Technological Leap Research Articles

Digital Due Process : Evaluating the Ethical Implications of Cloud-Based eDiscovery Tools in Criminal Investigations

This article examines the growing role of cloud-based eDiscovery in law enforcement and its implications for investigative efficiency and individual privacy rights. As cloud technologies revolutionize legal data processing, enabling real-time analysis of vast data volumes, law enforcement agencies are experiencing unprecedented acceleration in investigations and improvements in legal compliance. However, this technological leap raises significant privacy concerns, particularly regarding access to personal digital footprints such as emails, social media posts, and linked content. The article explores the delicate balance between leveraging cloud-based eDiscovery for enhanced law enforcement capabilities and safeguarding civil liberties in the digital age. Through analysis of case studies, legal frameworks, and emerging ethical guidelines, we evaluate current challenges and propose solutions for responsible implementation of cloud eDiscovery in law enforcement. The article underscores the urgent need for a comprehensive approach that harmonizes technological advancements with robust privacy protections, ensuring that the pursuit of justice does not come at the cost of individual rights in an increasingly digital world.

A quantum leap in desktop dry dental milling technology

A quantum leap in desktop dry dental milling technology

A Quasi-Solid-State Polymer Lithium-Metal Battery with Minimal Excess Lithium, Ultrathin Separator, and High-Mass Loading NMC811 Cathode.

Solid-state batteries with lithium metal anodes are considered the next major technology leap with respect to today's lithium-ion batteries, as they promise a significant increase in energy density. Expectations for solid-state batteries from the automotive and aviation sectors are high, but their implementation in industrial production remains challenging. Here, we report a solid-state lithium-metal battery enabled by a polymer electrolyte consisting of a poly(DMADAFSI) cationic polymer and LiFSI in Pyr13FSI as plasticizer. The polymer electrolyte is infiltrated and solidified in the pores of a commercial LiNi0.8Mn0.1Co0.1O2 (NMC811) cathode with up to 2.8 mAh cm-2 nominal areal capacity and in the pores of a 25 μm thin commercial polypropylene separator. Cathode and separator are finally laminated into a cell in combination with a commercial 20 μm thin lithium metal anode. Our demonstration of a solid-state polymer battery cycling at full nominal capacity employing exclusively commercially available components available at industrial scale represents a critical step forward toward the commercialization of a competitive all-solid-state battery technology.

Research on the Path of the Transformation and Development ofCommercial Banks under the Background of Internet Finance --Taking Bank A as an Example

The booming rise of Internet finance, which relies on the leap of Internet technology and the deep integration of cutting-edge technologies such as big data, AI, and blockchain, has completely reshaped the landscape of financial services. It has not only transcended geographical boundaries but also streamlined cumbersome intermediary processes, promoting the democratization and popularization of financial services. Then, In the face of this transformation, Bank A, as a representative of the traditional financial system, is facing unprecedented challenges and opportunities. It is important that users’ preferences have shifted towards the pursuit of ultimate convenience, efficiency, and personalized services, forcing Bank A to re-examine its business model and operational strategy. In the tide of Internet finance, Bank A urgently needs to explore a development path that can not only maintain stable operations but also flexibly adapt to market demands, realizing digital and intelligent transformation to remain competitive in the fiercely competitive market.

The Overview of Vertical Take-Off and Landing Technology

Vertical takeoff and landing (VTOL) technology is garnering significant attention in the aviation industry due to its distinct benefits and wide range of potential applications. A long runway is not necessary when using VTOL technology, which allows aircraft to take off and land vertically straight from the ground. Air mobility in cities, military activities, and emergency response are just a few of the areas where this technology is beneficial. This essay will provide an overview of the development, application, and future of vertical takeoff and landing technology. The technologys operating principles, advantages and limitations will also be explored. Overall, VTOL technology offers a tremendous leap in aircraft technology, with numerous possible uses. Even though there are still difficulties, more research and development will probably result in improvements and broader use.

