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Impact of Vitamin E-Coated Membrane Hemodiafilter on Serum Albumin Redox State in the Acute Kidney Injury Pig Hemodialysis Model

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Artificial Organs 2025年第6期49卷 1076-1081页

作者： Fujimoto, Shouichi Koremoto, Masahide Yamamoto, Shushi Umeno, Hiroshi Sano, Yusuke Tsuruda, Toshihiro M&N Collaboration Research Laboratory Department of Medical Environment Innovation Faculty of Medicine University of Miyazaki Miyazaki Japan Blood Purification Business Division Asahi Kasei Medical Co. Ltd. Tokyo Japan Division of Companion Animal Surgery Department of Small Animal Clinical Sciences School of Veterinary Medicine Rakuno Gakuen University Ebetsu Japan Department of Hemo-Vascular Advanced Medicine Cardiorenal Research Laboratory Faculty of Medicine University of Miyazaki Miyazaki Japan Applied Technology Development Group Research and Development Department Asahi Kasei Medical Co. Ltd. Shizuoka Fuji Japan

Background: Several studies have evaluated the biocompatibility of dialysis membranes. The use of vitamin E-coated membranes has been reported multilaterally in in vitro and clinical studies. Nevertheless, the effect of vitamin E-coated membranes on the redox state of serum albumin, which forms the largest fraction of reactive sulfhydryl groups, has not been reported. Methods: Hemodiafiltration (HDF) with and without a vitamin E-coated hemodiafilter (V-RATM group and ABHTM groups, respectively) was performed in an acute kidney injury pig model to determine whether changes in the serum albumin, the oxidized albumin (OxiALB), and the reduced albumin (RedALB) levels differ between the two groups. Results: Analyses were conducted 22–24 times in the V-RATM group and 16–18 times in the ABHTM group, excluding missing data. The serum albumin levels decreased in both groups after nephrectomy;however, the decrease observed in the V-RATM group was significantly lesser than that in the ABHTM group. RedALB levels were significantly higher in the V-RATM group;in contrast, OxiALB levels did not differ between the two groups. A significant positive correlation was observed between the serum albumin and RedALB levels. Conclusions: The present study demonstrated that HDF performed using a vitamin E-coated hemodiafilter effectively minimized the reduction in serum albumin and RedALB levels compared to the vitamin E-non-coated hemodiafilter in an acute kidney injury pig model. © 2025 The Author(s). Artificial Organs published by International Center for Artificial Organ and Transplantation (ICAOT) and Wiley Periodicals LLC.

关键词： Rats

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Applying Layer-Wise Relevance Propagation on U-Net Architectures 27th

Applying Layer-Wise Relevance Propagation on U-Net Architect...

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27th International Conference on Pattern Recognition, ICPR 2024

作者： Weinberger, Patrick Fröhler, Bernhard Heim, Anja Gall, Alexander Bodenhofer, Ulrich Senck, Sascha Research Group Computed Tomography University of Applied Sciences Upper Austria Wels Austria School of Informatics Communication and Media University of Applied Sciences Upper Austria Wels Austria Johannes Kepler University Linz Linz Austria Faculty of Computer Science and Mathematics University of Passau Passau Germany Division Development Center X-ray Technology Fraunhofer Institute for Integrated Circuits IIS Erlangen Germany

ISBN: (纸本)9783031781971

For safety critical applications, it is still a challenge to use AI and fulfill all regulatory requirements. Medicine/healthcare and transportation are two fields where regulatory requirements are of fundamental importance. A wrong decision can lead to serious hazards or even deaths. In these fields, semantic segmentation is often utilized to extract features. Especially U-Net architectures are used. This paper shows how to apply layer-wise relevance propagation (LRP) to a trained U-Net architecture. We achieve an efficient explanation of a segmentation by back-propagating the whole resulting image. To tackle the non-linear results of the LRP, we introduce a threshold mechanism in combination with a logarithmic transfer function to preprocess the data for visualization. We demonstrate our method on three use cases: the segmentation of a fiber-reinforced polymer in the field of non-destructive testing, the segmentation of pedestrians in an automotive application, and a lung segmentation example from the medical domain. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Semantic Segmentation

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Efficient Classification of Live Sensor Data on Low-Energy IoT Devices with Simple Machine Learning Methods 19thth

Efficient Classification of Live Sensor Data on Low-Energy...

