Use Of Processing Research Articles

Beyond the upgrade: unraveling the complexities of health information system migration

The need for efficient health information systems (HIS) becomes more critical as the healthcare industry and information technology era evolve. Some hospitals opt for in-house HIS implementation, while others prefer the software-as-a-service (SaaS) model. Although one solution may be more cost-effective than others, all HIS operations share the need for numerous management efforts to maintain regulatory compliance and ensure integrity with data manipulation processes. This becomes more significant during HIS migration when a hospital undergoes an extensive data transition from one system to another. In other words, hospital IT and service providers must ensure the seamless flow of patient data and system users during the HIS migration. This paper presents a real-life case study, including a framework of the implementation method, on a complete switch from a two-decade-old legacy HIS system to a state-of-the-art web-based HIS system in a non-incremental approach. Even though the HIS migration project achieved its primary objectives and can be deemed successful, the implementation process encountered several hurdles requiring problem-solving, decision-making and adaptability skills. Examples of such challenges include data integrity issues, user resistance, and the complexities of integrating multiple hospital departments. This case study highlights in a detailed framework how careful planning, stakeholder engagement, thorough testing, and continuous support were essential to overcoming obstacles. The key outcomes of this research besides the migration framework include an improvement in data accuracy, better clinical decision support, and enhanced operational efficiency, which could offer lessons for healthcare organizations or similar sectors looking to transition from legacy systems to modern ones.

Manipulation Game Considering No-Regret Strategies

This paper examines manipulation games through the lens of Machiavellianism, a psychological theory. It analyzes manipulation dynamics using principles like hierarchical perspectives, exploitation tactics, and the absence of conventional morals to interpret interpersonal interactions. Manipulators intersperse unethical behavior within their typical conduct, deploying deceptive tactics before resuming a baseline demeanor. The proposed solution leverages Lyapunov theory to establish and maintain Stackelberg equilibria. A Lyapunov-like function supports each asymptotically stable equilibrium, ensuring convergence to a Nash/Lyapunov equilibrium if it exists, inherently favoring no-regret strategies. The existence of an optimal solution is demonstrated via the Weierstrass theorem. The game is modeled as a three-level Stackelberg framework based on Markov chains. At the highest level, manipulators devise strategies that may not sway middle-level manipulated players, who counter with best-reply strategies mirroring the manipulators’ moves. Lower-level manipulators adjust their strategies in response to the manipulated players to sustain the manipulation process. This integration of stability analysis and strategic decision-making provides a robust framework for understanding and addressing manipulation in interpersonal contexts. A numerical example focusing on the oil market and its regulations highlights the findings of this work.

Terahertz‐Wave Polarization Space‐Division Multiplexing Meta‐Devices based on Spin‐Decoupled Phase Control

AbstractThis study presents a generalized design strategy for novel terahertz‐wave polarization space‐division multiplexing meta‐devices, functioning as multi‐polarization generators, modulators, and analyzers. It introduces the spin‐decoupled phase control method by combining gradient phase design with circular polarization multiplexing techniques, enabling exceptional flexibility in controlling the polarization directions and spatial distributions of multiple output beams. The meta‐device M‐4D is significantly demonstrated as proof of concept, which converts an incident linearly polarized wave into four beams with distinct polarization angles. Additionally, the advanced meta‐devices M‐2B and M‐4B are designed to generate two‐vector and four‐vector Bessel beams with tunable spatial polarization distributions. These meta‐devices demonstrate dynamic multi‐polarization beam modulation, validated through simulations and experiments. The proposed method significantly expands the design methodology for multi‐beam polarization control using all‐dielectric metasurfaces and holds promising potential for applications in imaging, sensing, particle manipulation, communication, and information processing. Moreover, it holds potential for adaptation to other spectral ranges.

Heterologous expression, purification, and biochemical characterization of protease 3075 from Cohnella sp. A01.

