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Polymer dielectrics with excellent capacitive performance are urgently needed in advanced electrical and electronic systems. However, due to the dramatic increase in the conduction loss, the energy density and efficiency of polymers degrade severely at elevated temperatures, limiting their application in harsh environments up to 150 °C. Herein, an all-organic polyurea (PU)/polyetherimide (PEI) blend film is designed to prepare high-temperature polymer dielectric. It is found that carrier traps can be introduced by blending, and the hydrogen bond between PU and PEI increases the trap depth, leading to suppressed leakage current and enhanced breakdown strength, thus improving the energy storage performance. PU/30%PEI exhibits a high discharged energy density of ∼3.74 J/cm3 with an efficiency higher than 90% at 150 °C, which is 78% and 70% higher than pristine PU and PEI, respectively. This work provides a facile strategy to improve the energy storage performance of polymer dielectrics by introducing deep traps through blending. [ABSTRACT FROM AUTHOR]

In response to a community prediction challenge, we simulate the nonadiabatic dynamics of cyclobutanone using the mapping approach to surface hopping (MASH). We consider the first 500 fs of relaxation following photoexcitation to the S2 state and predict the corresponding time-resolved electron-diffraction signal that will be measured by the planned experiment. 397 ab initio trajectories were obtained on the fly with state-averaged complete active space self-consistent field using a (12,11) active space. To obtain an estimate of the potential systematic error, 198 of the trajectories were calculated using an aug-cc-pVDZ basis set and 199 with a 6-31+G* basis set. MASH is a recently proposed independent trajectory method for simulating nonadiabatic dynamics, originally derived for two-state problems. As there are three relevant electronic states in this system, we used a newly developed multi-state generalization of MASH for the simulation: the uncoupled spheres multi-state MASH method (unSMASH). This study, therefore, serves both as an investigation of the photodissociation dynamics of cyclobutanone, and also as a demonstration of the applicability of unSMASH to ab initio simulations. In line with previous experimental studies, we observe that the simulated dynamics is dominated by three sets of dissociation products, C3H6 + CO, C2H4 + C2H2O, and C2H4 + CH2 + CO, and we interpret our predicted electron-diffraction signal in terms of the key features of the associated dissociation pathways. [ABSTRACT FROM AUTHOR]

Standard approximations for the exchange–correlation functional in Kohn–Sham density functional theory (KS-DFT) typically lead to unacceptably large errors when applied to strongly correlated electronic systems. Partition-DFT (PDFT) is a formally exact reformulation of KS-DFT in which the ground-state density and energy of a system are obtained through self-consistent calculations on isolated fragments, with a partition energy representing inter-fragment interactions. Here, we show how typical errors of the local density approximation (LDA) in KS-DFT can be largely suppressed through a simple approximation, the multi-fragment overlap approximation (MFOA), for the partition energy in PDFT. Our method is illustrated on simple models of one-dimensional strongly correlated linear hydrogen chains. The MFOA, when used in combination with the LDA for the fragments, improves LDA dissociation curves of hydrogen chains and produces results that are comparable to those of spin-unrestricted LDA, but without breaking the spin symmetry. MFOA also induces a correction to the LDA electron density that partially captures the correct density dimerization in strongly correlated hydrogen chains. Moreover, with an additional correction to the partition energy that is specific to the one-dimensional LDA, the approximation is shown to produce dissociation energies in quantitative agreement with calculations based on the density matrix renormalization group method. [ABSTRACT FROM AUTHOR]

It has long been postulated that within density-functional theory (DFT), the total energy of a finite electronic system is convex with respect to electron count so that 2Ev[N0] ≤ Ev[N0 − 1] + Ev[N0 + 1]. Using the infinite-separation-limit technique, this Communication proves the convexity condition for any formulation of DFT that is (1) exact for all v-representable densities, (2) size-consistent, and (3) translationally invariant. An analogous result is also proven for one-body reduced density matrix functional theory. While there are known DFT formulations in which the ground state is not always accessible, indicating that convexity does not hold in such cases, this proof, nonetheless, confirms a stringent constraint on the exact exchange–correlation functional. We also provide sufficient conditions for convexity in approximate DFT, which could aid in the development of density-functional approximations. This result lifts a standing assumption in the proof of the piecewise linearity condition with respect to electron count, which has proven central to understanding the Kohn–Sham bandgap and the exchange–correlation derivative discontinuity of DFT. [ABSTRACT FROM AUTHOR]