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19th International Conference on Computer Aided Systems Theory, EUROCAST 2024

作者： Hanreich, Martin Krauss, Oliver Zwettler, Gerald Research and Development Research group AIST University of Applied Sciences Upper Austria Hagenberg4232 Austria Faculty for Informatics Communications and Media Department of Media Technology and Design University of Applied Sciences Upper Austria Hagenberg4232 Austria Faculty for Informatics Communications and Media Department of Software Engineering University of Applied Sciences Upper Austria Hagenberg4232 Austria

ISBN: (纸本)9783031829598

This paper addresses the implementation of time series classification on Internet of Things (IoT) devices with minimal resource usage while maintaining required accuracy levels. Although IoT devices have grown more powerful, optimizing resource usage remains essential to reduce costs and extend battery life. This work explores the practical aspects of developing and deploying time series classification models on IoT devices, emphasizing non-neural network models due to their lower resource demands. A detection system utilizing multiple predictions and a voting-based mechanism is constructed to enhance prediction stability. The input data comprises multivariate sensor streams of the same length. All computations are performed on the device, leveraging edge computing principles without external server dependency. This approach demonstrates how to balance accuracy and resource efficiency in IoT-based time series classification, offering a practical framework for similar applications. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Energy-Efficiency IoT-Devices Machine Learning Time-Series-Classification

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Embracing a constraints-led approach for skills acquisition in nursing education: Insights from a focus group study

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International Journal of Educational research Open 2025年 9卷

作者： Verdoes, Loes Dikken, Jeroen Brakel-van Lobenstein, Natasja van van Leeuwen – Prins, Saskia T. Mariëlle de Waal, G. Renden, Peter G. Department of Nursing Faculty of Health Nutrition & Sport The Hague University of Applied Sciences The Hague Netherlands Research Group Urban Aging Centre of Expertise Health Innovation The Hague University of Applied Sciences The Hague Netherlands Research Group Rehabilitation and Technology Centre of Expertise Health Innovation The Hague University of Applied Sciences The Hague Netherlands Department of Dermal Therapy Faculty of Health Nutrition & Sport The Hague University of Applied Sciences The Hague Netherlands Research Group Relational Care Centre of Expertise Health Innovation The Hague University of Applied Sciences The Hague Netherlands School of Health Professions Education Department of Educational Development and Research Faculty of Health Medicine and Life Sciences Maastricht University Maastricht Netherlands

Introduction: Nursing education traditionally teaches skill acquisition in isolated practice drills and guided by step-by-step protocols. While these approaches may seem to provide a solid foundation, they do not adequately bridge the gap between a controlled learning environment and the reality of nursing practice. The constraints-led approach (CLA) is an applied theory, which explains that skill acquisition is a process of adjusting to the characteristics of a situation, instead of reproducing isolated, “ideal” movements out of context. Given that CLA has gained recognition as an effective learning method in various fields, it is worth investigating how CLA can be implemented for skill acquisition in nursing education. Methods: To gain insight into student experiences of several CLA-exercises, an explorative qualitative design was used. Ten longitudinal focus groups with nursing students (n = 11) were performed to gain deeper understanding of students' experiences with an education course in which several “CLA-exercises” were integrated. In addition, the teachers (n = 3) involved were interviewed after the course was completed. Results: The students experienced the education course as enjoyable, challenging and reality-based. Also, the exercises motivated students to keep practicing. The students further appreciated the room for autonomy and self-organization. The teachers expressed enthusiasm for CLA-inspired education, noting the benefits of varied methods and the need for expert feedback and well-working practice materials. Conclusion: Both students and teachers felt confident that the students who completed this course were ready to apply the learned skills under supervision in clinical practice. © 2025