Proteases as one of the most significant categories of commercial enzymes, serve nowadays as the key ingredients in detergent formulations. Therefore, identifying detergent-compatible proteases with better properties is a continuous exercise. Accordingly, we were interested in the recombinant production and characterization of protease 3075 as a novel enzyme from thermophilic indigenous Cohnella sp. A01. The biochemical and structural features of the protease were probed by employing bioinformatic methods and in vitro studies. The bioinformatics analysis discovered that protease 3075 belongs to the C56-PfpI superfamily. The protease 3075 gene was cloned and heterologous expressed in Escherichia coli (E. coli) BL21. It was found that the enzyme contains 175 amino acids and 525 bp with a molecular weight of 19 kDa. Protease 3075 revealed acceptable activity in the range of 40-80°C and pH 5.5-8. The optimum activity of the enzyme was observed at 70°C and pH 6. The activity of protease 3075 increased about 4-fold in the presence of Tween 80 and acetone, while its activity attenuated in the presence of iodoacetic acid and iodoacetamide. Docking analyses revealed the dominant interaction between Tween 80 and protease 3075, mediated by hydrogen bonds and Van der Waals forces. Furthermore, molecular dynamics simulations (MDS) showed that Tween 80 increased the stability of the protease 3075 structure. Altogether, our data provided a novel enzyme by genetic manipulation process that could have significant industrial applications.

Edge effect of synthetic antiferromagnetic skyrmion in nanotrack

Synthetic antiferromagnetic (SAF) skyrmions with high-speed mobility and stability might be used for building the next-generation spintronic devices and information storage, where the skyrmion Hall effect can be completely eliminated in the antiferromagnetically exchange-coupled magnetic bilayer. However, little research has been done about the influence of the edge effect on the generation and manipulation process of isolated synthetic antiferromagnetic skyrmion via spin-polarized current. Here, we study the influence of the edge effect on the current-induced generation and motion of skyrmion dynamics in SAF bilayer racetracks. Investigation results show that a stable SAF skyrmion can be successfully generated when the varying width of racetrack and the distance between the current injection position and the left side of racetrack are larger than a certain threshold. A wider racetrack leads to lower total energy and higher speed of the SAF skyrmion within a certain threshold, while a larger distance between the current injection position and the left side of the racetrack leads to lower total energy and velocity within another threshold. Our results are useful for understanding of SAF skyrmion physics and may provide a guidance for the nonvolatile computing devices.

Acoustofluidic Tweezers Integrated with Droplet Sensing Enable Multifunctional Closed-Loop Droplet Manipulation.

Droplet manipulation technologies with surface acoustic waves attract significant attention for applications in fluid handling and bioanalysis. However, existing technologies face challenges in automation, precision, and functional integration, limiting broader applications. In this work, a highly integrated droplet-sensing acoustofluidic tweezer is developed, incorporating orthogonally arranged slanted finger interdigital transducers and a custom-designed control and detection circuit system. Using a single acoustic device, this tweezer enables switchable acoustic droplet manipulation and detection, providing multifunctional closed-loop manipulation of on-chip microliter-scale droplets. The platform takes advantage of the wideband frequency response characteristics of the transducers, along with an automated droplet detection algorithm, enabling high-precision detection of central positions, edge positions, contact diameters, and the number of droplets. With this feedback, automated closed-loop control of various droplet manipulation functions, including transportation, merging, mixing, splitting, and internal particle enrichment, is achieved for the first time on a single acoustic platform. This significantly enhances the precision, efficiency, and fault tolerance of the manipulation process. This droplet-sensing acoustofluidic tweezer provides an innovative acoustic solution for droplet manipulation technologies in fields such as fluid processing and biosensing, demonstrating significant application potential.

