Hasil untuk "Miscellaneous systems and treatments"

R. Petit

A. Gordon, R. A. Ford

Joanna S Morris, V. Wiebe, E. Simonson

Peter Amorese, Morteza Lahijanian

Nonlinear ordinary differential equations (ODEs) are powerful tools for modeling real-world dynamical systems. However, propagating initial state uncertainty through nonlinear dynamics, especially when the ODE is unknown and learned from data, remains a major challenge. This paper introduces a novel continuum dynamics perspective for model learning that enables formal uncertainty propagation by constructing Taylor series approximations of probabilistic events. We establish sufficient conditions for the soundness of the approach and prove its asymptotic convergence. Empirical results demonstrate the framework's effectiveness, particularly when predicting rare events.

Nadia Hassan Abd-Elhameed, Heballah Mohammed Kamal, Mai Elsayed Abbass

Abstract Background The core stability program is commonly utilized as an intervention method to improve postural control. This study aimed to evaluate the effect of core stability exercises on upper limb reaching in children with hemiparetic cerebral palsy (CP). For this purpose, 30 hemiparetic CP children of both sexes were recruited for the study. The children were between the ages of 4 and 6. According to the modified Ashworth scale (MAS), the degree of spasticity varied from 1 to 1 + , and for children who were selected, the average Trunk Control Measurement Scale (TCMS) ranged from 25 to 42. Children were assigned into two groups at random (study group and control group). The pediatric reach test (PRT) was used to assess each child both before and after two consecutive months of therapy. The children in both groups received the same program of selected physical therapy exercises, but the children in the study group also performed the selected physical therapy program in addition to the core stability exercises. Results By comparing the mean values of all assessed variables before and after therapy, both groups improved significantly (p = 0.0001). When comparing post-treatment outcomes, there were significant differences between the control and study groups in all assessed variables (p = 0.0001) in favor of the study group. Conclusion Core stability exercises may be used to improve reaching in children with hemiparetic cerebral palsy. Trial registration This study was authorized by the Faculty of Physical Therapy’s ethics committee under the number “REC/012/003125” and registered in ClinicalTrial.gov with the number “NCT05316090” on 9 April 2022 retrospectively.

Camila Cristina Bortolozzo Ximenes Souza, Isadora Romagnoli Ribeiro, Rosé Colom Toldrá

O ensino de práticas corporais mostra-se como importante ferramenta de resistência ao modelo biomédico, favorecendo a invenção de novas formas de se pensar e produzir práticas corporais na saúde, com o desenvolvimento de metodologias e posturas de ensino dialógicas. Objetivo: Analisar o sentido do aprendizado de práticas corporais para os estudantes durante a formação graduada em Terapia Ocupacional. Método: Pesquisa documental qualitativa descritivo-exploratória, que utilizou como fonte primária de dados os registros escritos desenvolvidos por estudantes do 6º período da disciplina MFT0718 - Terapia Ocupacional e as Práticas Corporais II, ministrada de 2020 a 2024, armazenados na plataforma Moodle, com acesso restrito ao docente, monitor e estudantes. Resultados: A disciplina contava com momentos teóricos e discussão das práticas corporais; oficinas de trabalho corporal e diário do corpo; oficinas de trabalho corporal voltadas ao cuidado do outro e compartilhamento das experiências. Foram analisados 152 documentos. Diferentes benefícios nos aspectos físicos, emocionais e de bem-estar foram evidenciadas com as práticas corporais vivenciadas pelos estudantes e com o outro. Conclusão: A disciplina, por meio de metodologias de ensino dialógicas, fomentou a participação ativa dos estudantes, a corporificação dos saberes teórico-práticos, que transcenderam a sala de aula, aproximando-se da preparação para a prática profissional

Keon Ju M. Lee, Philippe Pasquier

Our research explores the development and application of musical agents, human-in-the-loop generative AI systems designed to support music performance and improvisation within co-creative spaces. We introduce MACAT and MACataRT, two distinct musical agent systems crafted to enhance interactive music-making between human musicians and AI. MACAT is optimized for agent-led performance, employing real-time synthesis and self-listening to shape its output autonomously, while MACataRT provides a flexible environment for collaborative improvisation through audio mosaicing and sequence-based learning. Both systems emphasize training on personalized, small datasets, fostering ethical and transparent AI engagement that respects artistic integrity. This research highlights how interactive, artist-centred generative AI can expand creative possibilities, empowering musicians to explore new forms of artistic expression in real-time, performance-driven and music improvisation contexts.