For an electronic system, given a mean field method and a distribution of orbital occupation numbers that are close to the natural occupations of the correlated system, we provide formal evidence and computational support to the hypothesis that the entropy (or more precisely −σS, where σ is a parameter and S is the entropy) of such a distribution is a good approximation to the correlation energy. Underpinning the formal evidence are mild assumptions: the correlation energy is strictly a functional of the occupation numbers, and the occupation numbers derive from an invertible distribution. Computational support centers around employing different mean field methods and occupation number distributions (Fermi–Dirac, Gaussian, and linear), for which our claims are verified for a series of pilot calculations involving bond breaking and chemical reactions. This work establishes a formal footing for those methods employing entropy as a measure of electronic correlation energy (e.g., i-DMFT [Wang and Baerends, Phys. Rev. Lett. 128, 013001 (2022)] and TAO-DFT [J.-D. Chai, J. Chem. Phys. 136, 154104 (2012)]) and sets the stage for the widespread use of entropy functionals for approximating the (static) electronic correlation. [ABSTRACT FROM AUTHOR]

Edible electronics is emerging in recent years motivated by a diverse number of healthcare applications, where sensors can be safely ingested without the need for any medical supervision. However, the current lack of stable and well‐performing edible semiconductors needs to be addressed to reach technological maturity and allow the surge of a new generation of edible circuits. In the quest for good‐performing edible semiconductors, this study has explored the possibility of considering materials that are not regulated for intentional ingestion, yet are daily swallowed with no adverse reactions, such as pigments contained in toothpaste. This work first elaborates on the basis of inadvertent ingestion data to estimate the quantity of daily ingested Copper(II) Phthalocyanine (CuPc), a whitening pigment and well‐known organic semiconductor. Subsequently, CuPc is employed in the first demonstration of fully edible electrolyte‐gated transistors operating at low voltage (<1 V), displaying good reproducibility and stable performance for over a year. The results indicate that, with the daily ingested quantity of CuPc from toothpaste, more than 104 edible transistors can be realized, thus paving the way to edible circuits, a critical component of future edible electronic systems. [ABSTRACT FROM AUTHOR]

Covalent triazine frameworks (CTFs) are promising heterogeneous photocatalyst candidates owing to their excellent stability, conjugacy, and tunability. In this study, a series of CTFs decorated with different substituents (H, MeO, and F) were synthesised and utilised as photocatalysts for C−H activation reactions. The corresponding optoelectronic properties could be precisely regulated by the electronic effects of different substituents in the nanopore channels of the CTFs; these CTFs were effective photocatalysts for C−H activation in organic synthesis due to their unique structures and optoelectronic properties. Methoxy‐substituted CTF (MeO‐CTF) exhibited extraordinary catalytic performance and reusability in C−H functionalization by constructing an electronic donor‐acceptor system, achieving the highest yield in the photocatalytic C3–H hydroxylation of 2‐phenylimidazole[1,2‐α]pyridine. This strategy provides a new scaffold for the rational design of CTFs as efficient photocatalysts for organic synthesis. [ABSTRACT FROM AUTHOR]

Bimode temperature‐pressure sensors hold significant promise in personal health monitoring, wearables and robotic signal detection. Traditional bimode sensors typically combine two independent sensors, leading to fabrication complexity. This study develops a bimode temperature‐pressure sensor by using a facile electrodeposition method to create sandwiched BiSbTe/Carbon Paper/BiSbTe thin films and stacking them to a vertical structure. It demonstrates high sensitivity for temperature sensing, capable of detecting temperature difference as low as 1 K, and a rapid response time of 0.92 s due to a vertical structure. Utilizing its thermoelectric mechanism, the sensor achieves self‐powered sensing for finger touch and respiration states. Furthermore, its island‐like contact surface ensures high sensitivity with an extremely fast response time of 0.17 s, by rapidly changing contact resistance under pressure, allowing it to detect various human behaviors, including body movements and micro‐expressions. Beyond its sensing capabilities, the film excels in flexibility, electromagnetic interference shielding, and stability, presenting significant potential for integration into self‐powered electronic skin systems for health monitoring, wearables, artificial intelligence, and other electronic skin applications. [ABSTRACT FROM AUTHOR]

Due to the outstanding physical properties and the integrated characteristics, such as the gapless band structure, high state density, high conductivity, dangling‐bond‐free surface, and tunable Fermi level, two‐dimensional layered topological semimetals (2D LTSMs) exhibit a promising application prospect for including electrode contact and terahertz detection. Despite the surging in attention, a comprehensive strategy is still crucial to meet the necessary conditions for the practical application of 2D LTSMs. According to the fermion types and the band structures, 2D LTSMs can be divided into Dirac semimetals, Weyl semimetals, and nodal‐line semimetals. This review comprehensively encapsulates the intrinsic properties, typical synthesis methods, and applications in electronics and optoelectronics about these 2D LTSMs. To establish the fundamental theory, typical crystal structures, and physical properties of different 2D LTSMs are summarized at first. The effective synthesis strategies including exfoliation, molecular beam epitaxy, and vapor deposition are analyzed systematically. Finally, the article emphasizes the exploration of applications, significant challenges, and promising development directions of 2D LTSMs, which will drive 2D LTSMs to become the promisingly leading technology for next‐generation electronic and optoelectronic systems. [ABSTRACT FROM AUTHOR]