Spcolor: Semantic prior guided exemplar-based image colorization

Exemplar-based image colorization aims to colorize a target grayscale image based on a color reference image, and the key is to establish accurate pixel-level semantic correspondence between these two images. Previous methods directly search for correspondence over the entire reference image, and this type of global matching is prone to mismatch. Intuitively, a reasonable correspondence should be established between objects which are semantically similar. Motivated by this, we introduce the idea of semantic prior and propose SPColor, a semantic prior guided exemplar-based image colorization framework. Several novel components are systematically designed in SPColor, including a semantic prior guided correspondence network (SPC), a category reduction algorithm (CRA), and a similarity masked perceptual loss (SMP loss). Different from previous methods, SPColor establishes the correspondence between the pixels in the same semantic class locally. In this way, improper correspondence between different semantic classes is explicitly excluded, and the mismatch is obviously alleviated. In addition, SPColor supports region-level class assignments before SPC in the pipeline. With this feature, a category manipulation process (CMP) is proposed as an interactive interface to control colorization, which can also produce more varied colorization results and improve the flexibility of reference selection. Experiments demonstrate that our model outperforms recent state-of-the-art methods both quantitatively and qualitatively on public dataset. Our code is available at https://github.com/viector/spcolor.

Integrating Digital Twin and Asset Management System for Enhanced Pavement Infrastructure Maintenance

Aligned with the “Future of AI Technologies in Maintenance Training & Education,” our paper illustrates the methodology needed to bridge the gap between technological advancements and effective training and education in pavement infrastructure maintenance, by developing a maintenance decision tool through the seamless integration of asset management systems (AMS) with digital twin technology (DT). This approach empowers decision-makers with accurate and efficient maintenance planning capabilities. In summary, our goals intricately intertwine with the future of Artificial Intelligence (AI) technologies in maintenance training and education, highlighting the need for upskilling and integrating technology-driven methodologies into the educational landscape. The efficient management of pavement infrastructure is crucial for ensuring safe and sustainable transportation networks. In this context, the integration of cutting-edge technologies holds immense potential to redefine maintenance practices. This paper delves into the integration of Digital Twin technology with Asset Management Systems (AMS) as a pioneering approach to optimize pavement infrastructure maintenance. Digital Twin technology, acting as a virtual replica of physical assets, has revolutionized the way infrastructure is monitored and managed [1]. Complementing this, Asset Management System (AMS) is a systematic process of maintaining, upgrading and operating assets, combining engineering principles with sound business practice and economic rationale, and providing tools to facilitate a more organized and flexible approach to making the decisions necessary to achieve the public’s expectations providing a systematic framework for effective asset maintenance [2]. This paper outlines merging of these two systems, yielding a methodology for developing a maintenance decision tool through the seamless integration of pavement management systems with digital twin technology. This approach empowers decision-makers with accurate and efficient maintenance planning capabilities Through a real case study conducted on a significant road segment in Jeddah Municipality, Saudi Arabia, the paper showcases the possible benefits of this integration. The case study explores data acquisition, manipulation, and modeling processes. The integration further facilitates advanced analytics, and maintenance decision planning. As the transportation industry seeks innovative solutions to enhance infrastructure sustainability, the integration of DT technology and AMS emerges as a promising avenue.

Experimental and theoretical investigation of Chronic Lymphocytic Leukemia cell's viscoelastic contact mechanics using atomic force microscope

Chronic Lymphocytic Leukemia (CLL) is a type of cancer usually appearing in old age. In this research, a method for detecting CLL cells in young age through the analysis of geometrical and mechanical properties of human Leukocytes has been presented. For this purpose, the CLL cells are cultured and their geometric characteristics, adhesion force, and contact behavior have been examined using an Atomic Force Microscope (AFM) device. Subsequently, the obtained experimental results have been compared with the geometric and mechanical properties of Leukocytes. Furthermore, the manipulation process has been mathematically modeled using different adhesive and non-adhesive contact theories. The results showed that blood cancer cells have up to 8.17% smaller dimensions and up to 23.57% greater elastic modulus compared to leukocytes.

High‐Efficient Microfluidic Single‐Cell Trapping and Arraying with Absolute Sequential Capture and High Success Rate of Perfect Capture

AbstractMethodological improvement to single‐cell manipulation is critical for exploring the fundamentals of cellular life and unraveling biological complexity. Although micro‐manipulation technologies capable of precise cell localization have been widely established, scaling existing platforms for highly efficient single‐cell immobilization without sacrificing cell viability and sample quantity has proven challenging. Here, a highly efficient single‐cell trapping and arraying approach is introduced by advancing the performance of a microfluidic mechanical trapping chip. The chip can achieve representative single‐cell capture with over 99% efficiency and at least a 75% success rate of perfect capture, a precisely controlled single‐cell array, absolute sequential cell captures without cell loss, and the maintenance of high cell viability during the whole manipulation process. This approach enables diverse single‐cell trapping, large‐scale arraying manipulations, and dynamic cellular and molecular analysis, and offers a path toward the development of high‐performance single‐cell systems.