关键词： Ecological dynamics framework Reality-based learning Self-organization Skill learning Transfer

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Gel-derived NiO–MoS 2 for the scalable fabrication of bifunctional screen-printed electrodes for overall water splitting

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International Journal of Hydrogen Energy 2025年 139卷 247-256页

作者： Zhoveta Yhobu Muralikrishna Sreeramareddygari Chatuporn Phanthong Srinivasa Budagumpi Doddahalli H. Nagaraju Wachira Chaiworn Mithran Somasundrum Patsamon Rijiravanich Surawut Chuangchote Werasak Surareungchai Sensor Technology Laboratory Pilot Plant Development and Training Institute King Mongkut's University of Technology Thonburi Bangkhuntien-chaitalay Road Thakam Bangkok 10150 Thailand Centre for Nano and Material Sciences JAIN (Deemed–to–be University) Jain Global Campus Kanakapura Bangalore 562 112 Karnataka India Industrial Sensor Technology Research Team Biochemical Engineering and System Biology Research Group National Center for Genetic Engineering and Biotechnology National Science and Technology Development Agency at KMUTT (Bangkhuntien Campus) Bangkok 10150 Thailand Department of Chemistry School of Applied Sciences REVA University Kattigenahalli Yelahanka Bangalore 560 064 Karnataka India Department of Tool and Materials Engineering Faculty of Engineering King Mongkut's University of Technology Thonburi (KMUTT) 126 Prachauthit Rd. Bangmod Thungkru Bangkok 10140 Thailand Research Center for Advanced Materials for Energy and Environmental Technology (MEET) King Mongkut's University of Technology Thonburi (KMUTT) 126 Prachauthit Rd. Bangmod Thungkru Bangkok 10140 Thailand Nanoscience & Nanotechnology Graduate Programme Faculty of Science King Mongkut's University of Technology Thonburi Bangkhuntien-chaitalay Road Thakam Bangkok 10150 Thailand

The fabrication of flexible, free-standing electrodes is crucial for advancing renewable energy technologies, particularly in energy conversion and storage. Traditional electrode fabrication methods often involve complex procedures, high material wastage, and limited scalability, whereas screen printing offers a cost-effective, reproducible, and scalable approach for producing high-performance electrodes with uniform coatings. This study introduces a versatile screen-printing strategy for fabricating flexible carbon cloth (CC) electrodes using NiO–MoS 2 ink derived from a solvothermal method. The resulting screen-printed CC electrodes function as efficient bifunctional catalysts for the hydrogen evolution reaction (HER), oxygen evolution reaction (OER), and overall water splitting in alkaline media. The NiO–MoS 2 screen-printed CC electrode exhibits excellent electrocatalytic performance, achieving an OER overpotential ( η 10 ) of 382 mV vs RHE with a Tafel slope of 75 mV/dec and HER overpotential ( η 10 ) of −159 mV vs RHE and Tafel slope of 116 mV/dec. To further demonstrate its bifunctionality, the NiO–MoS 2 screen-printed CC electrode was assembled into a water-splitting electrolyzer, requiring a cell voltage of 1.79 V to reach a current density of 10 mA/cm 2 and exhibiting outstanding operational durability. The robustness and structural integrity of the developed electrode is confirmed by the post-stability analysis, highlighting the potential of the methodology reported in this work for the scalable fabrication of high-performance electrodes for water splitting applications.