Jinlian Liu, Yi Yang, Meiyu Lv et al.

Objective: To investigate the efficacy and safety of Liqingtong (LQT) granules in patients with dampness-heat hyperuricemia. Methods: A randomized, double-blind, placebo-controlled pilot trial was conducted at the 983rd Hospital of the Joint Logistic Support Force of the People's Liberation Army from March 15, 2023, to August 10, 2023. In total, 119 participants were enrolled in this trial, and participants were given either LQT granules or placebo for 60 days based on a health education. The primary outcome was serum uric acid (SUA) level, and the secondary outcome was the traditional Chinese medicine (TCM) symptom score, measured on days 0, 30, and 60. Safety indicators, including liver function, kidney function, blood routine, glucose, blood lipid, blood pressure, and heart rate were tested on days 0 and 60 of the trial. The data were analyzed using Prism 9 software, and the significance level was set at P < .05. Results: Among 119 participants, six in the LQT granule group and seven in the placebo group dropped out, and 106 participants completed clinical observation. Baseline information, including SUA levels, TCM symptom scores, and other clinical characteristics, did not differ between the groups. At the end of the trial, compared with baseline values, the SUA levels in the LQT granule group decreased (P < .001), and no significant change was observed in the placebo group (P = .422); compared with the placebo group, the SUA levels decreased in the LQT granule group (P = .001). Compared with baseline values, the total TCM symptom scores in the LQT granule group decreased (P < .001), with no change in the placebo group (P = .136). Safety indicators did not differ significantly between the two groups. Conclusion: The pilot trial demonstrated the potential of LQT granules to lower SUA levels and improve symptoms of dampness and heat.

Yashuai Cao, Hetong Wang, Tiejun Lv et al.

Intelligent reflecting surface (IRS) is a potential candidate for massive multiple-input multiple-output (MIMO) 2.0 technology due to its low cost, ease of deployment, energy efficiency and extended coverage. This chapter investigates the slot-by-slot IRS reflection pattern design and two-timescale reflection pattern design schemes, respectively. For the slot-by-slot reflection optimization, we propose exploiting an IRS to improve the propagation channel rank in mmWave massive MIMO systems without need to increase the transmit power budget. Then, we analyze the impact of the distributed IRS on the channel rank. To further reduce the heavy overhead of channel training, channel state information (CSI) estimation, and feedback in time-varying MIMO channels, we present a two-timescale reflection optimization scheme, where the IRS is configured relatively infrequently based on statistical CSI (S-CSI) and the active beamformers and power allocation are updated based on quickly outdated instantaneous CSI (I-CSI) per slot. The achievable average sum-rate (AASR) of the system is maximized without excessive overhead of cascaded channel estimation. A recursive sampling particle swarm optimization (PSO) algorithm is developed to optimize the large-timescale IRS reflection pattern efficiently with reduced samplings of channel samples.

Simon Stock, Davood Babazadeh, Christian Becker et al.

While the uncertainty in generation and demand increases, accurately estimating the dynamic characteristics of power systems becomes crucial for employing the appropriate control actions to maintain their stability. In our previous work, we have shown that Bayesian Physics-informed Neural Networks (BPINNs) outperform conventional system identification methods in identifying the power system dynamic behavior under measurement noise. This paper takes the next natural step and addresses the more significant challenge, exploring how BPINN perform in estimating power system dynamics under increasing uncertainty from many Inverter-based Resources (IBRs) connected to the grid. These introduce a different type of uncertainty, compared to noisy measurements. The BPINN combines the advantages of Physics-informed Neural Networks (PINNs), such as inverse problem applicability, with Bayesian approaches for uncertainty quantification. We explore the BPINN performance on a wide range of systems, starting from a single machine infinite bus (SMIB) system and 3-bus system to extract important insights, to the 14-bus CIGRE distribution grid, and the large IEEE 118-bus system. We also investigate approaches that can accelerate the BPINN training, such as pretraining and transfer learning. Throughout this paper, we show that in presence of uncertainty, the BPINN achieves orders of magnitude lower errors than the widely popular method for system identification SINDy and significantly lower errors than PINN, while transfer learning helps reduce training time by up to 80 %.

Esmaeel Mohammadi, Anju Rani, Mikkel Stokholm-Bjerregaard et al.

