Operating System Research Articles

Comparison of CAMS and CMAQ analyses of surface-level PM2.5 and O3 over the conterminous United States (CONUS)

To reduce economic and health impacts from poor air quality (AQ) in the U.S., the National Air Quality Forecasting Capability (NAQFC) at the National Oceanic and Atmospheric Administration (NOAA) produces forecasts of surface-level ozone (O3), fine particulate matter (PM2.5), and other pollutants so that advance notice and warning can be issued to help individuals and communities limit their exposure. The NAQFC uses the U.S. Environmental Protection Agency (EPA) Community Multiscale Air Quality (CMAQ) model for operational forecasts. This study is a first step in proposing a potential upgrade to the current operational NAQFC bias-correction system, by examining potential candidates for a gridded analysis (“truth”) dataset.In this paper, we compare the performance of the “analysis” time series over the period of August 2020–December 2021 at EPA AirNow stations for both PM2.5 and O3 from raw Copernicus Atmosphere Monitoring Service (CAMS) reanalyses, raw CAMS near real-time forecasts, raw near real-time CMAQ forecasts, bias-corrected CAMS forecasts, and bias-corrected CMAQ forecasts (CMAQ FC BC). This 17-month period spans two wildfire seasons, to assess model “analysis” performance in high-end AQ events. In addition to determining the best-performing gridded product, this process allows us to benchmark the performance of CMAQ forecasts against other global datasets (CAMS reanalysis and forecasts). For both PM2.5 and O3, the bias correction algorithm employed here greatly improved upon the raw model time series, and CMAQ FC BC was the best-performing model “analysis” time series, having the lowest RMSE, smallest bias error, and largest critical success index at multiple thresholds.

Accuracy Evaluation of LiDAR-SLAM Based 2-Dimensional Modelling for Indoor Environment: A Case Study

The rapid development of sensor technologies has led to smaller sensor sizes and lower costs. Today, the easy purchase of sensors such as cameras, Light Detection and Ranging (LiDAR), Radio Detection and Ranging (RADAR), Inertial Measurement Unit (IMU), and Global Navigation Satellite Systems (GNSS) receivers has caused significant developments in many applications such as robotics and unmanned vehicles. Raw data is transformed into information and products thanks to the methods in which the sensor data are used alone or with sensor integration. Simultaneous Localization and Mapping (SLAM) is one of the critical methods in which the vehicle's location is determined and the environment is modeled. This method can realize applications using cameras, LiDAR, or RADAR sensors as detection sensors. This study aimed to model an indoor area with a two-dimensional (2D) LiDAR sensor placed on an Unmanned Ground Vehicle (UGV) and analyzed the accuracy of the produced model. Normal Distribution Transform (NDT) - Particle Swarm Optimization (PSO) algorithm was used to generate the 2D model from the collected LiDAR data. The NDT-PSO algorithm was run on the Robot Operating System (ROS) installed on the Jetson Nano Developer Kit, and a real-time 2D model of the working area was processed. The reference lengths of the 75 facades in the 232 m2 indoor space were measured using a total station and calculated with CAD software. Percent error values were evaluated by comparing the reference and model lengths of the facades.

Research on the railway multi-source homonymous geographical entity matching algorithm based on dynamic time warping

This study aims to explore an efficient technique for matching multisource homonymous geographical entities in railways to address the identification issues of homonymous geographical entities. Focusing on railway line vector spatial data, this research investigates the matching problem of multisource homonymous geographical entities. Building on statistical feature matching of attribute data, a curve similarity calculation method based on the DTW algorithm is designed to achieve better local elastic matching, overcoming the limitations of the Fréchet algorithm. The empirical study utilizes railway line layer data from two data sources within Beijing’s jurisdiction, fusing 6237 segment lines from source 2 with 105 long lines from source 1. The structural comparison between the two data sources is conducted through statistical methods, applying cosine similarity and the maximum similarity value of TF-IDF for text similarity calculation. Finally, Python is used to implement the DTW algorithm for curve similarity. The experimental results show an average DTW distance of 3.92, a standard deviation of 4.63, and a mode of 0.005. Similarity measurement results indicate that 95.53% of records are within the predetermined threshold, demonstrating the effectiveness and applicability of the method. The findings significantly enhance the accuracy of railway data matching, promoting the informatization of the railway industry, and hold substantial significance for improving railway operational efficiency and system performance.