Copyright of Elektronik Industrie is the property of Hüthig GmbH and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The photovoltaic devices offer promising eco‐friendly solution for self‐powered flexible electronics. However, their fabrication on flexible substrate is not easy due to mismatches between the requirements of conventional microfabrication and the thermal, and mechanical features of the substrates. Herein, direct roll printed nanoscale photoactive electronic layers are presented, which are further processed to develop ≈315 µm2 sized miniaturized photovoltaic microcells. Using a set of 32 microcells, connected in parallel configuration, indoor light harvesting is shown at a maximum power density of ≈10 µW cm−2 under white LED illumination. Further, the dual functionality of developed microcells i.e., energy harvesting as well as wideband photodetection is demonstrated. As self‐powered photo sensors the developed photovoltaic microcells exhibit distinctive photo responses under white LED‐UV (365 nm)‐ NIR (850 nm) light illumination, with exceptionally high‐speed response (rise time τRise = 205 µs and fall time τFall = 2000 µs), and a peak responsivity of 2.48 A W−1 to UV light at zero bias voltage. The presented results show the potential usage of printed multifunctional photovoltaic microcells in a wide variety of applications such as self‐powered wearable and flexible electronic systems for health monitoring and indoor robotics. [ABSTRACT FROM AUTHOR]

Two-phase flow is widely used in the cooling system of electronic equipment, where the heat source is localized. However, two-phase flow may lead to flow instabilities, which have adverse effects on the system such as heat transfer deterioration and vibration. In this study, the effects of related variables on Ledinegg instability in single and parallel channels under localized heat source are investigated. Both models of single and parallel channels have been verified, and the maximum relative error is within ±5%. Based on these two models, the results indicate that the high heating power and low inlet subcooling promote Ledinegg instability, whereas Ledinegg instability is independent of the channel inclination. The average negative slope of continuous heat source, −0.09557, is smaller than that of the heat source close to inlet, −0.07408, which shows the improvement of localized heat source on Ledinegg instability. For the parallel system, when the flow excursion occurs, the total mass flow rate, which is 0.028 kg/s, is equal to two times of the mass flow rate of maximum value in branch pressure curve at which pressure is equal to 0.778 MPa, if two branches are identical. The current work provides qualitative conclusions on how Ledinegg instability will be affected with the change of relevant variables. [ABSTRACT FROM AUTHOR]

A single-dose dengue vaccine that protects individuals across a wide age range and regardless of dengue serostatus is an unmet need. We assessed the safety and efficacy of the live, attenuated, tetravalent Butantan-dengue vaccine (Butantan-DV) in adults, adolescents, and children. We previously reported the primary and secondary efficacy and safety endpoints in the initial 2 years of follow-up. Here we report the results through an extended follow-up period, with an average of 3·7 years of follow-up. In this double-blind, randomised, placebo-controlled, phase 3, multicentre trial in Brazil, healthy participants (aged 2–59 years) who had not previously received a dengue vaccine were enrolled and randomly assigned 2:1 (stratified by age 18–59 years, 7–17 years, and 2–6 years) using a central electronic randomisation system to receive 0·5 mL of Butantan-DV (containing approximately 103 plaque-forming units of each of the four vaccine virus strains) or placebo, administered subcutaneously. Syringes containing vaccine or placebo were prepared by an unmasked trial pharmacist who was not involved in any subsequent participant assessments; other site staff and the participants remained unaware of the group allocations. Vaccine efficacy was calculated with the accrual of virologically confirmed dengue (VCD) cases (by RT-PCR) at least 28 days after vaccination up until the cutoff (at least 2 years of follow-up from the last participant enrolled). The primary endpoint was vaccine efficacy against VCD after day 28 by any dengue virus (DENV) serotype regardless of dengue serostatus at baseline in the per-protocol population. The primary and secondary safety endpoints up until day 21 were previously reported; secondary safety endpoints include the frequency of unsolicited vaccine-related adverse events after day 22. Safety analyses were done on all participants as treated. This trial is registered with ClinicalTrials.gov (NCT02406729) and is ongoing. Of 16 363 participants assessed for eligibility, 16 235 were randomly assigned between Feb 22, 2016, and July 5, 2019, and received single-dose Butantan-DV (10 259 participants) or placebo (5976 participants). 16 162 participants (Butantan-DV n=10 215; placebo n=5947) were included in the per-protocol population and 16 235 (Butantan-DV n=10 259; placebo n=5976) in the safety population. At the data cutoff (July 13, 2021), participants had 2–5 years of follow-up (mean 3·7 years [SD 1·0], median 4·0 years [IQR 3·2–4·5]). 356 VCD cases were captured through the follow-up (128 in the vaccine group and 228 in the placebo group). Vaccine efficacy against VCD caused by any DENV serotype was 67·3% (95% CI 59·4–73·9); cases caused by DENV-3 or DENV-4 were not observed. The proportions of participants who had serious adverse events were similar between treatment groups (637 [6·2%] in the vaccine group and 395 [6·6%] in the placebo group) up until the cutoff. A single dose of Butantan-DV was generally well tolerated and efficacious against symptomatic VCD (caused by DENV-1 and DENV-2) for a mean of 3·7 years. These findings support the continued development of Butantan-DV to prevent dengue disease in children, adolescents, and adults regardless of dengue serostatus. Instituto Butantan and Merck Sharp & Dohme LLC, a subsidiary of Merck & Co. For the Spanish and Portuguese translations of the abstract see Supplementary Materials section. [ABSTRACT FROM AUTHOR]