Towards Autonomous Retail Stocking and Picking: Methods Enabling Robust Vacuum-Based Robotic Manipulation in Densely Packed Environments.

With the advent of robotics and artificial intelligence, the potential for automating tasks within human-centric environments has increased significantly. This is particularly relevant in the retail sector where the demand for efficient operations and the shortage of labor drive the need for rapid advancements in robot-based technologies. Densely packed retail shelves pose unique challenges for robotic manipulation and detection due to limited space and diverse object shapes. Vacuum-based grasping technologies offer a promising solution but face challenges with object shape adaptability. The study proposes a framework for robotic grasping in retail environments, an adaptive vacuum-based grasping solution, and a new evaluation metric-termed grasp shear force resilience-for measuring the effectiveness and stability of the grasp during manipulation. The metric provides insights into how retail objects behave under different manipulation scenarios, allowing for better assessment and optimization of robotic grasping performance. The study's findings demonstrate the adaptive suction cups' ability to successfully handle a wide range of object shapes and sizes, which, in some cases, overcome commercially available solutions, particularly in adaptability. Additionally, the grasp shear force resilience metric highlights the effects of the manipulation process, such as in shear force and shake, on the manipulated object. This offers insights into its interaction with different vacuum cup grasping solutions in retail picking and restocking scenarios.

Interpenetrated Polymer Network Systems (PEG/PNIPAAm) Using Gamma Irradiation: Biological Evaluation for Potential Biomedical Applications

The potential antimicrobial and antibiofouling properties of previously synthesized PEG/NiPAAm interpenetrated polymer networks (IPNs) were investigated against three of the most common bacteria (E. coli, S. aureus, and S. epidermidis). The main goal was to evaluate the material’s biocompatibility and determine its potential use as an antifouling component in medical devices. This was intended to provide an alternative option that avoids drug usage as the primary treatment, thus contributing to the fight against antimicrobial resistance (AMR). Additionally, characterization and mechanical testing of the IPN were carried out to determine its resistance to manipulation processes in medical/surgical procedures. IPNs with different NiPAAm ratios exhibited excellent cytocompatibility with BALB/3T3 murine fibroblast cells, with cell viability values of between 90 and 98%. In addition, the results regarding the adsorption of albumin as a model protein showed a nearly constant adsorption percentage of almost zero. Furthermore, the bacterial inhibition tests yielded promising results, demonstrating effective pathogen growth inhibition after 48 h. These findings suggest the material’s suitability for use in biomedical applications.

Contesting the Prescriptibility of Emotion through Affective Encounters in Lucy Prebble’s The Effect (2012)

This paper explores how Lucy Prebble’s The Effect (2012) dramatises the subversive potentialities of affective encounters as an antidote to the isolating, profit-minded forms of posthumanisation prescribed by modern psychiatry. It argues that the play poignantly unveils how the convergence of the psychopharmaceutical industry with advanced capitalism and neoliberal ideology shape popular discourse around mental illnesses and the necessity of medically induced (self-)regulation of emotion. It also investigates how Prebble mingles crisis with hope in the piece by portraying the autonomy and unpredictability of affective bodily responses, which evade being translated into bio-data and destabilise biopsychiatry’s totalizing view of emotions as utterly controllable through the brain. My analysis utilises Rosi Braidotti’s theorisation of the posthuman subject as both susceptible to exploitation and control and as the site of resistance and ongoing transformation, as presented in her work The Posthuman (2013). It also employs Stefan Herbechter’s theories, as expressed in his book Posthumanism: A Critical Analysis (2013), on how biotechnological developments, advanced capitalism and ideology converge, facilitating new forms of self-governmentality. Finally, it refers to Brian Massumi’s conceptualisation of affect, prevalent in his work “The Autonomy of Affect” (1995) as an intense autonomic bodily response which resists processes of control and manipulation. Ultimately, I argue that The Effect highlights the transformative potential of affective encounters and interconnectedness, functioning as resistance to modern psychiatry’s isolating prescription of emotional self-governance through self-medication.