The Cost of Lipoedema Treatment Exceeds the DRG Revenues - Evaluation of the Surgical Treatment Costs of Lipoedema (Stage III) at a German University Clinic

Liposuction for stage III lipoedema is a guideline-based but also time-consuming treatment, which can be carried out under specific conditions at the expense of the German statutory health insurance companies (SHI) based on a decision made by the German Federal Joint Committee ("Gemeinsamer Bundesausschuss", G-BA), the highest decision-making body in the German healthcare system, in 09/2019. We postulate that the treatment is not reflected in a cost-covering manner in the university cost system. This monocentric, retrospective study examined the economic aspects of 92 cases in 48 lipoedema patients treated during the period from 09/2019 to 08/2023 at the expense of the SHI. These cases were filtered out using DRG coding and the Operation and Procedure Classification system ("Operationen- und Prozedurenschlüssel", OPS), and the costs and revenues per patient were calculated using the data from our internal service accounting. After an inpatient stay of 2.64±1.33 days, the total revenue was € 4,726.79±680.98. This included € 1,532.92±856.99 inpatient costs, € 2,686.02±1,174.70 in operating costs, € 940.76±189.18 in anaesthesia costs and € 63.19±125.38 in other costs that had to be paid within the clinic. On average across all treatments, this resulted in a loss of -€ 875.22 /case. In 54 cases (59%), the costs exceeded the revenue. In total, the calculation of all cases resulted in a loss of € -80,520.63. If medical personnel costs are included, this amount rises to over € 100,000. The results show that the surgical treatment of lipoedema in the German DRG and university cost systems is not cost-covering. This could be relevant in the final economic assessment of the G-BA, which may result in an adjustment of the DRG revenue.

A Systems Firm-Centered Perspective on the Environmental Assessment of Recyclable PET and Glass Soft Drink Containers

This paper adopts a systems firm-centered perspective on the environmental assessment of recyclable glass and PET soft drink containers. We employ LCA and discrete-event simulation modeling for the environmental assessment of the two soft drinks packaging alternatives in operational terms over the entire supply chain over a period of three years. The assessment is based on real data collected from a large soft drink producer and its suppliers. The research and practice contribution of the paper is twofold: first, it introduces a methodological framework for environmental assessment of companies’ packaging environmental impact under different product and operations strategies; and secondly, it provides a holistic environmental assessment of the two packaging materials (PET and glass) taking into account specific operational issues, such as product mix and recycling and reuse options, as well as activity interdependences and stochasticity. The results of the simulation experiments confirm at the operations system level, for glass, the importance for sustainability, to increase the number of reuse cycles (for the particular case, for significant improvement, seven reuses) and the percentage of used bottles collected for refilling (80% recovery rate), whereas for PET, to increase the percentage of recycled PET in new bottles (towards 30%).