Commercial Space Industry Development from the Perspective of the Triple Helix: Evidence from China and the United States

Abstract: The university-industry-government triple helix has been an ideal approach to interpret the growth of innovative industries, especially in the context of todays technological leap. This study examines the commercial space sectors in United States and China, the two leading space powers, to analyze how the triple helix structures evolve and synergize to shape their respective industries. It is found that in the United States, the helix is rooted in legislation and procurement support, spurred by a well-developed industrial system, and reinforced by extensive enterprise-university collaboration programs. In contrast, the Chinese triple helix formation trajectory begins with experimental policies and space infrastructure construction, evolves through enterprises considered positioning in reusable rocket and satellite internet, and is potentially propelled by an expanding scale of talents exiting state-owned space institutions or fostered by emerging academies. After that, a lateral comparison between the two triple-helix models is undertaken to unveil the characteristics, similarities, and disparities within the commercial space industries of these two nations. This paper concludes that, for nations aiming at establishing a commercially sustainable space industry, the essence lies in a fully developed triple helix where efforts of government, industry, and academia can systematically converge without significant lag in any aspect. The paper also mentions the potential benefits of commercial space cooperation between the United States and China.

Optimal design of the long-term LEO almanac by considering the atmosphere drag effects

ABSTRACT Almanac is an elegant design to help Global Navigation Satellite Systems (GNSS) signal acquisition, which has been adopted by all global satellite navigation systems. For the future low Earth orbit (LEO) navigation constellation, the almanac will be more critical due to larger constellation and signal Doppler variation, while the LEO orbit prediction is more challenging due to complex perturbation forces, especially atmospheric drag. This study introduces a novel 9-parameter almanac model for LEO constellation, leveraging the Empirical Mode Decomposition (EMD) method. Our innovative approach uniquely balances almanac accuracy and simplicity by considering the atmosphere drag effects, addressing a critical gap in existing models. The proposed almanac model is validated with four in-orbit LEO satellites at various altitudes. For the LEO with a 600 km orbit or lower, our model achieves a 50% improvement in 23-day orbit prediction accuracy compared to the classical GPS almanac model. This significant enhancement extends to visibility prediction and signal acquisition performance. Our design limits the maximum elevation angle error to less than 1.5 degrees, efficiently excluding invisible satellites during LEO navigation signal acquisition. Furthermore, for visible satellite, the proposed LEO almanac reduces the signal frequency searching range by about 20 times during acquisition, with Doppler prediction errors better than 0.5 kHz/0.3 kHz for 95% of cases. These advancements represent a substantial leap in LEO navigation technology, offering improved efficiency and accuracy for future satellite systems.

Nursing Education in the Era of Generative Artificial Intelligence: Are We Ready?

Generative artificial intelligence (GAI) has taken the world by storm, causing notable tension within the field of education. Nursing education is no exception, facing imminent challenges and opportunities. GAI, a unique and immensely powerful technology championed by ChatGPT (Chat generative pre-trained transformer), represents a new frontier in artificial intelligence. ChatGPT, a product of deep learning - a subset of machine learning that mirrors the human brain's approach to learning and responding to data, information, and prompts - exemplifies this technological leap (Sahoo et al., 2022). GAI stands out for its ability not only to provide responses but also to generate the content of those responses, surpassing the human-like interactions typically seen in conversational AI (Lim et al., 2023; Su & Yang, 2023). Currently, ChatGPT has demonstrated significant application potential in nursing education in various aspects. For example, ChatGPT provides personalized learning (Tam et al., 2023); is easy to use (Vaughn et al., 2024); provides rapid information (Goktas et al., 2024; Liu et al., 2023), rapid responses, and assistance in writing (Sun & Hoelscher, 2023); improves students' problem-solving and critical thinking skills (Goktas et al., 2024; Sun & Hoelscher, 2023); supports educators in developing curricula and preparing course materials and may be used in translation processes (Tam et al., 2023); and helps healthcare professionals better understand complex medical concepts and procedures by providing easily comprehensible and up-to-date information (Krüger et al., 2023). Therefore, integrating ChatGPT into nursing education not only provides students with a more effective and interactive learning experience but also offers educators supportive tools that are directly applicable in teaching. These technologies can enhance / improve teaching by providing personalized learning solutions through, for example, generating teaching cases and simulating clinical scenarios to enhance the learning experience of students (Liu et al., 2023; Vaughn et al., 2024). Despite the significant benefits realized, nursing education in the era of GAI also faces challenges and limitations. Over-reliance on ChatGPT may limit students' critical thinking, problem-solving, and innovation capabilities, leading to a lack of independent thought. Educators should integrate GAI-supported tools into the learning process, but encourage and guide students to use ChatGPT as a supplementary learning tool rather than a substitute (Tam et al., 2023). This approach will help ensure students develop the skills and knowledge necessary to use the technology responsibly and ethically and allow educators to better address key related challenges, enhance education quality, and lay a foundation for cultivating high-quality nursing professionals. GAI is inevitable, and banning it may lead to increased attention and psychological reactance, making students more eager to access this technology. Therefore, educational institutions should embrace rather than shun its use (Lim et al., 2023). It is hoped that readers, after reading this special column, will be inspired to learn more about GAI applications and their significance and thus come to view GAI as a driving force for educational transformation, ensuring the continuous development of education and safeguarding the future of education and, by extension, the society of tomorrow.