Copyright of Scientia Iranica. Transaction D, Computer Science & Engineering & Electrical Engineering is the property of Scientia Iranica and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of ABI Technik is the property of De Gruyter and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

With the rapid development of science and technology, electronic devices are moving towards miniaturization and integration, which brings high heat dissipation requirements. During the heat dissipation process of a heating element, heat may spread to adjacent components, causing a decrease in the performance of the element. To avoid this situation, the ability to directionally transfer heat energy is urgently needed. Therefore, thermal interface materials (TIMs) with directional high thermal conductivity are more critical in thermal management system of electronic devices. For decades, many efforts have been devoted to the design and fabrication of TIMs with high-directional thermal conductivity. Benefiting from the advantage in feasibility, low-cost and scalability, compositing with thermal conductive fillers has been proved to be promising strategy for fabricating the high-directional thermal conductive TIMs. This review summarizes the present preparation technologies of polymer composites with high-directional thermal conductivity based on structural engineering of thermal conductive fillers, focusing on the manufacturing process, mechanisms, achievements, advantages and disadvantages of different technologies. Finally, we summarize the existing problems and potential challenges in the field of directional high thermal conductivity composites. [ABSTRACT FROM AUTHOR]

Goal. In this work, the performance of an integrated planar inductor with a square geometric shape using different materials for the substrate: Ni-Fe, Mn-Zn and Ni-Zn have been analyzed and investigated in order to assess the impact of the substrate material on the performance of the integrated planar inductor and to determine the optimal material in the various applications of power modules in power electronics. Methods. To this end, we carried out an in-depth analysis of the geometric dimensions of the integrated planar inductor, by calculating all the geometric parameters of the proposed structure, to establish an equivalent physical model of the integrated planar inductor in order to evaluate its different electrical specifications. The numerical simulation, based on the threedimensional mathematical model of the system using Maxwell’s equations, was realized by COMSOL Multiphysics software. Results show the importance of the substrate material for the performance of the integrated planar inductor, and specify that the use of Ni-Fe ferrite as a substrate of the integrated planar inductor gives very interesting performance compared to other materials studied. The presented results provide valuable information on the influence of substrate material on the performance of embedded integrated planar inductor and can help to design and optimize these components for use in power electronic systems. Practical value. These results are significant for a wide range of applications, where the integrated planar inductor performance and efficiency can have a significant impact on the overall performance and cost-effectiveness of the power electronic device. [ABSTRACT FROM AUTHOR]

Summary Prevention of ABO‐incompatible red cell transfusions (ABO‐it) requires accurate donor and patient identification and correct application of processes for transfusion safety. In France and Germany, a bedside identity check and ABO compatibility test are performed. In the UK, an identity check, often structured as a bedside checklist, is performed with or without electronic patient identification (ePID). To compare the efficacy of ABO‐it bedside preventive measures, frequencies and causes of ABO‐it between 2013 and 2022 were investigated in all three countries. Despite differing bedside safety measures, similar average ABO‐it frequencies were observed in France (0.19 [SD:0.09]/100 000 issued red cell units) and in the UK (0.28 [SD:0.17]/100 000), whereas a higher frequency (0.71 [SD:0.23]/100 000) was observed in Germany which has similar bedside safety measures to France. ABO‐it resulted mostly from erroneous patient identification and transfusion of a red cell unit intended for another patient. In France and Germany, all ABO‐it were associated with incorrectly performed identity check and ABO compatibility test. In the UK, most ABO‐it were associated with incorrectly performed identity checks. Current measures to prevent ABO‐it are not fully effective. Further development and implementation of effective patient identification systems, including electronic information systems, across the entire transfusion process, should be considered. [ABSTRACT FROM AUTHOR]