PERANCANGAN APLIKASI MANAJEMEN PRODUKSI KOPI PT. KARYA BAKTI BERBASIS WEB DENGAN MENGGUNAKAN MODEL PROTOTYPE

The coffee industry has a complex production process right up to the distribution of the final product. Along with increasing competition in the coffee industry, PT. Karya Bakti faces the challenge of increasing productivity, maintaining product quality, and optimizing the supply chain. To manage this process efficiently and effectively, PT. Karya Bakti requires a management system that is reliable and can be accessed easily. Thus, this research will discuss how to design and build an information system and find out how to implement coffee production management applications at PT. Web-based Bakti Work. In this research, the UML method is used as a means of designing an object-oriented system with a Prototype model. In this research, to find out the problems that occur in a system, it is a good idea to analyze the operating system and try to understand how the system works well. After that, the proposed system design is carried out, there will be an admin who will have full control over the system by creating use cases, class diagrams, activity diagrams. In the design of a web-based coffee production management application, the users who can use this application are the authorized departments in production management. In accordance with the system design previously discovered, the application has several list display designs for the data displayed on the application pages. This research produces a management information system to help PT. Karya Bakti in processing data, both sales data, income data, roasting data, purchase or order data. With this information system, it has made it easier for PT. Karya Bakti in making monthly or annual reports with a success rate of 70%, coffee production management information system PT. Karya Bakti can increase efficiency and productivity and this coffee production management information system was only developed specifically for PT. Community Service. However, the author hopes that this system will be developed in a mobile version and because this information system is not yet equipped with employee management, recitation and inventory features, it is highly recommended for future research to add these features. Keywords: Design, Application, Management, Web, Prototype

Controlling user access with scripting to mitigate cyber-attacks

With the growing threats in the dynamic digital landscape, organizations are grappling with the difficult task of managing cyber-attacks by restricting user accessibility to most communication systems. This study aimed to develop a Linux script as a proactive response to the growing of cyber-attacks in organizational settings to prevent attacking vectors based on user negligence. The primary objective was to devise inventive solutions through script automation to restrict user access to the organizational network within predefined time frames, thereby mitigating potential cyber threats. The criteria used to define predefined time frames for user access, include the restriction of users on off duty times, The scripting seeks to address cyber-attacks targeted such as cross-site scripting (XSS) and SQL injection. To achieve the goal of this paper, the necessary steps and logic required to develop the scripts were taken. For instance, there are several suitable languages such as Bash, Python, or Perl, that can be used to write script. The paper selected Bash because it excels at scripting existing command-line tools and utilities, making it a great choice for automating tasks by using Vim text editor tool. The final scripts were run, some errors were identified, and modified as needed to ensure it worked correctly. This phase was necessary to improve the script's performance, readability, and maintainability by refining code, using efficient algorithms, by incorporating best practices. Finally, the various user inputs and scenarios were deployed to put the script into production for user access management. The adopted script metrics deployed such as Script Execution Time, Resources Utilization, Success Rate and Error Rate helped in evaluating the performance, efficiency, and effectiveness of the scripts. The implementation of the script achieved an executive time of 0.032 s, success rate was 1 and error rate was 0. The practical implementation in organizations can be scaled up or down depending on the organization's size and infrastructure. The compatibility of the developed Linux script with different operating systems, hardware platforms and network architectures will have no impact in adapting to various organizational environments. The script did not show any challenges, but real-world deployment may exhibit some potential challenges and limitations that may be associated with implementing the solution, such as resource constraints and legacy system compatibility.

Research on Production Operation System of Sucker Rod Pumping Units

Oil is the most important raw material in modern industry, and its extraction mainly relies on natural flow and artificial lifting. Sucker rod pumping is currently the most widely used method of artificial lifting for mechanical oil extraction, accounting for about 60% to 70% of all methods. This paper deeply explores the theoretical methods involved in the production operation process of sucker rod pumping units. From the perspective of sucker rod pumping unit production operation, a literature review is conducted on the flow patterns in the wellbore, pump efficiency analysis, and intermittent oil extraction systems, clarifying the optimization objectives of liquid production and system efficiency, and sorting out from the aspects of dynamic liquid level, pump efficiency, reasonable submergence depth, and intermittent operation systems. Through in-depth analysis of these key areas, a solid methodological foundation is provided for the future design and development of sucker rod pumping unit production operation systems.