This paper introduces the Agtrup (BlueKolding) dataset, collected from Denmark's Agtrup wastewater treatment plant, specifically designed to enhance phosphorus removal via chemical and biological methods. This rich dataset is assembled through a high-frequency Supervisory Control and Data Acquisition (SCADA) system data collection process, which captures a wide range of variables related to the operational dynamics of nutrient removal. It comprises time-series data featuring measurements sampled to a frequency of two minutes across various control, process, and environmental variables. The comprehensive dataset aims to foster significant advancements in wastewater management by supporting the development of sophisticated predictive models and optimizing operational strategies. By providing detailed insights into the interactions and efficiencies of chemical and biological phosphorus removal processes, the dataset serves as a vital resource for environmental researchers and engineers focused on improving the sustainability and effectiveness of wastewater treatment operations. The ultimate goal of this dataset is to facilitate the creation of digital twins and the application of machine learning techniques, such as deep reinforcement learning, to predict and enhance system performance under varying operational conditions.

Pikkin Lau, Lingfeng Wang, Wei Wei et al.

In this paper, a novel cyber-insurance model design is proposed based on system risk evaluation with smart technology applications. The cyber insurance policy for power systems is tailored via cyber risk modeling, reliability impact analysis, and insurance premium calculation. A stochastic Epidemic Network Model is developed to evaluate the cyber risk by propagating cyberattacks among graphical vulnerabilities. Smart technologies deployed in risk modeling include smart monitoring and job thread assignment. Smart monitoring boosts the substation availability against cyberattacks with preventive and corrective measures. The job thread assignment solution reduces the execution failures by distributing the control and monitoring tasks to multiple threads. Reliability assessment is deployed to estimate load losses convertible to monetary losses. These monetary losses would be shared through a mutual insurance plan. To ensure a fair distribution of indemnity, a new Shapley mutual insurance principle is devised. Effectiveness of the proposed Shapley mutual insurance design is validated via case studies. The Shapley premium is compared with existent premium designs. It is shown that the Shapley premium has high indemnity levels closer to those of Tail Conditional Expectation premium. Meanwhile, the Shapley premium is nearly as affordable as the coalitional premium and keeps a relatively low insolvency probability.

Ludger Feyen, Christoph Artzner, P. Paprottka et al.

Abstract Purpose  To provide an overview of endovascular treatment of renal artery stenosis (RAS) using the data of the Deutsche Gesellschaft für interventionelle Radiologie (DeGIR) quality management system. Materials and Methods  A retrospective analysis was performed. Pre-, peri- and postprocedural data, technical success rates, complication rates, and clinical success rates at dismissal were examined. Results  Between 2018 and 2021, 2134 angiography examinations of the renal arteries were performed: diagnostic angiography in 70 patients (3 %), balloon angioplasty in 795 (37 %), stent implantation in 1166 (55 %) and miscellaneous procedures in 103 (5 %). The lesion length was less than or equal to 5 mm in 1837 patients (87 %), between 5 and 10 mm in 197 (9 %), and between 10 and 20 mm in 62 (3 %). The degree of stenosis was less than 50 % in 156 patients (7 %), greater than 50 % in 239 (11 %), and greater than 70 % in 1472 (70 %). Occlusion was treated in 235 patients (11 %). Symptoms at discharge resolved in 600 patients (29 %), improved in 1012 (49 %), were unchanged in 77 (4 %), and worsened in 5 (0.2 %). Complications were reported in 51 patients (2.5 %) and the mortality rate was 0.15 %. Conclusion  A substantial number of patients with RAS and occlusions were treated by radiologists in Germany, with high technical success rates and low complication rates. The indication should be determined carefully as the current European guidelines for the treatment of RAS suggest that only carefully selected groups of patients will benefit from recanalizing treatment. Key Points:   Carefully selected patient groups may benefit from endovascular treatment of renal artery stenosis. Analysis of the DEGIR quality management database shows that treatment of renal artery stenosis was performed by radiologists in Germany with high technical success rates and low complication rates. Recanalization even led to symptom improvement in a large proportion of patients with occlusions.

