Sistem Informasi Penjualan Tanaman Hias pada JA Garden

This research aims to design a web-based information system for selling ornamental plants at JA Garden. This system consists of input, output, process, control, labor, and cost design stages. Each stage is detailed with the programs involved, including data entry programs for categories, products, buyer information, purchase transactions, sliders, brands, blogs, users, and messages. System output includes category recaps, products, customers, transaction reports, transaction details, goods transactions, brands list, sliders, blogs/news, and users. The sales data processing process adopts computerized applications with context, tiered and data flow diagrams. User control involves registration in the database to prevent redundant data. Application control includes user management and data security with encryption. Minimal labor required, with training for application use. The proposed costs cover system maintenance and development. The use of various web programming languages and supporting software such as XAMPP, NotePad++, and the Google Chrome browser supports the functions of this system. Suggestions involve optimizing computer use, improving human resource skills, and utilizing all software. This research is expected to provide guidance for the development and implementation of an ornamental plant sales information system at JA Garden.

The significance of coefficient of variation as a measure of hypoglycaemia risk and glycaemic control in real world users of the automated insulin delivery MiniMed 780G system.

Use of the MiniMed 780G system (MM780G) can result in a reduction in mean and standard deviation (SD) of sensor glucose (SG) values. We assessed the significance of the coefficient of variation (CV) as a measure of hypoglycaemia risk and glycaemic control. Data from 10 404 MM780G users were analysed using multivariable logistic regression to assess the contribution of CV to (a) hypoglycaemia risk, measured as not reaching target <1% for time below range (TBR), and (b) achieving targets of time-in-range (TIR) >70% and glucose management indicator <7%. CV was compared with SD and low blood glucose index. To assess the relevance of CV <36% as a therapeutic threshold, we identified the CV cut-off point that optimally discriminated users at risk of hypoglycaemia. The contribution of CV was the smallest in terms of risk of hypoglycaemia (vs. low blood glucose index and SD) and TIR and glucose management indicator targets (vs. SD). In all cases the models with SD showed the best fit. A CV <43.4% (95% CI: 42.9-43.9) was the optimal cut-off point with a correct classification rate of 87.2% (vs. 72.9% for CV <36%). For MM780G users, CV is a poor marker for hypoglycaemia risk and glycaemic control. We recommend using, for the former, TBR and whether the TBR target is met (and not using CV <36% as a therapeutic threshold for hypoglycaemia); for the latter, TIR, time above range, whether targets are met and a discrete description of mean SG and SD of SG values.

Media, digital sovereignty and geopolitics: the case of the TikTok ban in India

TikTok, one of the most downloaded apps in the world, has been banned in India since June 2020, following military clashes on the India-China border. This article focuses on government narratives of the TikTok ban in the Indian media and situates the issue within the broader geopolitical framework of deteriorating Sino-Indian relations and attempts for digital sovereignty. At a time of strong nationalist discourses dominating the political and social communication in India, it is perhaps unsurprising that the narratives have been seen outside India as protectionism. However, this paper argues that the digital sovereignty in the Indian context is not exclusionary but aims to create a robust digital infrastructure that is critical for economic development and self-reliance. Highlighting the lessons from India, this paper concludes the following: (i) digital sovereignty is a form of discourse which does not imply any specific policy, (ii) digital sovereignty relates to user control over their data, however, the role and limits of the State is not clearly defined and (iii) digital platforms are highly vulnerable to changing geopolitics in which their existence is not determined by user-platform interactions but by international relations.

The Limits of Centralized Pricing in Online Marketplaces and the Value of User Control

We report experimental and quasi-experimental evidence from a “sharing economy” marketplace that transitioned from decentralized to centralized pricing. Centralized pricing increased the utilization of providers’ assets, resulting in higher revenues but also higher transaction costs. Providers who were barred from accessing the price system made nonprice adjustments, including reducing the availability of their assets, canceling booked transactions, and exiting the market. Providers who retained partial pricing control reacted substantially less but experienced similar revenue increases. We highlight the challenges of implementing centralized pricing and assessing its welfare effects. We show that partial control can mitigate these challenges, allowing providers to express their private and heterogeneous preferences while maintaining the benefits of centralization. This paper was accepted by Gabriel Weintraub, revenue management and market analytics. Funding: S. Jagabathula was funded in part by the Division of Civil, Mechanical, and Manufacturing Innovation [Grant 1454310]. Supplemental Material: The data files and online appendices are available at https://doi.org/10.1287/mnsc.2023.4789 .

LipoCol Forte capsules reduce the risk of liver cancer: A propensity score-matched, nationwide, population-based cohort study.