Integration of soft electronic system components is critical to create a closed‐loop system that seamlessly integrates sensing, driving, processing, and autonomous control capabilities. However, the existence of these components, particularly sensors and actuators, in isolated or discrete forms complicates the endeavor to achieve seamless interface matching and in situ integration, no more than the autonomic system. Here, an intelligent soft quasi‐organism (SQO) equipped with sensor‐driven integrated tentacles is demonstrated, featuring real‐time state recognition and autonomous object recognition inspired by the sea anemones. By employing a heterogeneous mechanisms homotopic integration (HMHI) strategy, the tentacles of the SQO possess the unique ability to simultaneously perceive state changes and flexibly drive motions, utilizing the same material and structure. The sea anemone‐shaped SQO exhibits real‐time autonomous state identification capabilities through the integration of machine learning and customized circuits, attaining 100% recognition accuracy across sixteen states. With a neuromuscular system that facilitates active autonomous perception, the anemone‐shaped SQO can recognize and intelligently grasp static objects with an accuracy of 80.7%, surpassing that of a human hand (74.7%). The SQO provides a promising approach for realizing artificial neuromuscular systems, with great potential for applications in crucial areas such as intelligent soft robotics and in vivo therapy. [ABSTRACT FROM AUTHOR]

The integrated "perception‐memory" system is receiving increasing attention due to its crucial applications in humanoid robots, as well as in the simulation of the human retina and brain. Here, a Field Programmable Gate Array (FPGA) platform‐boosted system that enables the sensing, recognition, and memory for human‐computer interaction is reported by the combination of ultra‐thin Ag/Al/Paster‐based electronic tattoos (AAP) and Tantalum Oxide/Indium Gallium Zinc Oxide (Ta2O5/IGZO)‐based memristors. Notably, the AAP demonstrates exceptional capabilities in accommodating the strain caused by skin deformation, thanks to its unique structural design, which ensures a secure fit to the skin and enables the prolonged monitoring of physiological signals. By utilizing Ta2O5/IGZO as the functional layer, a high switching ratio is conferred to the memristor, and an integrated system for sensing, distinguishing, storing, and controlling the machine hand of multiple human physiological signals is constructed together with the AAP. Further, the proposed system implements emergency calls and smart homes using facial electromyogram signals and utilizing logical entailment to realize the control of the music interface. This innovative "perception‐memory" integrated system not only serves the disabled, enhancing human‐computer interaction but also provides an alternative avenue to enhance the quality of life and autonomy of individuals with disabilities. [ABSTRACT FROM AUTHOR]

An all‐flexible self‐powering unit, combining a flexible perovskite solar mini‐module for energy conversion and ultra‐flexible screen‐printed interdigitated carbon supercapacitors on paper for energy storage, is designed and developed. Through a hybrid bifurcated structure, the supercapacitors are connected in series and neatly layered on a paper substrate with the perovskite solar mini‐module strategically placed on top for seamless integration. The photosupercapacitor quickly reaches saturated voltage under various light intensities (1 sun, 1000 lx, 500 lx, and 200 lx) and displays a self‐discharge time of over 2 minutes. It delivers peak overall and storage efficiencies of 2.8% and 23%, respectively, and exhibits an extensive potential window of 3.8 V, making it a prominent choice for real time applications in electronic systems. In a nutshell, the inherent flexibility of both the solar module and the storage system, coupled with the space‐saving design, and the extensive potential window of the hybrid photosupercapacitor paves the way for implementation in portable and wearable electronics operating in indoor environments, ushering a new era of more versatile and adaptable energy solutions. [ABSTRACT FROM AUTHOR]

Background: Physicians' choice of appropriate tests in the diagnostic process is crucial for patient safety. The increased use of medical imaging has raised concerns about its potential overuse. How appropriately medical students order diagnostic tests is unknown. We explored their ordering behavior of diagnostic imaging during a simulated first day of residency. Methods: In total, 492 undergraduate medical students participated in the simulation. After history taking with simulated patients, the students used an electronic system for requesting diagnostic tests. The analysis focused on 16 patient cases, each managed by at least 50 students. We calculated the total number of ordered images and unnecessary radiation exposure in millisievert per patient and performed one sample t-tests (one tailed) with an expected mean of zero on a Bonferroni-corrected alpha level of 0.003 for the independent variable of unnecessary radiation exposure. Results: Unnecessary diagnostic imaging was ordered across all patient cases. Ultrasound, especially abdominal ultrasound, X-rays of the thorax, and abdominal CTs were notably overused in 90.9%, 80.0%, and 69.2% of all patient cases, respectively. Unnecessary requests of imaging related to radiation resulted in radiation over-exposure for nearly all patients, with 37.5% of all patients being exposed to a significant radiation overdose on average. Conclusion: Medical students' overuse of diagnostic imaging can be explained by patient-related factors like anxiety and medical factors like missing clinical information leading to cognitive biases in patient workup. This suggests the need for interventions to improve students' clinical decision-making and reduce cognitive biases. Investigating student-specific factors being associated with overuse of diagnostic imaging would be of additional interest. [ABSTRACT FROM AUTHOR]