关键词： Screen printing

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A review on effect of nanoparticle addition on thermal behavior of natural fiber–reinforced composites

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Heliyon 2025年第1期11卷 e41192页

作者： Balaji, D. Kumar, P. Sathish Bhuvaneshwari, V. Rajeshkumar, L. Singh, Manoj Kumar Sanjay, M.R. Siengchin, Suchart Department of Mechanical Engineering KPR Institute of Engineering and Technology Tamil Nadu Coimbatore 641407 India Centre for Research and Development KPR Institute of Engineering and Technology Tamil Nadu Coimbatore 641407 India Natural Composites Research Group Lab Department of Materials and Production Engineering The Sirindhorn International Thai-German Graduate School of Engineering King Mongkut's University of Technology North Bangkok Bangkok 10800 Thailand AU-Sophisticated Testing and Instrumentation Centre and Department of Mechanical Engineering Alliance School of Applied Engineering Alliance University Karnataka Bengaluru 562106 India

Always, the environment in which humans live needs to be saved from various calamities, and one such calamity is usage of petroleum-based products. Petroleum-based products are derived from various synthetic processes that adversely affect the environment. It may not reflect immediately, but it affects in the near future. They are non-environmentally friendly and cannot progress toward the sustainability factor. The alternative to metallic or synthetic fibers is natural fibers that are derived from plant sources. The demerits of using natural fiber is its less strength;however, this strength can be enhanced by incorporating it as a strengthening component in polymer matrix composite (PMC) materials. Still, the major advantage of using metal is its ability to withstand higher temperatures, whereas PMCs fail in these characteristics. The use of nanoparticles as fillers in the natural fiber–reinforced PMCs is a probable solution to the above problem. This review assesses the thermal characteristics of various nanoparticle-filled natural fiber–based polymer composites. It can be seen from most of the research that the filled polymer composites exhibit better thermal behavior compared with non-filled polymer composites. This consolidation would be useful for researchers to further accelerate their research in this domain. © 2024 The Authors

关键词： Nanoparticle Natural fibers Polymer composites Thermal behavior

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Enhanced Automatic Generation Control in Multiarea Power Systems: Crow Search Optimized Cascade FOPI-TIDDN Controller With Integrated Renewable Solar Thermal Models and HVDC Lines

Engineering Reports

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Engineering Reports 2025年第5期7卷

作者： Babu, Naladi Ram Sunitha, Pamarthi B. S. S., Ganesh Pardhu Bhagat, Sanjeev Kumar Ramesh, Adireddy Saha, Arindita Mbasso, Wulfran Fendzi Jangir, Pradeep Hossam-Eldin, Ahmed Department of Electrical and Electronics Engineering Aditya University Kakinada India Department of Electronics and Communication Engineering Aditya University Kakinada India Department of Electrical Engineering Sandip University Madhubani India Department of Electrical Engineering Regent Education and Research Foundation Group of Institutions Kolkata India Technology and Applied Sciences Laboratory U.I.T. of Douala University of Douala Douala Cameroon Department of Biosciences Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Chennai India Applied Science Research Center Applied Science Private University Amman Jordan University Centre for Research and Development Chandigarh University Gharuan Mohali India Department of CSE Graphic Era Hill University Dehradun India Department of CSE Graphic Era Deemed to be University Dehradun India Centre for Research Impact & Outcome Chitkara University Institute of Engineering and Technology Chitkara University Punjab Rajpura India Department of Electrical and Electronics Engineering J.J. Technology Tamilnadu Tiruchirappalli India Department of Electrical Power and Machines Faculty of Engineering Alexandria University Alexandria Egypt

As renewable energy sources (RES) are increasingly unified into multiarea power systems, automatic generation control (AGC) faces challenges such as frequency instability, longer settling times, and higher overshoot. While existing optimization techniques like Firefly (FF) and gray wolf (GW) suffer from slow convergence and local optima trapping, conventional controllers like FOPI, PIDN, TIDN, and TIDDN struggle to maintain stability under fluctuating load conditions. Fractional-Order Proportional-Integral with Tilt Integral Double Derivative and Filter (FOPI-TIDDN), a novel cascade controller optimized using the crow search (CS) algorithm, is proposed in this paper to overcome these issues. Furthermore, a two-area AGC framework incorporates realistic dish-Stirling solar thermal systems (RDSTS) and parabolic trough solar thermal plants (PTSTP), and the effects of these systems are examined under different patterns of solar insolation. Additionally, the study assesses how high voltage direct current (HVDC) tie-lines contribute to increased system stability. According to simulation data, the FOPI-TIDDN controller works noticeably better than others in terms of improved frequency regulation, faster settling time, and less overshoot. Compared to FF and GW approaches, the CS algorithm guarantees faster convergence. An ideal fixed-random solar insolation method and HVDC integration also improve system performance. The suggested method enhances renewable-integrated power systems' resilience, efficiency, and stability. © 2025 The Author(s). Engineering Reports published by John Wiley & Sons Ltd.