Vinicius de Moraes Alves, Amanda Gilvani Cordeiro Matias

Trata-se de um estudo descritivo, realizado com base na análise secundária de informações disponíveis no Sistema de Informação sobre Mortalidade (SIM), período de 2010 a 2020, no estado da Bahia. O objetivo foi analisar as Declarações de Óbito (DO) por causas não-externas emitidas pelos Institutos Médico-Legais (IML) da Bahia. A análise dos dados foi realizada mediante utilização dos softwares Tabwin e o Microsoft Office Excel, pelo qual os dados foram tabulados. As declarações de óbito emitidas pelos IML do Estado, totalizaram 159.157, sendo 36.196 (≅23%) por causas não-externas, cuja maioria foram registradas na cidade de Salvador atingindo ≅ 22%. O perfil desses óbitos era de pessoas idosas, cujas causas mais prevalentes foram desconhecidas, cardiovasculares e respiratórias, respectivamente. Suas possíveis causas são reflexos de diversas origens, como a ausência de Serviço de Verificação de Óbitos, aspectos da formação médica no Brasil e estrutura policial, por exemplo, gerando uma cascata de transtornos aos IML, familiares do falecido e para o serviço público. Mortes naturais, as quais deveriam ter a sua DO emitida pelos médicos assistentes, substitutos ou pelos Serviço de Verificação de Óbitos, vêm sendo sistematicamente direcionadas aos IML da Bahia. Sugere-se a ampliação da implantação de Serviço de Verificação de Óbitos, aliado as adequações no ensino médico, no que tange aos aspectos deontológicos e éticos que contemplem melhor confluência, para desenvolvimento de habilidades, competências e responsabilidades, relativas as normativas do exercício profissional do médico, nos diferentes serviços públicos que lidam com ato prescritivo do óbito.

Chidozie Emmanuel Mbada, Omotola Adam Onigbinde, Olufemi Oyeleye Oyewole et al.

Abstract Background Physiotherapy education and practice have country-specific peculiarities which may limit globalization in health care. This study aimed to characterize physiotherapy practice and treatment preferences, educational qualifications, and research in Nigeria, with a view of providing vital information for transnational integration and collaboration. Methods A cross-sectional survey of 104 Nigerian physiotherapists was conducted. The Physical Therapy Practice Questionnaire and a self-developed proforma were used as survey tools. Results The mean age of respondents was 33.5 ± 9.4 years. About two-fifth of all respondents (39.4%) had an MSc and mostly practice as clinicians (51.0%) in teaching hospitals (34.6%). The respondents were mostly involved in general practice (50.0%), with a caseload of 1–10 patients per day (67.3%). Soft tissue mobilization (83%), proprioceptive neuromuscular facilitation (76%), breathing exercises (77%), and transcutaneous electrical neuromuscular stimulation (83%) were commonly used. Respondents were familiar databases and evidence-based resources (81.2%) and mostly utilize PubMed (73.3%). Regular case conferences with professional colleagues (47.6%) and treatment planning of between 11 and 30 min (40.6%) were common. Educators spend 1–3 h planning educational work (91.8%). Clinical decision-making is mostly based on professional experience, while journals are the primary resource for educational information. Conclusion Physiotherapy practice in Nigeria is degree based and requires registration board’s licensure. Practitioners deal with a high caseload and utilize a wide range of techniques and modalities and have tendencies to utilize personal experience and research in making clinical decisions. The parity in education and practice with advanced climes inadvertently gives physiotherapy practice in Nigeria a global purview.

Noman Bashir, Yasra Chandio, David Irwin et al.

Environmentally-powered computer systems operate on renewable energy harvested from their environment, such as solar or wind, and stored in batteries. While harvesting environmental energy has long been necessary for small-scale embedded systems without access to external power sources, it is also increasingly important in designing sustainable larger-scale systems for edge applications. For sustained operations, such systems must consider not only the electrical energy but also the thermal energy available in the environment in their design and operation. Unfortunately, prior work generally ignores the impact of thermal effects, and instead implicitly assumes ideal temperatures. To address the problem, we develop a thermodynamic model that captures the interplay of electrical and thermal energy in environmentally-powered computer systems. The model captures the effect of environmental conditions, the system's physical properties, and workload scheduling on performance. In evaluating our model, we distill the thermal effects that impact these systems using a small-scale prototype and a programmable incubator. We then leverage our model to show how considering these thermal effects in designing and operating environmentally-powered computer systems of varying scales can improve their energy-efficiency, performance, and availability.

Soulaimane Berkane, Dionysis Theodosis, Tarek Hamel et al.