With the deepening of national efforts toward green energy transformation, the power system is evolving into one characterized by "double high"—a high proportion of new energy integration and a high level of power electronic systems. This results in a more complex system topology, necessitating improvements in various prevention and control measures. Traditional model-based methods for locating power oscillation disturbance sources in power systems are no longer sufficient to meet the operational demands of modern power systems. With the rapid development of wide-area measurement systems (WAMS), there is growing interest in disturbance source localization using system response data. System dynamics provide a wealth of easily extractable data that can accurately reflect the power system's behavior under normal conditions. This paper proposes a numerical method for locating disturbance sources, combining energy functions with normal distribution identification, based on power oscillation mechanisms and system response data. The method identifies potential disturbance sources, including small random load fluctuations and large forced power oscillations. The innovation lies in the introduction of a 3 Sigma value criterion to pinpoint the disturbance source location, addressing the limitations of traditional energy function methods that require manual intervention. By quantifying the localization of power oscillation disturbance sources, this method significantly improves both efficiency and accuracy. [ABSTRACT FROM AUTHOR]

The study of moiré superlattices has revealed intriguing phenomena in electronic systems, including unconventional superconductivity and ferromagnetism observed in magic-angle bilayer graphene. This approach has recently been adapted to the field of magnonics. In this Letter, we investigate the confinement of spin waves in a nanomagnonic waveguide integrated on top of a magnetic moiré superlattice. Our numerical analysis reveals a magnonic flatband at the center of the Brillouin zone, created by a 3.5° twist in the moiré superlattice. The flatband, characterized by a high magnon density of states and a zero group velocity, allows for the confinement of magnons within the AB stacking region. The flatband results from the mode anticrossing of several different magnon bands, covering a wavevector range of nearly 40 rad/μm and a 166 nm wide spatial distribution of the magnon trapping in the waveguide. Our results pave the way for nanomagnonic devices and circuits based on spin-wave trapping in magnon waveguides. [ABSTRACT FROM AUTHOR]

The intricate σ and π-bonding of N-heterocyclic carbenes (NHCs) to metals and the need to quantify their electronic properties to rationalize reactivity of complexes have resulted in the creation of numerous methodologies to understand the NHC–metal interaction which are, as we now show, flawed. Our search for a unified, easily accessible system to gauge these fundamental properties has resulted in the discovery of two systems that highlight the flaws present in existing systems and provide a more accurate measure of the NHC ligand electronic properties. [ABSTRACT FROM AUTHOR]

In the rapidly advancing field of 5G technology, efficient thermal management is essential for enhancing the performance and reliability of high-power-density integrated circuits (ICs). This paper introduces an innovative approach to cooling these critical components, significantly surpassing traditional methods. Our design optimizes heatsink and fan configurations through systematic experimentation, varying fin shapes, heatsink dimensions, and fan speeds. The results demonstrate that fan velocity is the most critical factor in reducing IC temperatures, as increased airflow dramatically lowers thermal output. Expanding the heatsink surface area further improves heat dissipation by enhancing airflow interaction, while a larger copper heatsink boosts thermal conduction, effectively reducing the final IC temperature. These optimizations streamline the cooling process, minimizing the need for more complex and expensive equipment. This research sets a new benchmark in thermal management, fostering the development of more efficient and reliable electronic systems in the era of advanced wireless communications. Our approach brings a new dimension to existing research by focusing on the optimization of heatsink and airflow designs specifically for ICs. While previous studies have explored broader thermal management strategies, our work addresses specific challenges in heat dissipation by refining geometric configurations and fan speed adjustments. These optimizations result in measurable improvements in both efficiency and scalability, particularly within the context of high-power 5G systems. [ABSTRACT FROM AUTHOR]

The sense of touch and perception of hand motion form an essential part of the somatic sensory system. Although piezoelectric sensors demonstrate high sensitivity and linearity, they are traditionally not employed for electronic skins because of their limited stretchability. Here, a printed, skin‐conformal, electronic system consisting of stretchable piezoelectric pressure sensors and carbon nanotube strain gauges capable of identifying tactile sensations and joint movements on the hand is introduced. The pressure sensor demonstrates both high sensitivity (19.9 mV kPa−1) and linearity (0.1–1000 kPa) while being reliably stretchable to above 15%. To complement the pressure sensing functionality, a strain gauge is fabricated in a rapid stamp printing process and designed to demonstrate excellent mechanical reliability with up to 70% strain and high sensitivity (36.5‐gauge factor). These sensors can seamlessly conform to numerous anatomical regions and cover wide areas of the skin, making them ideal for deployment in an electronic skin. Finally, the sensors are integrated with a flexible microelectronic device to demonstrate their functionality in human touch and prosthetic hand applications. [ABSTRACT FROM AUTHOR]