Evaluation of the incident management system of a bigger city during the winter flood 2023/24 in northern Germany: Organized (ir)responsibility in the pre-disaster phase

Incident management systems operate within complex and uncertain conditions during disasters. Therefore, researching their activities is challenging as there is no clear right or wrong. The winter 2023/2024 flood event in the city of Oldenburg, Germany, provided an opportunity to evaluate crisis management under high uncertainty, although no disaster has eventually occurred. Three stakeholder groups of the Incident Management System were examined through After-Action Reviews: The Emergency Operation Center (EOC), specialist advisors, and the Area Command (AC). Data on performance shaping factors (descriptions and judgements) were collected and analyzed using the Countenance Evaluation Model as a general framework in combination with a Systems-Thinking approach. The study aimed to identify variables within and between groups as well as factors in the environment that either hindered or facilitated work transactions. It emerged that the work organization in bodies of public administration is at odds with the uncertain, fast-paced, and problem-oriented structure of Incident Management System operations, causing stress and adding workload to employees. Additionally, the separation of strategic and tactical decision making led to coordination issues due to divergent time structures and task logics of EOC and AC. Furthermore, although specialist advisors played a crucial role in risk assessments and setting the direction of risk mitigation activities, it became clear that this person related resource is scarce and difficult to embed into the Incident Command System. A final finding is the importance of the larger Emergency Operation Center working environment. The spatial constraints and noise levels caused stress.

Exploring Marine-Based Food Production: The Challenges for a Sustainable and Fast Biotechnology-Based Development

Marine-derived nutrients and bioactive compounds may offer a myriad of biological benefits, such as anticancer and anti-inflammatory properties, and technological potential, enhancing food quality as additives. Their role in the sustainable development of food technology is fundamental, especially in advancing the knowledge of functional foods and related technologies. Algae are considered one of the major sources of marine-derived ingredients and the subject of several recent studies. Despite their potential, the translation of marine ingredients’ potential into a marine-based competitiveness of the food industry faces hurdles in the extraction process and operational systems scale-up that the industry needs to tackle. The complexity of marine matrices with diverse compounds and solubilities adds complexity to extraction processes and may lead to low yields or bioactivity loss. Contaminants, like heavy metals and pesticide residues in marine organisms, require rigorous purification processes for product safety. The use of biorefinery systems in marine-based ingredients’ production, particularly cascade processes, offers zero-waste solutions, contributing to the blue economy and aligning with UN sustainability goals. Sustainability assessment tools are critical for evaluating marine-based food production’s environmental, social, and economic impacts. A continued exploration and collaboration are essential for the future, fostering innovation and sustainability to create a resilient, equitable, and eco-friendly food system.

Numerical study of fluid flow and entropy optimization subject to second order slip condition across a permeable curved surface

The entropy generation analysis has great significance in the industrial sectors with heat transmission and fluid flows, for evaluating the irreversibility aspect of a system in heat transfer operations. The numerical simulation of entropy generation and the nanofluid flow across a permeable curved surface subject to cross-diffusion and irregular heat source/sink is reported in the current investigation. The thermodynamics 2nd law is used to simulate the entropy optimization. The flow phenomena are mathematically described by partial differential equations (PDEs), which are derived in a curvilinear coordinate system. The system of ODEs (ordinary differential equations) is derived by using the similarity conversion, which is further numerically calculated through the parametric continuation method (PCM) using MATLAB software. The results reveal that the velocity slip and curvature parameters improve the velocity profile whereas the inverse effect is observed against the surface permeability parameter. It can also be noticed that the entropy optimization enhances with the variation in Brinkman number and temperature ratio parameter. The impact of Schmidt number and chemical reaction decline the mass transmission ratio.

Outdoor light at night is a modifiable environmental factor for metabolic syndrome: The 33 Communities Chinese Health Study (33CCHS)