关键词： Frequency stability

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Mono-(6-sulfinic acid)-Sugammadex: A newly identified cyclodextrin-based oxidative impurity in industrial production

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Carbohydrate Polymers 2025年 362卷 123659页

作者： Rávai, Bettina Kese, István Szakály, Péter Soma Herr, Dominika Iványi, Róbert Bálint, Erika Szőcs, Levente Department of Organic Chemistry and Technology Faculty of Chemical Technology and Biotechnology Budapest University of Technology and Economics Műegyetem rkp. 3. BudapestH-1111 Hungary CycloLab Cyclodextrin Research and Development Ltd. Illatos út 7. BudapestH-1097 Hungary Department of Applied Biotechnology and Food Science Faculty of Chemical Technology and Biotechnology Budapest University of Technology and Economics Műegyetem rkp. 3. BudapestH-1111 Hungary Hevesy György PhD School of Chemistry ELTE Eötvös Loránd University Institute of Chemistry Pázmány Péter sétány 1/A BudapestH-1117 Hungary Ion Mobility Mass Spectrometry Research Group ELTE Eötvös Loránd University Institute of Chemistry Department of Analytical Chemistry Pázmány Péter sétány 1/A BudapestH-1117 Hungary

Sugammadex is the first cyclodextrin-based API with a well-known mechanism of action, result of a rational drug design and development. It is a γ-cyclodextrin derivative, substituted only on the primary hydroxyl groups, resulting a single isomer and a symmetric molecule. Due to the complex synthetic and purification procedures, currently there are more than a dozen of identified and characterized process related impurities. As the patent held by the originator (Merck & Co., Inc.) approaches expiration globally, generic manufacturers are likely to develop alternative synthetic pathways, which may lead to an increase in the number of impurities. Mapping and characterizing the impurity profile of Sugammadex is therefore essential to ensure patient safety and maintain drug efficacy. In this paper, we have identified and characterized a novel impurity formed through the oxidation and side-chain cleavage of the sulfide bond. © 2025 Elsevier Ltd

关键词： High performance liquid chromatography

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Burden of inguinal, femoral, and abdominal hernias in India: A systematic analysis of prevalence, incidence, mortality, and DALYs from global burden of disease study 1990–2021 with projections to 2031