Diamond has superlative material properties for a broad range of quantum and electronic technologies. However, heteroepitaxial growth of single crystal diamond remains limited, impeding integration and evolution of diamond-based technologies. Here, we directly bond single-crystal diamond membranes to a wide variety of materials including silicon, fused silica, sapphire, thermal oxide, and lithium niobate. Our bonding process combines customized membrane synthesis, transfer, and dry surface functionalization, allowing for minimal contamination while providing pathways for near unity yield and scalability. We generate bonded crystalline membranes with thickness as low as 10 nm, sub-nm interfacial regions, and nanometer-scale thickness variability over 200 by 200 μm2 areas. We measure spin coherence times T2 for nitrogen vacancy centers in 150 nm-thick bonded membranes of up to 623 ± 21 μs, suitable for advanced quantum applications. We demonstrate multiple methods for integrating high quality factor nanophotonic cavities with the diamond heterostructures, highlighting the platform versatility in quantum photonic applications. Furthermore, we show that our ultra-thin diamond membranes are compatible with total internal reflection fluorescence (TIRF) microscopy, which enables interfacing coherent diamond quantum sensors with living cells while rejecting unwanted background luminescence. The processes demonstrated herein provide a full toolkit to synthesize heterogeneous diamond-based hybrid systems for quantum and electronic technologies. Development of diamond-based quantum and electronic technologies requires heterogeneous integration, which has remained challenging. This work realizes direct bonding of single crystal diamond membranes to a broad range of technology-relevant substrates while maintaining quantum coherence for hosted qubits. [ABSTRACT FROM AUTHOR]

Copyright of Elektronik Industrie is the property of Hüthig GmbH and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Highlights High‐integration microelectronic equipment cannot dissipate heat for long periods of time, which enormously damages the efficiency and service life of electronic devices. Developing polymer‐based composite film exhibiting admirable thermal conductivity (TC), mechanical, dielectric and insulation performances has been pursued by researchers. Polyimide (PI) materials are generally used in progressive electronic systems. In this research, we constructed unique thermally conductive fillers to improve the TC of PI composites. Specifically, boron nitride nanosheets (BNNS) and nanodiamond (ND) were modified to impart them different charging properties. The barnacle‐like hetero‐structured fillers (MBN@FND) were assembled by electrostatic self‐assembly, and then introduced into PI to prepare PI composites. MBN@FND‐2 (MBN/FND, 1/1, wt/wt) fillers exhibited optimal morphology. The results showed that MBN@FND formed tightly stacked structure in composites, availing the densification of the thermal network and improving the heat transfer efficiency. Under 25 wt% MBN@FND loading, the in‐plane TC of MBN@FND/PI composite was 9.73 W/mK, and the through‐plane TC was 0.72 W/mK. The MBN@FND/PI composite remained at a low level in terms of dielectric properties. Moreover, MBN@FND/PI composites had flexibility, good tensile strength (47.9 MPa), and volume resistivity of 1.05 × 1013 Ω cm. This work provides a versatile approach for the preparation of hybrid materials. Hetero‐structured fillers were prepared by electrostatic self‐assembly. The in‐plane TC and through‐plane TC of PI composite was improved. The composites had insulation, flexibility, and low dielectric properties. [ABSTRACT FROM AUTHOR]

In the realm of nano/microsatellite clustering, the demand for microthrusters is steadily growing. Solid propellant microthrusters, recognized for their lightweight build and structural simplicity, carry significant commercial promise. However, existing solid propellant microthrusters manufactured using MEMS technology encounter notable issues such as inconsistent thrust generation positions, limited thrust profiles, and issues related to productivity, scalability, and durability. In this study, we propose a novel shared-chamber solid-propellant microthruster design that consistently produces thrust at a designated position and accommodates multiple thrust modes. The components and fabrication of this thruster were developed using lab-on-printed-circuit-board (PCB) technology and PCB surface mount technology, showcasing enhanced structural stability, scalability, and potential for mass production. Our ignition and combustion experiments confirmed the repeatability of the unit operation, a fundamental feature of this innovative microthruster. Furthermore, we successfully implemented and evaluated the power mode for increased thrust and the continuous mode for prolonged operational duration. Integrating the lab-on-PCB-based shared-chamber solid propellant microthruster with propulsion and electronic control systems holds promising potential for future satellite missions. [ABSTRACT FROM AUTHOR]

Stroke has a negative impact on people's lives and is one of the leading causes of death and disability worldwide. Early detection of symptoms can significantly help predict stroke and promote a healthy lifestyle. Researchers have developed several methods to predict strokes using machine learning (ML) techniques. However, the proposed systems have suffered from the following two main problems. The first problem is that the machine learning models are biased due to the uneven distribution of classes in the dataset. Recent research has not adequately addressed this problem, and no preventive measures have been taken. Synthetic Minority Oversampling (SMOTE) has been used to remove bias and balance the training of the proposed ML model. The second problem is to solve the problem of lower classification accuracy of machine learning models. We proposed a learning system that combines an autoencoder with a linear discriminant analysis (LDA) model to increase the accuracy of the proposed ML model for stroke prediction. Relevant features are extracted from the feature space using the autoencoder, and the extracted subset is then fed into the LDA model for stroke classification. The hyperparameters of the LDA model are found using a grid search strategy. However, the conventional accuracy metric does not truly reflect the performance of ML models. Therefore, we employed several evaluation metrics to validate the efficiency of the proposed model. Consequently, we evaluated the proposed model's accuracy, sensitivity, specificity, area under the curve (AUC), and receiver operator characteristic (ROC). The experimental results show that the proposed model achieves a sensitivity and specificity of 98.51% and 97.56%, respectively, with an accuracy of 99.24% and a balanced accuracy of 98.00%. [ABSTRACT FROM AUTHOR]