Advancing the Coupling of III–V Quantum Dots to Photonic Structures to Shape Their Emission Diagram

AbstractThe development of optoelectronic devices based on III–V semiconductor colloidal quantum dots (CQDs) is highly sought after due to their reduced toxicity. While devices based on conventional CQDs (II–VI semiconductors, halide perovskites) have achieved impressive technological leaps since their discovery, the most mature of these compounds contain toxic heavy metal elements (Cd, Hg, or Pb), which are highly undesirable for safe industrial scale applications. The strong covalent bonds of III–V compounds like InP, InAs, or InSb prevent the release of their toxic atoms, making them safer. However, these same bonds create severe material constraints. Namely, their harsher reaction conditions and increased sensitivity to oxidation have kept most of the research focused on material development. Meanwhile, their integration into devices and their coupling to photonic structures lag behind. Here, the integration of InAs/ZnSe core‐shell CQDs is advanced. First, the material parameters necessary to design plasmonic gratings coupled to the CQDs are elucidated and those gratings are fabricated. Angle‐resolved spectroscopy shows that the plasmon modes successfully couple to the CQD layer's emission leading to a tunable directivity with a 15° linewidth. A 3‐fold increase of the PL signal is achieved at normal incidence, thus advancing toward the goal of efficient outcoupling in LEDs.

Наблюдения върху аспекти от потребителското поведение онлайн

In a period of less than a decade, technological leaps provide more and more methods of communication, and in addition to a quantitative increase, qualities such as the speed of messages, the volume of information, means and mechanisms, and others, also follow rapid development. And yet, users are losing the basic hygiene of communication. Behaviors that ensure safe, respectful and effective interactions in the digital environment are somehow becoming rare, especially between users who have different opinions. The article offered to your attention looks at the problems of communication in society and more precisely in digital communication, as the main focus will be on modern trends in the behavior of the public when consuming online platforms.

FEATURES OF CONDUCTING INFORMATION WARS IN THE XXI CENTURY

The transformation of the world order has led to a rather serious change in the issues of war and peace in the XXI century. The development of competition between states leads to the search for new tools for implementing policies and their goals on the world stage. Information wars are the use of information and related technologies to gain an advantage over the enemy and are becoming more widespread in the world every year, which undoubtedly indicates the relevance of the topic. In this regard, the author of the study set a goal to identify the main features of waging information wars in the XXI century. New threats and challenges, such as cyber warfare, global terrorism, hybrid conflicts, proxy wars, environmental conflicts and insurgent movements are closely interconnected with information wars. Questions of warfare have long gone beyond simple technological innovations and are rather a rethinking of the ways in which the actors involved interact. The leap in information technology leads to a modification of the means that information wars have. All this undoubtedly speaks to the importance of critically understanding the consequences of these new ways of conducting information wars, especially with regard to their ability to distort the global and political dynamics of the development of international relations.

Navigating the immunosuppressive brain tumor microenvironment using spatial biology

With the application of spatial biology, the detection and identification of the diverse cell types present in the tumor microenvironment, including specific immune subsets, is possible at single cell resolution. Since spatial biology analysis of tumor tissue allows multiple biological parameters to be measured, including cell type, cell number, cell state, as well as the precise location and the spatial relationship of every cell to other cells and histopathological hallmarks, a vast amount of data is generated. The power of this is realized when correlating the spatial biology data with clinical data for each patient, from which the tissue was collected during biopsy or surgery, conducted as part of the patient's diagnosis and treatment. Aside from the enormous leap in chemistry and molecular biology technology required to develop the analytical tools for spatial biology, collection, analysis of cells in the tumor microenvironment has been possible only with the development of computational tools capable of deciphering tumor tissue complexity to predict tumor evolution and response to treatment and the role of immune cells in regulating tumor biology. Here we describe how spatial biology analysis, combined with computational analysis have been used to deconstruct the complexity of the brain tumor microenvironment and shed light on why brain tumors exhibit extreme immunosuppression. We also discuss how the understanding gained using spatial biology has shed light on how tumor immunosuppression can be overcome.