Liver cancer is among the top five most common cancers globally. Lipid-lowering drugs such as statins can lower the risk of liver cancer, but may also cause liver damage. LipoCol Forte capsules (LFC), a red yeast rice product, have demonstrated significant antihypercholesterolemic effects and a good safety profile in clinical studies. To evaluate whether LFC lowers the risk of liver cancer in adults in this propensity score-matched, nationwide, population-based cohort study. We used data from Taiwan's National Health Insurance Research Database, which includes electronic medical records for up to 99.99% of Taiwan's population. LFC users and LFC non-users were matched 1:1 by propensity scores between January 2010 and December 2017. All had follow-up data for at least 1 year. Statistical analyses compared demographic distributions including sex, age, comorbidities, and prescribed medications. Cox regression analyses estimated adjusted hazard ratios (aHRs) after adjusting for potential confounders. We enrolled 33231 LFC users and 33231 non-LFC users (controls). No significant differences between the study cohorts were identified regarding comorbidities and medications [standardized mean difference (SMD) < 0.05]. At follow-up, the overall incidence of liver cancer was significantly lower in the LFC cohort compared with controls [aHR 0.91; 95% confidence interval (CI): 0.86-0.95; P < 0.001]. The risk of liver cancer was significantly reduced in both females (aHR 0.87; 95%CI: 0.8-0.94; P < 0.001) and males (aHR 0.93; 95%CI: 0.87-0.98; P < 0.01) in the LFC cohort compared with their counterparts in the non-LFC cohort. The antitumor protective effects applied to patients with comorbidities (including hypertension, ischemic stroke, diabetes mellitus, hyperlipidemia, hepatitis B infection and hepatitis C infection). Those using LFC for more than 84 drug days had a 0.64-fold lower risk of liver cancer compared with controls (P < 0.001). Compared with controls, the risk of developing liver cancer in the LFC cohort progressively decreased over time; the lowest incidence of liver cancer occurred in LFC users followed-up for more than 6 years (27.44 vs 31.49 per 1,000 person-years; aHR 0.75; 95%CI: 0.68-0.82; P < 0.001). This retrospective cohort study indicates that LFC has a significantly protective effect on lowering the risk of liver cancer, in a dose-dependent and time-dependent manner.

The placenta: epigenetic insights into trophoblast developmental models of a generation-bridging organ with long-lasting impact on lifelong health.

The placenta is a unique organ system that functionally combines both maternal and fetal cell types with distinct lineage origins. Normal placentation is critical for developmental progression and reproductive success. Although the placenta is best known for its nutrient supply function to the fetus, genetic experiments in mice highlight that the placenta is also pivotal for directing the proper formation of specific fetal organs. These roles underscore the importance of the placenta for pregnancy outcome and lifelong health span, which makes it essential to better understand the molecular processes governing placental development and function and to find adequate models to study it. In this review, we provide an overview of placental development and highlight the instructional role of the epigenome in dictating cell fate decisions specifically in the placental trophoblast cell lineage. We then focus on recent advances in exploring stem cell and organoid models reflecting the feto-maternal interface in mice and humans that provide much-improved tools to study events in early development. We discuss stem cells derived from the placenta as well as those artificially induced to resemble the placenta, and how they can be combined with embryonic stem cells and with endometrial cell types of the uterus to reconstitute the early implantation site. We then allude to the exciting prospects of how these models can be harnessed in biomedicine to enhance our understanding of the pathological underpinnings of pregnancy complications in a patient-specific manner, and ultimately to facilitate therapeutic approaches of tissue- and organ-based regenerative medicine.

NeRFshop

Neural Radiance Fields (NeRFs) have revolutionized novel view synthesis for captured scenes, with recent methods allowing interactive free-viewpoint navigation and fast training for scene reconstruction. However, the implicit representations used by these methods---often including neural networks and complex encodings---make them difficult to edit. Some initial methods have been proposed, but they suffer from limited editing capabilities and/or from a lack of interactivity, and are thus unsuitable for interactive editing of captured scenes. We tackle both limitations and introduce NeRFshop, a novel end-to-end method that allows users to interactively select and deform objects through cage-based transformations. NeRFshop provides fine scribble-based user control for the selection of regions or objects to edit, semi-automatic cage creation, and interactive volumetric manipulation of scene content thanks to our GPU-friendly two-level interpolation scheme. Further, we introduce a preliminary approach that reduces potential resulting artifacts of these transformations with a volumetric membrane interpolation technique inspired by Poisson image editing and provide a process that "distills" the edits into a standalone NeRF representation.