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Hernia 2025年第1期29卷 1-18页

作者： Satapathy, Prakasini Jena, Ashutosh Gaidhane, Abhay M. Vadia, Nasir Menon, Soumya V. Chennakesavulu, Kattela Panigrahi, Rajashree Kaur, Manpreet Bushi, Ganesh Shabil, Muhammed Goyal, Mayank Kumar, Harish Rani, Anju Ansar, Sabah Sah, Sanjit Khatib, Mahalaqua Nazli Goh, Khang Wen Jena, Diptismita Center for Global Health Research Saveetha Medical College and Hospital Saveetha Institute of Medical and Technical Sciences Saveetha University Chennai India Faculty of Data Science and Information Technology INTI International University Nilai Malaysia Noida Institute of Engineering and Technology (Pharmacy Institute) Greater Noida India School of Epidemiology and Public Health Jawaharlal Nehru Medical College and Global Health Academy Datta Meghe Institute of Higher Education Wardha India Department of Pharmaceutical Sciences Faculty of Health Sciences Marwadi University Research Center Marwadi University Gujarat Rajkot 360003 India Department of Chemistry and Biochemistry School of Sciences JAIN (Deemed to Be University) Karnataka Bangalore India Department of Chemistry Sathyabama Institute of Science and Technology Tamil Nadu Chennai India Department of Microbiology IMS and SUM Hospital Siksha ‘O’ Anusandhan (Deemed to Be University) Odisha Bhubaneswar 751003 India Department of Pharmacy Chandigarh Pharmacy College Chandigarh Group of Colleges-Jhanjeri Punjab Mohali 140307 India Chitkara Centre for Research and Development Chitkara University Institute of Engineering and Technology Chitkara University Himachal Pradesh Solan 174103 India School of Pharmaceutical Sciences Lovely Professional University Phagwara India University Center for Research and Development Chandigarh University Punjab Mohali India Medical Laboratories Techniques Department AL-Mustaqbal University Babil Hillah 51001 Iraq IES Institute of Pharmacy IES University Madhya Pradesh Bhopal 462044 India Tughlakabad Institutional Area New Delhi Institute of Management New Delhi India Department of Microbiology Graphic Era (Deemed to Be University) Clement Town Dehradun 248002 India Graphic Era Hill University Clement Town Dehradun India Department of Clinical Laboratory Sciences College of Applied Medical Sciences King Saud University P.O. Box 10219 Riyadh 11433 Sa

Background: Hernias are a major health concern in India, with varying incidence and prevalence influenced by socio-demographic factors. Despite global advances in hernia management, regional disparities are evident within India. Method: This analysis utilized data from the Global Burden of Disease (GBD) Study 2021 to examine inguinal, femoral, and abdominal hernias across India from 1990 to 2021, categorized by ICD-10 codes. Key metrics analyzed included prevalence, incidence, mortality, and Disability-Adjusted Life Years (DALYs), with age-standardized rates (ASRs). The Estimated Annual Percentage Change (EAPC) for incidence and mortality, Spearman correlation for assessing the relationship between Socio-Demographic Index (SDI) and hernia metrics, and ARIMA models for future trend projections were employed. Result: Between 1990 and 2021, the age-standardized incidence rate (ASIR) of hernias in India decreased from 143.85 to 137.05 per 100,000, a reduction of 4.72%, despite a 46% increase in the absolute number of hernia cases due to population growth. Mortality rates significantly declined by 57.05%. DALYs also decreased from 98.01 to 43.51 per 100,000. Projections for 2031 indicate stabilization of incidence rates and an increase in prevalence. Conclusions: Significant improvements in hernia management in India have been achieved over three decades, driven by advances in healthcare and socio-demographic progress. However, the rising number of cases and expected increase in prevalence highlight the need for enhanced healthcare strategies and resource allocation to manage the hernia burden effectively. © The Author(s), under exclusive licence to Springer-Verlag France SAS, part of Springer Nature 2025.

关键词： ARIMA EAPC Global Burden of Disease Hernia India Socio-Demographic Index

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Distributed Classification - A Scalable Approach to Semi Supervised Machine Learning 34

Distributed Classification - A Scalable Approach to Semi Sup...

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34th European Modeling and Simulation Symposium, EMSS 2022

作者： Meindl, Rainer Sandler, Simone Mayrhuber, Elisabeth Krauss, Oliver Research Group Advanced Information Systems and Technology Research and Development Department University of Applied Sciences Upper Austria

Fitting real world data into a model for classification, is a challenging task. Modern approaches to classification are often resource intensive and may become bottlenecks. A microservice architecture that allows maintaining a model of real world data, and adding new information as it becomes available is presented in this paper. Updates to the model are handled via different microservices. The architecture and connected workflows are demonstrated in a use case of classifying text data in a taxonomy represented by a directed acyclic graph (DAG). The presented architecture removes the classification bottleneck, as multiple data points can be added independent of each other, and reading access to the model is not restricted. Additional microservices also enable a manual intervention to update the model. © 2022 The Authors.

关键词： Classification (of information)

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