Advanced Nanostructured Textile Catalysts for Enhanced Hydrogen Production in PEM Water Electrolysis: An Overview and Recent Developments

As the global focus shifts towards a zero-emission society, hydrogen has emerged as a critical element in various industries, particularly in green hydrogen production. A promising method for this is Polymer Electrolyte Membrane Water Electrolysis (PEMWE), which uses pure water and electricity to produce high-purity hydrogen. However, the efficiency of PEMWE is highly dependent on the effectiveness of its catalysts, particularly in the context of the catalyst-coated membranes (CCMs) employed in these systems. Conventional preparation of these CCMs involves multiple steps, including synthesis and application of a catalyst ink, which often leads to catalyst agglomeration and requires high Ir (Iridium) loadings to maintain uniformity and performance.In our latest study, we have developed a novel approach using ultralight conductive IrO2 nanostructured textiles (NST) as a catalyst layer for PEMWE. This innovative method successfully circumvents the issue of electrically isolated inactive catalysts, a common problem with lower Ir amounts in traditional catalyst layers. By employing a process of sputtering IrO2 onto water-soluble polymer nanofibers, we have achieved facile CCM preparation and demonstrated unprecedented long-term hydrogen evolution with ultra-low Ir mass loadings at high rates. Our study revealed that the high performance of these CCMs is derived from their low resistivity and unique porous three-dimensional structure.The preparation of NST involves dissolving polyvinylpyrrolidone (PVP) in methanol, followed by electrospinning this solution onto a metal-foil collector. The resulting PVP nanofibers then undergo a sputtering process to deposit IrO2, forming the nanostructured textiles. This method eliminates the need for wet chemical routes and labor-intensive processes typically associated with conventional catalyst layer preparations, thus offering a more environmentally friendly and scalable alternative.Our performance evaluations of these NST CCMs, with varying Ir mass loadings, have shown significant advancements. The operational cell voltages of CCMs containing as little as 0.05 mg-Ir cm−2 were suppressed across all investigated current densities compared to conventional CCMs. Notably, operational voltages remained below 2 V even at the highest current density of 7 A cm−2. This level of performance is unprecedented for CCMs with such low catalyst amounts. Additionally, the long-term stability of these CCMs was remarkable, with operational times exceeding 1500 hours without significant increases in voltage, showcasing their potential for practical applications.An essential aspect of our study was the analysis of the electrical properties and the surface structure of the IrO2 NSTs. We observed that the electrical conductivity of these textiles was significantly higher than that of conventional catalyst layers. This high conductivity, coupled with the unique interconnected structure of the textiles, ensures efficient electrical contact between nano catalysts and the current collector, thus avoiding the formation of isolated catalysts. Our analyses revealed that the IrO2 NSTs have unique surface terminations and a high number of undercoordinated surface Ir atoms, contributing to their high intrinsic catalytic activity.Further insights were gained through operando X-ray absorption spectroscopy (XAS) measurements, which showed that the IrO2-nanostructured textiles possess a large number of D-band holes and are intrinsically highly active. This finding is crucial as it links the unique chemical state of the textiles to their high activity in oxygen evolution reactions (OER), a key process in PEMWE.Our recent developments in nanostructured textile catalysts for PEMWE mark a significant leap in hydrogen production technology. By demonstrating high-rate hydrogen production at low operational voltages and with significantly lower Ir mass loadings compared to conventional CCMs, we have addressed major challenges in the field. These advancements not only enhance the efficiency and sustainability of hydrogen production but also open avenues for applying this technology to other electrochemical conversion cells, paving the way for broader applications and further research. In this talk, we discuss the latest activity on NST, and highlight the challenges and opportunities for hydrogen production.

Sizing and simulation of modular electric off-road vehicle using Scilab Xcos

Abstract As a sustainable transportation alternative, particularly in the realm of off-road vehicles, electric vehicles are rapidly gaining popularity. Despite the limitations that records have imposed including short-lived ranges and low speed as opposed to conventional vehicles, their eco-friendly nature and efficiency renders them to be appealing. The ongoing technological leaps in motor and battery technologies have improved the standing of long-distance electric vehicles, optimizing their performance by tailoring motors and batteries to suit specific regions and driving patterns. This study aims to size the motor and battery components of an off-road modular vehicle using Scilab Xcos, open-source software. The data obtained from the driving data accessed by driving the electric vehicle around 1 km of Dhulikhel is used as input for the simulation. The output of the simulation is used to understand the requirements of the motor and battery specifications. The motor was able to provide a maximum torque of 100 Nm and a nominal power of 10kW with peak power of 25 kW, while the battery was able to provide a battery power of 16kWh. The design went through theoretical validation and was compared against the established experimental data of the vehicle. Altogether, results affirm that the customized model aligns with the vehicle’s performance requirements by delivering adequate power, torque, and energy efficiency.