Metabolic syndrome (MetS) is a significant public health problem and presents an escalating clinical challenge globally. To combat this problem effectively, urgent measures including identify some modifiable environmental factors are necessary. Outdoor artificial light at night (LAN) exposure garnered much attention due to its impact on circadian rhythms and metabolic process. However, epidemiological evidence on the association between outdoor LAN exposure and MetS remains limited. To determine the relationship between outdoor LAN exposure and MetS, 15,477 adults participated the 33 Communities Chinese Health Study (33CCHS) in 2009 were evaluated. Annual levels of outdoor LAN exposure at participants' residential addresses were assessed using satellite data from the Defense Meteorological Satellite Program (DMSP) Operational Linescan System (OLS). Generalized linear mixed effect models were utilized to assess the association of LAN exposure with MetS and its components, including elevated waist circumference (WC), triglycerides (TG), blood pressure (BP), fasting blood glucose (FBG), and reduced high-density lipoprotein cholesterol (HDL-C). Effect modification by various social demographic and behavior factors was also examined. Overall, 4701 (30.37 %) participants were defined as MetS. The LAN exposure ranged from 6.03 to 175.00 nW/cm2/sr. The adjusted odds ratio (OR) of MetS each quartile increment of LAN exposure were 1.43 (95 % CI: 1.21–1.69), 1.44 (95 % CI: 1.19–1.74) and 1.52 (95 % CI: 1.11–2.08), respectively from Q2–Q4. Similar adverse associations were also found for the components of MetS, especially for elevated BP, TG and FBG. Interaction analyses indicated that the above associations were stronger in participants without habitual exercise compared with those with habitual exercise (e.g. OR were 1.52 [95 % CI: 1.28–1.82] vs. 1.27 [95 % CI, 1.04–1.55], P-interaction = 0.042 for MetS). These findings suggest that long-term exposure to LAN can have a significant deleterious effect on MetS, potentially making LAN an important modifiable environmental factor to target in future preventive strategies.

Revitalisasi Bank Sampah Gesit Desa Rumah Gerat melalui Edukasi dan Penataan Sistem Operasional Bank Sampah

This community service activity aims to enhance the effectiveness of the "Bank Sampah Gesit" in Rumah Gerat Village through educational initiatives and operational system restructuring. The program includes educating participants on waste management concepts, types of recyclable materials, and effective operational management, followed by a Focus Group Discussion (FGD) to design improved operational systems. Using a one-shot case study approach with pretest-posttest assessments, this initiative successfully increased participants' knowledge and understanding of waste management principles and established a functional waste management system. This system includes the types of waste managed, waste deposit recording systems, and the roles of waste collectors and sponsors in sustaining the bank. Fully supported by the Research and Community Service Institute (LPPM) of Universitas Negeri Medan and in collaboration with Roda Hijau Kota Medan, this community service program encourages active community participation in environmental conservation efforts. The goal is for this initiative to inspire the residents of Rumah Gerat Village to manage waste more efficiently, positively impacting the local environment, and creating a cleaner and sustainable environment for future generations.

Development of Ecological Low-Carbon Agriculture with Chinese Characteristics in the New Era: Features, Practical Issues, and Pathways

Agriculture is not only the source of carbon emissions, but also an important carbon sink. The development of low-carbon agriculture in China is closely related to achieving the national strategic goal of “dual carbon.” Reducing carbon emissions in China’s agricultural sector and accelerating the development of ecological low-carbon agriculture (ELA) are extremely important and urgent, both from the perspective of the long-term common welfare for mankind and from the perspective of maintaining the sustainable development of agriculture itself. However, ELA is still an emerging concept in China, and its connotation and characteristics are not yet clear. There is a lack of effective paths for orderly and scientific promotion of the development of ELA in China. Based on this, this paper focuses on the emerging concept of ELA and examines ELA with Chinese characteristics from the dimensions of connotation, features, practical issues, and pathways, aiming to provide guidance for the sustainable development of ELA in China. The research results indicate that there are regional development imbalances, low willingness of farmers to participate, insufficient technological reserves, and difficulties in realizing the value of ecological products in China’s ELA. It is necessary to improve the modern agricultural production and operation system, tap into the potential of agricultural emission reduction and carbon sequestration, build a technical system to support the development of ELA, and establish a sound mechanism for realizing the value of ecological products. By continuously improving the regional organizational capacity and performance of ELA, accelerating the advancement of ELA technology and demonstrating its regional promotion, and by establishing and continuously improving the support system for ELA, one can promote the sustainable development of ELA in China. In addition, the research findings of this paper can also provide reference for the ecological low-carbon development of the global agricultural sector, supporting the contribution of the agricultural sector to achieving high-quality global sustainable development goals.