Arterial stiffness and peripheral chemoreflex responsiveness in electronic cigarette users

Electronic cigarettes (e-cigarettes) are marketed as less harmful alternatives to tobacco smoking, but the short- and long-term health consequences are unclear. Raised arterial stiffness and increased peripheral chemoreflex sensitivity are pathogenic features of several clinical conditions and associated with adverse outcomes. The aim of this study was to determine if regular e-cigarettes use is associated with increased arterial stiffness and elevated peripheral chemoreflex responsiveness.Eight healthy e-cigarettes users (E-cig; &gt;12 months, 6 women, 27±5yr, 26.0±4.5kg/m2 mean±SD) and 13 healthy non-e-cigarettes user controls (HC; 8 women, 26±4yr, 22.4±3.4kg/m2,) were studied under 3 conditions (each for 5min) in the following order: room-air, isocapnic hyperoxia (1.0 fraction of inspired oxygen [FiO2]; peripheral chemoreflex deactivation) and isocapnic hypoxia (0.1 FiO2; peripheral chemoreflex activation). In each condition, arterial stiffness was evaluated by the aortic augmentation index (AIx) and aortic pulse wave velocity (PWV) (SphygmoCor), while heart rate (HR), mean arterial pressure (MAP), and minute ventilation (V̇E) were monitored.In room air, AIx was higher in E-cig compared to HC (18.4±3.4 vs. 8.1±2.5%, P=0.023), while PWV (5.7±0.3 vs. 5.8±0.8m/sec, P=0.731), HR (68±6 vs. 70±9beats/min, P=0.616), MAP (83±4 vs. 83±7mmHg/min, P=0.920), and V̇E (12.7±2.2 vs. 13.9±3.1L/min, P=0.515) were not different. During isocapnic hyperoxia, AIx was unchanged in both E-cig (21.9±11.2%, P=0.327) and HC (9.2±7.9%, P=1.000) versus room air, with AIx remaining higher in E-cig (P=0.006). There were no changes from isocapnic hyperoxia to room air in both E-cig and HC in aortic PWV (Δ0.1±0.1 and Δ0.1±0.2m/sec, P=0.894), HR (Δ-3±3 and Δ-2±3beats/min, P=0.482), MAP (Δ0.3±2.2 and Δ-0.9±2.1mmHg/min, P=0.528) and V̇E (Δ1.1±2.0 vs. Δ1.2±4.6L/min, P=0.124). During isocapnic hypoxia, AIx was unchanged in E-cig (14.7±9.5%, P=0.288) versus room air, but was decreased in HC (2.8±9.4%, P=0.006), such that AIx remained higher in E-cig than HC (P=0.009). HR increased similarly during isocapnic hypoxia in both E-cig (77±7beats/min, P&lt;0.001) and HC (82±7beats/min, P&lt;0.001) compared to room air. In E-cig and HC no change was observed in aortic PWV (Δ0.4±0.4 and Δ0.2±1.4m/sec, P=0.254), MAP (Δ-0.2±2.0 and Δ0.3±2.3mmHg/min, P=0.609) and V̇E (Δ 1.4±1.0 vs. Δ1.1±1.4L/min, P=0.638) during isocapnic hypoxia relative to room air.These preliminary findings suggest that arterial stiffness is higher in young e-cigarettes users, and that the normal hypoxia-induced reduction in arterial stiffness in young non-e-cigarette users is absent in e-cigarettes users. Future studies are needed to determine if the altered effects of hypoxia on arterial stiffness in young e-cigarettes users is associated with exaggerated peripheral chemoreflex mediated sympatho-excitation and/or local endothelial/vascular smooth muscle mechanisms, and if it is reversible on cessation of e-cigarette use. Health Research Council of New Zealand (Ref# 19/687. JPF, JFRP), and the Sidney Taylor Trust (JFRP). This is the full abstract presented at the American Physiology Summit 2023 meeting and is only available in HTML format. There are no additional versions or additional content available for this abstract. Physiology was not involved in the peer review process.

Hierarchical Optimization for Control of Robotic Knee Prostheses Toward Improved Symmetry of Propulsive Impulse.