All-Optical Trapping and Programmable Transport of Gold Nanorods with Simultaneous Orientation and Spinning Control.

Gold nanorods (GNRs) are of special interest in nanotechnology and biomedical applications due to their biocompatibility, anisotropic shape, enhanced surface area, and tunable optical properties. The use of GNRs, for example, as sensors and mechanical actuators, relies on the ability to remotely control their orientation as well as their translational and rotational motion, whether individually or in groups. Achieving such particle control by using optical tools is challenging and exceeds the capabilities of conventional laser tweezers. We present a tool that addresses this complex manipulation problem by using a curve-shaped laser trap, enabling the optical capture and programmable transport of single and multiple GNRs along any trajectory. This type of laser trap combines confinement and propulsion optical forces with optical torque to transport the GNRs while simultaneously controlling their rotation (spinning) and orientation. The proposed system facilitates the light-driven control of GNRs and the quantitative characterization of their motion dynamics including transport speed, spinning frequency, orientation, and confinement strength. We experimentally demonstrate that remote control of the GNRs can be achieved both near a substrate surface (2D trapping) and deep within the sample (3D all-optical trapping). The motion dynamics of two sets of off-resonant GNRs, possessing similar aspect ratios but different resonance wavelengths, are analyzed to highlight the role played by their optical and mechanical properties in the optical manipulation process. The experimental results are supported by a theoretical model describing the observed motion dynamics of the GNRs. This optical manipulation tool can significantly facilitate applications of light-driven nanorods.

High-quality femtosecond laser cutting of battery electrodes with enhanced electrochemical performance by regulating the taper angle: Promoting green manufacturing and chemistry

Laser cutting electrode technology is an environmentally friendly and sustainable manufacturing method that offers many benefits, such as low energy consumption and greenhouse gases, no waste production, no tool wear, flexible manipulation, and multi-scale processing. However, achieving high cutting quality with adjustable notch shape and controllable dimension precision is still a cutting-edge challenge. In addition, the influence of laser cutting on the microscopic structure and electrochemical performance of battery electrodes has not been fully illustrated. Here, the Li4Ti5O12 (LTO) electrode is cut using a femtosecond laser technology. The processing parameters are systematically optimized, and the influence of laser cutting taper structure on the structure and performance of LTO electrodes is comprehensively investigated. It is found that laser photoionization and the generated plasma could create oxygen vacancies and thus more Ti3+/Ti4+ defects in the LTO electrodes, resulting in increased electronic conductivity. Moreover, proper taper structure could help improve electrolyte infiltration as well as Li+ diffusion kinetics. As a result, the laser cutting LTO electrode with the optimized taper angle of T = 0.004 shows excellent electrochemical performance. The capacity retention is more than 99.2 % after 400 cycles at 1C, and the specific capacity reaches ∼60 mAh g−1 at a high rate of 60C, which is about 1.7 times higher than that of mechanically cutting LTO electrodes. The outstanding electrochemical performance is also demonstrated by LiFePO4||Li4Ti5O12 full cells. This work could pave the way for the development and application of laser technology in cutting battery electrodes.

DESIGN OF A DEFERRED LABORATORY IN RADIOACTIVITY

This article describes the design of a Remote Laboratory (LR) for nuclear measurements. The use of LR is presented as an opportunity since it allows the process of manipulation and characterization of irradiated samples, as is common in experimentation, to be replicated more times than in a Traditional Laboratory (LT). The rapid technological development in the demanding and changing work environment and the difficult access or availability on the part of students to the infrastructure necessary to carry out specific practices, among other reasons, make it necessary to incorporate these new tools to facilitate the learning of the technology. The research and development presented here are being carried out in the RA-4 experimental reactor of the Institute of Nuclear Studies and Ionizing Radiations (IENRI) of Argentina, which will allow us to carry out student practices at any time, without having to the three people with the corresponding authorizations for handling the irradiated samples must be present: the reactor manager, an operator, and a radioprotection officer. Considering also that the sources to irradiate are scarce and the instrumentation is expensive. Keywords: Remote Laboratory, Radioactivity.