Development of a Wave Model Component in the First Coupled Global Ensemble Forecast System at NOAA

Abstract We describe the development of the wave component in the first global-scale coupled operational forecast system using the Unified Forecasting System (UFS) at the National Oceanic and Atmospheric Administration (NOAA), part of the US National Weather Service (NWS) operational forecasting suite. The operational implementation of the atmosphere-wave coupled Global Ensemble Forecast System version 12 (GEFSv12) in September 2020 was a critical step in NOAA’s transition to the broader community-based UFS framework. GEFSv12 represents a significant advancement, extending forecast ranges and empowering the NWS to deliver advanced weather predictions with extended lead times for high-impact events. The integration of a coupled wave component with higher spatial and temporal resolution and optimized physics parameterizations notably enhanced forecast skill and predictability, particularly benefiting winter storm predictions of wave heights and peak wave periods. This successful endeavor encountered challenges that were addressed by the simultaneous development of new features that enhanced wave model forecast skill and product quality and facilitated by a multidisciplinary team collaborating with NOAA’s operational forecasting centers. The GEFSv12 upgrade marks a pivotal shift in NOAA’s global forecasting capabilities, setting a new standard in wave prediction. We also describe the coupled GEFSv12-Wave component impacts on NOAA operational forecasts, and ongoing experimental enhancements, which altogether represent a substantial contribution to NOAA’s transition to the fully-coupled UFS framework.

Investigating Human-Robot Interactions with a Quadruped Robot

Robots are becoming more prevalent in our daily lives. As robots become more common in society, we must understand how people react and interact with them. This study leverages Boston Dynamics' Spot robot to examine human responses to quadruped robots. Previous studies had Spot walking alongside participants at fixed speeds, independent of their gait. Improving upon this method, I developed a program that enables Spot to detect and follow fiducial markers (AprilTags). Using the Robot Operating System (ROS), the depth and position of the tag within the camera’s frame were extracted and translated into motion commands for the robot. The tag is attached to an apparatus on the hip that extends the tag near the subject’s knee, allowing Spot to track the participant’s trunk speed and maintain a consistent distance, offering a more adaptive walking experience. The program allows for variations in the acceleration, height, and camera selection (front/back, left/right) through a custom Graphical User Interface (GUI), allowing for diverse trial conditions. Extensive testing identified considerations to optimize the walking experience. Factors included gradual acceleration to allow Spot to react and maintain detections, and the set requirement to run only a single camera at a time for optimized processing. Additionally, keeping the tag unobstructed and square to the camera is critical to avoid failures in detection. Overall, Spot's new capabilities will assist in further studies of human and robot interactions.

Design and Validation of an Ambulatory User Support Gait Rehabilitation Robot: NIMBLE

Relearning to walk requires progressive training in real scenarios—overground—along with assistance in basic tasks, such as balancing. In addition, user ability must be maximized through compliant robotic assistance as needed. Despite decades of research, gait rehabilitation robotic devices yield controversial results. This article presents the conceptual design of a novel walking assistance and rehabilitation robot, the NIMBLE robot, aimed at providing ambulatory, bodyweight-supported gait training, assisting the user’s center of mass trajectory to aid weight transfer and dynamic balance during walking. NIMBLE consists of a robotic mobile frame, a partial bodyweight support (PBWS) system, an ambulatory lower-limb exoskeleton (Exo-H3) and a cable-driven pelvis-assisting robot. Designed as a modular structure, it differentiates hierarchical communication levels through a Robot Operating System (ROS) 2 network. We present the mechatronic design and experimental results assessing the impact of the mechatronic coupling between the robotic modules on the walking kinematics and the frame movement control performance. The robotic frame hardly affects the walking kinematics up to 2 degrees in both the sagittal and frontal planes, making it feasible for lateral balance and weight translation training. Moreover, it successfully tracks and follows user trajectories. The NIMBLE robotic frame assessment shows promising results for ambulatory gait rehabilitation.