Automatically personalizing complex control of robotic prostheses to improve gait performance, such as gait symmetry, is challenging. Recently, human-in-the-loop (HIL) optimization and reinforcement learning (RL) have shown promise in achieving optimized control of wearable robots for each individual user. However, HIL optimization methods lack scalability for high-dimensional space, while RL has mostly focused on optimizing robot kinematic performance. Thus, we propose a novel hierarchical framework to personalize robotic knee prosthesis control and improve overall gait performance. Specifically, in this study the framework was implemented to simultaneously design target knee kinematics and tune 12 impedance control parameters for improved symmetry of propulsive impulse in walking. In our proposed framework, HIL optimization is used to identify an optimal target knee kinematics with respect to symmetry improvement, while RL is leveraged to yield an optimal policy for tuning impedance parameters in high-dimensional space to match the kinematics target. The proposed framework was validated on human subjects, walking with robotic knee prosthesis. The results showed that our design successfully shaped the target knee kinematics as well as configured 12 impedance control parameters to improve propulsive impulse symmetry of the human users. The knee kinematics that yielded best propulsion symmetry did not preserve the normative knee kinematics profile observed in non-disabled individuals, suggesting that restoration of normative joint biomechanics in walking does not necessarily optimize the gait performance of human-prosthesis systems. This new framework for prosthesis control personalization may be extended to other wearable devices or different gait performance optimization goals in the future.

Safer gambling and consumer protection failings among 40 frequently visited cryptocurrency-based online gambling operators.

Online gambling has increased the accessibility and range of gambling products available to people all over the world. This trend has been particularly noticeable in the United Kingdom. Cryptocurrency-based gambling is a new, largely unregulated, way to gamble online, which uses mostly anonymous blockchain-based technologies, such as Bitcoin. The present research investigated consumer protection features of 40 frequently visited and U.K.-accessible cryptocurrency-based online gambling operators. A content analysis was performed by visiting all 40 cryptocurrency-based online operators and recording their safer gambling and consumer protection practices. Coded features included aspects of the sign-up process, features of any safer gambling pages, customer support practices, and Identity verification. Results revealed significant failings in the account registration process; none of the operators verified the identity of new users, and 35% required only an email or no personal information for sign-up. Overall, 37.5% of operators offered no safer gambling tools and a further 20% offered only one. Additionally, 64.7% of operators continued to email promotional material after being informed of a user's impaired control when gambling. Less than half of the analyzed operators held a valid license (47.5%), and none of the operators with an available deposit page required identity verification before enabling deposits. These results highlight the potential risks for young and vulnerable individuals, especially when a lack of identity verification is paired with the inherent anonymity of cryptocurrencies. Furthermore, it emphasizes the need for greater policy and research attention toward cryptocurrency-based online gambling. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Assessing Usability and Ambulatory Clinical Staff Satisfaction with Two Electronic Health Records.

A growing body of literature has linked usability limitations within electronic health records (EHRs) to adverse outcomes which may in turn affect EHR system transitions. NewYork-Presbyterian Hospital, Columbia University College of Physicians and Surgeons (CU), and Weill Cornell Medical College (WC) are a tripartite organization with large academic medical centers that initiated a phased transition of their EHRs to one system, EpicCare. This article characterizes usability perceptions stratified by provider roles by surveying WC ambulatory clinical staff already utilizing EpicCare and CU ambulatory clinical staff utilizing iterations of Allscripts before the implementation of EpicCare campus-wide. A customized 19-question electronic survey utilizing usability constructs based on the Health Information Technology Usability Evaluation Scale was anonymously administered prior to EHR transition. Responses were recorded with self-reported demographics. A total of 1,666 CU and 1,065 WC staff with ambulatory self-identified work setting were chosen. Select demographic statistics between campus staff were generally similar with small differences in patterns of clinical and EHR experience. Results demonstrated significant differences in EHR usability perceptions among ambulatory staff based on role and EHR system. WC staff utilizing EpicCare accounted for more favorable usability metrics than CU across all constructs. Ordering providers (OPs) denoted less usability than non-OPs. The Perceived Usefulness and User Control constructs accounted for the largest differences in usability perceptions. The Cognitive Support and Situational Awareness construct was similarly low for both campuses. Prior EHR experience demonstrated limited associations. Usability perceptions can be affected by role and EHR system. OPs consistently denoted less usability overall and were more affected by EHR system than non-OPs. While there was greater perceived usability for EpicCare to perform tasks related to care coordination, documentation, and error prevention, there were persistent shortcomings regarding tab navigation and cognitive burden reduction, which have implications on provider efficiency and wellness.

Physics‐Informed Neural Corrector for Deformation‐based Fluid Control

AbstractControlling fluid simulations is notoriously difficult due to its high computational cost and the fact that user control inputs can cause unphysical motion. We present an interactive method for deformation‐based fluid control. Our method aims at balancing the direct deformations of fluid fields and the preservation of physical characteristics. We train convolutional neural networks with physics‐inspired loss functions together with a differentiable fluid simulator, and provide an efficient workflow for flow manipulations at test time. We demonstrate diverse test cases to analyze our carefully designed objectives and show that they lead to physical and eventually visually appealing modifications on edited fluid data.