Multi-agent cloud based license plate recognition system

This paper presents a multi-agent license plate recognition system, specifically designed to address the diverse and challenging nature of license plates. Utilizing a multi-agent architecture with agents operating in individual Docker containers and orchestrated by Kubernetes, the system demonstrates remarkable adaptability and scalability. It leverages advanced neural networks, trained on a comprehensive dataset, to accurately identify various license plate types under dynamic conditions. The system’s efficacy is showcased through its three-layered approach, encompassing data collection, processing, and result compilation, significantly outperforming traditional license plate recognition (LPR) systems. This innovation not only marks a technological leap in license plate recognition but also offers strategic solutions for enhancing traffic management and smart city infrastructure globally.

Tracing the Evolution of Sound in Six Generations of the Chevrolet Corvette

This study presents the noise characteristics of six generations of the Chevrolet Corvette, an iconic American sports car that has undergone technological leaps and design innovations over the years, redefining performance and handling. The research conducted as part of an undergraduate noise control project is meant to study the auditory experiences of drivers, occupants, and pedestrians, considering the implications of improved cabin noise reduction in newer models while examining the changes surrounding powertrain and exhaust expectations in various generations of the model. Focusing on the evolution of sound pressure levels, the study analyzes both interior and exterior sound pressure level data to extract insights into the acoustic metamorphosis of the Corvette. This exploration enhances the understanding of the difference between sound and the Corvette driving experience. The research's significance extends to the community of Corvette enthusiasts, contributing to the historical narrative of this sports car and impacting automotive culture. Anticipation regarding the exterior experience for pedestrians aligns with sentiments about the powertrain and exhaust personality. The study concludes that stock Corvettes, even older models, do not significantly endanger hearing, mainly due to road noise. The interior sound at various speeds and accelerations can reach close to 90dBA periodically. Also, aftermarket exhaust systems hint at the possibility of extremely high sound pressure levels.

Technology Adoption for NGO Management: a Case Study of Atma Foundation

Mammoth leaps in technology in recent years have revolutionized industry like never before, leading to what is referred to as the 4th Industrial Revolution, or Industry 4.0. The digital transformation of the world has lent new scope to automation, collaboration and man-machine interfaces. According to Haleem et al. (2023)1, Management 4.0 increases efficiency and reduces human error in management processes, through the use of technological advancements like Artificial Intelligence, Virtual Reality, Internet of Things, Robotics etc. In this background, it is relevant to study how Non-Governmental Organisations are adapting, and how well they are poised to harness the possibilities of management 4.0. In India, new regulations by the Government have brought the onus on Non-Governmental Organisations to streamline their management especially with regard to financial transactions, compliance, monitoring etc. This increases the relevance of digital transformation for NGOs in India, and a study on its possibilities and challenges will help NGOs prepare a sustainable roadmap. This paper uses the single case study method to explore how the technological advancements of industry 4.0 are playing out for Non-Governmental Organisations. According to Gilgun, (1994)2 and Takahashi & Araujo, (2019)3 when it is required to do an intensive study of a phenomenon with the aim of understanding its various aspects and repercussions, a single case study method is a useful tool. The organisation chosen here as the ‘case’ is ATMA Foundation, a non-profit voluntary organisation with 17 years’ history, working on different verticals, and hence having a wide scope for adopting better management systems. The methodology used here consists of interviews, observation and review of organisational documents. A checklist of digital tools commonly used by NGOs was prepared, and it was found that ATMA Foundation already uses or is exploring the use of more than 75% of these. The leadership team also expressed their willingness to adopt new technology. The organisational processes were reviewed and a general framework of management needs was prepared. After consultation with experts in digital technologies, the researcher identified new tools which would greatly enhance the efficiency of the organisation. It was found that the organisation is currently making good use of many tools like MS office, cloud storage, emails, Zoom, Google meet, WhatsApp, Tally Prime, Systools and OneDrive. Some of the new and/or AI powered tools identified as suitable for this organisation include Zoho Creator, Zoho CRM, Zoho Projects, Workday, Big Data, MS Office with copilot, Open AI, Bing and Bard. Challenges identified include initial cost, upskilling of employees, realigning management processes and ethical issues. Solutions to overcome these barriers ranged from software donations and pro-bono consultations to conducting change management sessions for leaders and employees. The study concluded that even small NGOs had huge potential to harness technology for Management 4.0, and the challenges involved could be overcome with foresight and planning.