FP2.12 - 'To Evaluate Lower Threshold of Polyp Size for Tattooing Routinely, a Single Trust Observational Study.'

Abstract Aim The goal of the study is to establish the lowest polyp size for clinically effective tattooing routinely. Method Retrospective data collection of colonoscopy and flexible sigmoidoscopy for bowel screening and non-bowel screening patients; 450 patients underwent polypectomy of <20mm from September 2021 to September 2022 in MTW NHS Trust. Patients were included according to 'single patient single polyp' criteria. We excluded 20+ mm polyps, multiple polyp, known FAP, lynch syndrome and other genetic predisposed colorectal polyps. Histology was obtained from electronic patient records (Allscripts). SPSS version 25.0 was used for the statistical analysis, which also included ROC curve analysis and Chi-Square test. Results A total of 450 participants, 288 males (64.0%) and 162 females (36.0%), were enrolled. Polyp sizes: 0-9mm (42.2%) and 10-19mm (57.8%). 8.0% were tattooed. Polyps found in right- hemicolon, transverse, left-hemicolon, sigmoid and rectum accordingly 29.78%, 20.5%, 9.1%, 28.4% and 12.22%. Pedunculated polyps were found in 143 individuals (31.8%), while sessile polyps were observed in 256 individuals (56.9%). Furthermore, in histological analysis, 251 individuals (55.8%) exhibited tubular adenomas and the majority of the cohort (77.6%) presented with low-grade dysplasia. Malignant invasion was detected in 27 subjects (6%). Receiver operating system (ROC) curve analysis indicated that polyp size was a predictive factor for malignancy development, with a cut-off lower point identified at 8.5 mm. Conclusions The findings confirm the advice to tattoo polyps bigger than 8-9 mm to make tracing and follow- up easier.

Human neural stem cell-derived artificial organelles to improve oxidative phosphorylation

Oxidative phosphorylation (OXPHOS) in the mitochondrial inner membrane is a therapeutic target in many diseases. Neural stem cells (NSCs) show progress in improving mitochondrial dysfunction in the central nervous system (CNS). However, translating neural stem cell-based therapies to the clinic is challenged by uncontrollable biological variability or heterogeneity, hindering uniform clinical safety and efficacy evaluations. We propose a systematic top-down design based on membrane self-assembly to develop neural stem cell-derived oxidative phosphorylating artificial organelles (SAOs) for targeting the central nervous system as an alternative to NSCs. We construct human conditionally immortal clone neural stem cells (iNSCs) as parent cells and use a streamlined closed operation system to prepare neural stem cell-derived highly homogenous oxidative phosphorylating artificial organelles. These artificial organelles act as biomimetic organelles to mimic respiration chain function and perform oxidative phosphorylation, thus improving ATP synthesis deficiency and rectifying excessive mitochondrial reactive oxygen species production. Conclusively, we provide a framework for a generalizable manufacturing procedure that opens promising prospects for disease treatment.

Overview of Embedded Rust Operating Systems and Frameworks.

Embedded Operating Systems (OSs) are often developed in the C programming language. Developers justify this choice by the performance that can be achieved, the low memory footprint, and the ease of mapping hardware to software, as well as the strong adoption by industry of this programming language. The downside is that C is prone to security vulnerabilities unknowingly introduced by the software developer. Examples of such vulnerabilities are use-after-free, and buffer overflows. Like C, Rust is a compiled programming language that guarantees memory safety at compile time by adhering to a set of rules. There already exist a few OSs and frameworks that are entirely written in Rust, targeting sensor nodes. In this work, we give an overview of these OSs and frameworks and compare them on the basis of the features they provide, such as application isolation, scheduling, inter-process communication, and networking. Furthermore, we compare the OSs on the basis of the performance they provide, such as cycles and memory usage.