Combating deepfakes: a comprehensive multilayer deepfake video detection framework

Deepfakes represent a class of synthetic media crafted with the aid of advanced deep learning techniques that exhibit an unparalleled degree of authenticity. The rapid advancement in Artificial Intelligence (AI) has contributed to an increase in the prevalence of deepfakes on the internet, consequently amplifying the spread of misinformation among the public. Consequently, the detection of deepfakes has become a pressing concern. In this context, we put forth a comprehensive framework for deepfake video detection, which is built upon three distinct layers. The first layer, termed as the RGB features extraction layer, is designed to identify potential signs of forgery within the spatial domain of analogous video frames. The second layer, known as the GAN features extraction layer, focuses on the extraction of forgery fingerprints in the high-frequency region. This layer is specifically engineered to detect the fingerprints left by the Generative Adversarial Network (GAN) process in fake videos and the traces of the imaging process in genuine videos. The third and final layer, referred to as the facial region intra-frame inconsistency feature extraction layer, is dedicated to uncovering the anomalies associated with the manipulation process. This is achieved by extracting features from both the inner and outer regions of the manipulated portion of a frame. The extensive experimental evaluations have underscored the superior performance of proposed approach in comparison to existing state-of-the-art methods.

The development and evaluation of a parameter-free circuit-based model of bipolar membrane electrodialysis for process design and optimisation

Bipolar membrane electrodialysis (BPMED) is an emerging electromembrane technology which has the potential to replace existing pH manipulation process units among others and take advantage of the benefits posed by process electrification. The development of robust and flexible process models of BPMED for design and optimisation is paramount in derisking potential instillations and improving commercial viability. Herein, a circuit-based model of BPMED is presented which avoids reliance on empirical fitting parameters and training data. The resulting model is flexible enough that extension to account for added complexities may be readily adopted. The mass transfer and electrical resistance of six different domains (three membranes and three streams) were computed by applying fundamental laws such as Ohm’s law and Faraday’s first law. Acid-base reactions and their effect releasing current within the membranes were also considered. Furthermore, the stack model can be readily embedded in a broader process model. To this end, the stack model is applied to a recirculating-batch experiment using a delayed differential material balance to account for dead-time within the tubing and measurement flow-cells. Two orthogonal methods of experimental validation were conducted to assess the performance of the model over a range of concentrations and applied voltages. These involved running a recirculating-batch experiment and collecting current–voltage polarisation data, respectively, and both showed good agreement with the model predictions. Overall, a robust model of BPMED has been produced which is able to accurately predict system performance and will prove useful for the design and optimisation of industrial systems.

Информационный фактор нестабильности финансового рынка в условиях санкций недружественных стран и его нивелирование

The article is devoted to the analysis of one of the factors of financial market instability in the context of sanctions pressure on our country. The author analyzes the processes of informational and psychological manipulation of the actions of financial market participants. The opinions of scientists on problematic and controversial issues related to the destabilization of the situation in the financial market, as well as possible solutions to reduce the external impact of economic processes in the Russian Federation are presented. A measure of leveling the informational and related psychological factors of financial market instability is proposed.

Main Criteria for the Classification of Disinformation and Attempts to Criminalisation of Its Spread in Ukraine

Based on the methodology of documentary review of scientific sources, available materials of public organisations, the judicial practices in investigating cases of disinformation spread, Ukrainian and foreign sources, the process of disinformation propagation has been researched. Using this approach, the main criteria for classifying disinformation by domains, objectives, methods, sources, forms, and channels were formulated. It was found that in Ukraine, there is still no unified legislative practice to counter disinformation, which leads to the uncontrolled application of manipulative processes and the dissemination of unreliable information by hostile intelligence services. Mass media and other channels of disinformation dissemination continue to evade the attention of law enforcement agencies, for instance, in the fields of economics, science, education, culture, and sports.