Computer Algebra Systems & Artificial Intelligence

From four-function calculators to calculators (or computers) with Computer Algebra System (CAS) software, Mathematics computing technology has advanced. With just a few button pushes, CASs can solve a wide range of mathematical problems, which is a true quantum leap in technology. The implications of having software in the classroom that can, for example, expand and factorize algebraic expressions, solve equations, differentiate functions, and find anti-derivatives are causing the mathematical community to engage in a heated debate about whether this is one of the most exciting or frightening developments in the history of education. It was only a matter of time before Artificial Intelligence entered the field of Science. This is now also the case with Mathematics, one of the dominant, perhaps the most basic, but also the most "difficult" of the sciences. The human mind, for better or for worse, has its limits. As we see in every manifestation of our lives, in this case, technology is being enlisted to help humanity take the next step, whether it has to do with automation and practical matters, or with knowledge and exploration. Creating a model that is understandable to humans is the primary objective of Artificial Intelligence. Additionally, concepts and methods from numerous mathematical fields can be used to prepare these models. In this paper, we will examine the use of AI in CASs and explore some ways to optimize them. The documentation sheets are the data source that we used to examine their characteristics. The research results reveal that there are many tips that we can follow to accelerate performance.

Innovative approach for mango allergen identification in processed foods using immunomagnetic nanoparticle-enhanced UPLC-MS/MS

Mango (Mangifera indica) is favored for its flavor and nutritional benefits, yet it also poses significant allergenic risks, potentially triggering severe anaphylactic reactions in sensitive individuals. Addressing the urgent need for accurate allergen detection, this study introduces a novel approach utilizing immunomagnetic nanoparticles (IMNPs) combined with ultraperformance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) to identify the 40-kDa major mango allergen in processed foods. By employing 100 nm IMNPs, the method effectively isolates and concentrates the allergens from complex food matrices, facilitating precise UPLC-MS/MS analysis. Demonstrating exceptional specificity, the technique accurately distinguishes mango allergens from those in nine other fruits and vegetables. It achieves low limits of detection (LODs) of 0.032 μg/mL in juice and 0.165 μg/g in cookies. When tested on 34 commercial products and compared with a real-time PCR method approved by the Taiwan FDA, the method validated its high specificity (100%) and sensitivity (92.9%), based on the ingredient labeling of these products. These advancements mark a significant leap in allergen detection technology, offering a sensitive, specific, and practical solution for identifying mango allergen residues in processed foods, thereby enhancing food safety protocols and protecting public health.

Removal of per- and polyfluoroalkyl substances (PFAS) from wastewater using the hydrodynamic cavitation on a chip concept

The elimination of micropollutants such as highly fluorinated substances, including per- and polyfluoroalkyl substances (PFAS), in wastewater treatment plants has been receiving growing attention due to the urgent need to minimize their adverse effects on natural water and associated ecosystems. Conventional treatment methods often fall short in effectively removing PFAS. In this study, the Hydrodynamic Cavitation on a Chip concept (HCOC) was utilized to degrade 11 common PFAS variants (PFAS11) for the first time in three different hydrodynamic cavitation reactor set-ups, each enhanced with surface modifications involving roughness elements. Stockholm municipal wastewater treated by a Membrane BioReactor (MBR) process was subjected to fully developed cavitating flow treatment using the three distinct microscale hydrodynamic cavitation (HC) reactors. The obtained results indicate that the chemical-free HCOC technique employed in this study has a significant potential in the degradation of nearly all investigated PFAS11 compounds at a notable rate of 36.1 % while the combination with MBR process can prevent blockage within the fluidic channels, enabling continuous operation with high throughput processing rates. Our proposed methodology demonstrated promising results in eliminating PFAS and could contribute to advancements in the use of microscale HC to treat micropollutants in wastewater. These findings could be a major leap in water treatment technologies addressing the global burden of resource-efficient micropollutant water treatment.