This letter deals with the problem of state estimation for a class of systems involving linear dynamics with multiple quadratic output measurements. We propose a systematic approach to immerse the original system into a linear time-varying (LTV) system of a higher dimension. The methodology extends the original system by incorporating a minimum number of auxiliary states, ensuring that the resulting extended system exhibits both linear dynamics and linear output. Consequently, any Kalman-type observer can showcase global state estimation, provided the system is uniformly observable.

A. Golota, D. A. Vologzhanin, T. Kamilova et al.

Not all the patients who are diagnosed with COVID-19 can completely recover; some of them experience miscellaneous persistent symptoms that subsequently wax or wane. As the COVID-19 pandemic continues, the number of people with long-term symptoms is rapidly increasing, adding to the burden on healthcare and society. The prevalence of the consequences of COVID-19 varies between studies, with some reporting that more than half of hospitalized patients have prolonged symptoms for at least 6 months after acute SARS-CoV-2 infection, and others for more than 12 months. The overall prevalence of residual symptoms in patients infected with SARS-CoV-2 is currently estimated to be 1030%. This clinical syndrome is commonly referred to as post-acute COVID syndrome (PACS) or long COVID. This multifactorial syndrome is characterised by a variety of debilitating symptoms, including fatigue, brain fog, postural hypotension with tachycardia, and post-exertional malaise. Many of the observations of post COVID-19 condition, including changes in immune, cardiovascular, gastrointestinal, nervous and autonomic systems, are shared with the symptoms described in myalgic encephalitis/chronic fatigue syndrome (ME/CFS) patients. Comprehensive longitudinal symptom monitoring is required to confirm of diagnosis, uncover the mechanisms of post-COVID-19-associated ME/CFS, and develop prevention and treatment measures. Current absence of the effective treatment reflects the unclear causes of the post COVID-19 conditions which cannot be targeted properly until the mechanism is established and confirmed. The multisystem aspects of long COVID remain poorly understood. The COVID-19 pandemic has exposed a significant gap in knowledge about the post-acute consequences of infectious diseases and the need for a unified nomenclature and classification of post-COVID conditions, diagnostic criteria, and reliable assessments of these disorders. Unraveling the complex biology of PACS relies on the identification of biomarkers in plasma and tissue samples taken from individuals infected with SARS-CoV-2 that will allow classification of the phenotypes of patients who develop PACS. For the full treatment of patients with post-COVID syndrome, multidisciplinary therapy and rehabilitation are required. Understanding the physiological mechanisms underlying the long-term clinical manifestations of COVID-19 and the post-COVID-19 state is vital to the development of appropriate effective therapies.

M. T. Islam, Eunüs S. Ali, S. Uddin et al.

P. Schmitz, G. Hannink, Joey Reijmer et al.

Background and purpose - Trochanteric fractures are often treated using intramedullary fixation. In our institution, the TFN-Advanced Proximal Femoral Nailing System (TFNA) was introduced as replacement for the Gamma Trochanteric Nail (GTN3) for the treatment of these fractures as a result of a hospital-driven change of trauma implant supplier. We compared trochanteric fracture fixation failure rate between these 2 intramedullary nails. Patients and methods - All trochanteric fractures treated surgically from 2011 to 2019 were retrospectively reviewed for fixation failure. From 2016 only the TFNA was used. Fixation failure was defined as implant cut-out, implant breakage, non-union, malpositioning of the screw/blade requiring reoperation, new fracture around the nail, or miscellaneous. Propensity score matching was used to balance distribution of covariates and to compare failure rates between TFNA and GTN3 groups. Learning curve analyses were performed. Results - After exclusion, 797 GTN3s (779 patients) and 542 (536 patients) TFNAs were available for analysis. A higher risk of fixation failure was found in the TFNA group (14%) compared with the GTN3 group (7.0%) (hazard ratio [HR] 2.0, 95% confidence interval [CI] 1.2-3.5). This was mainly attributed to a higher risk of cut-out (HR 2.2; CI 0.9-5.7), malpositioning (HR 4.7; CI 0.7-34), and new fracture around the nail (HR 4.0; CI 1.0-16). Learning curve analyses indicated no clear learning curve effect. Interpretation - Failure of fixation increased after a switch from the GTN3 to the TFNA proximal femoral nail for the treatment of trochanteric fractures. Cut-out and malpositioning of the calcar screw or blade appeared to be the most dominant failure mechanisms. Modifications in implant design may have played a role in this increased risk of failure of fixation. In our institution a new implant device was introduced without solid clinical evidence behind it. This study may help to underline the need for medical doctors with a critical and scientific background to be involved in implant choices.