As a power management chip widely used in various electronic systems, the low dropout regulator (LDO) plays a crucial role in the normal operation of electronic systems. Ionizing radiation and electromagnetic pulse (EMP) radiation can cause interference and damage to the LDO, posing risks to the proper functioning of electronic systems in large-scale scientific devices. In this study, through separate experimental investigations on the Total Ionizing Dose (TID) effects, EMP effects, and synergistic effect of the LDO, it was found that parameters such as the LDO output voltage decreases with increasing irradiation dose, with more severe degradation observed under grounded bias. The EMP effects mainly cause oscillations in the LDO output voltage and a slight increase in its mean value. The results of the synergistic effect experiments indicate that there is a certain synergistic interaction between the TID effects and the EMP effects. The synergistic effects lead to an increase in the amplitude of the oscillations and changes in the mean value of the output voltage. [ABSTRACT FROM AUTHOR]

Electronic monitoring systems (EMSs) have been widely used in global fishing vessels as an effective tool to obtain reliable information about catches and fishing operations in order to verify compliance with national and international regulations. Though EMS implementation in tuna vessels has not yet been made a mandatory requirement by tuna regional fisheries management organizations, many Chinese longliners have the system on board for traceability and safety purposes. Based on interviews with managers and skippers on Chinese tuna longliners, this paper firstly identifies the challenges in electronic monitoring management that have hindered fishermen's confidence to implement EMS at a larger scale. Then this paper proposes a work plan to facilitate EMS implementation from the perspective of Chinese tuna longliners, in which the adoption of EM standards, specifications, and procedures, and identification of EM data fields are the top priorities. To fully address concerns raised by tuna longliners, a cloud computing platform for EMS data storage, transmission, and review could help to protect data safety and confidentiality. Artificial intelligence technology is recommended to increase cost-efficiency in data review procedures, in addition to compliance incentives and financial incentives from policy makers. [ABSTRACT FROM AUTHOR]

Kidney diseases are a group of conditions related to the functioning of kidneys, which are in turn unable to properly filter waste and excessive fluids from the blood, resulting in the presence of dangerous levels of electrolytes, fluids, and waste substances in the human body, possibly leading to significant health effects. At the same time, the toxins amassing in the organism can lead to significant changes in breath composition, resulting in halitosis with peculiar features like the popular ammonia breath. Starting from this evidence, scientists have started to work on systems that can detect the presence of kidney diseases using a minimally invasive approach, minimizing the burden to the individuals, albeit providing clinicians with useful information about the disease's presence or its main related features. The electronic nose (e-nose) is one of such tools, and its applications in this specific domain represent the core of the present review, performed on articles published in the last 20 years on humans to stay updated with the latest technological advancements, and conducted under the PRISMA guidelines. This review focuses not only on the chemical and physical principles of detection of such compounds (mainly ammonia), but also on the most popular data processing approaches adopted by the research community (mainly those relying on Machine Learning), to draw exhaustive conclusions about the state of the art and to figure out possible cues for future developments in the field. [ABSTRACT FROM AUTHOR]

Nowadays, almost all electronic systems on printed circuit boards (PCB) adopt a vital element known as the power delivery network (PDN). However, the performance of the PDN is susceptible to variables such as the temperature and aging of its key constituents: the decoupling capacitors (decaps). Consequently, the long-term reliability of the PDN demands meticulous consideration to foresee how its performance can deviate from the initial design specifications. A realistic high-current server system is considered. It involves hundreds of decaps to achieve the required target impedance as optimally selected and laid out by the Power Integrity (PI) designer. The degradation of decap performance is analyzed by collecting experimental data from tens of decaps for each type used in the design while applying an accelerated aging process at different temperatures. The impact of aging in terms of the capacitance, parasitic inductance, and resistance of the decaps is considered to illustrate an innovative methodological design approach based on statistical analysis. Such a design approach can prevent the detrimental impact of a larger noise level due to the gradual performance degradation of the PDN over the intended life cycle of the system. [ABSTRACT FROM AUTHOR]

AbstractObjectiveDesignSetting and subjectsMain outcome measureResultsConclusionsTo evaluate the impact of a compulsory pop-up form on the ordering pattern of proBNP blood tests by general practitioners in the Capital Region of Denmark.A follow-up study comparing the average number of proBNP tests ordered before and after the implementation of an intervention.From 2016 to 2021, the average number of proBNP tests increased by over 300%. In March 2022, a compulsory pop-up form was introduced in the electronic request system (WebReq), requiring general practitioners to select one of three indications for ordering proBNP, as recommended by the Danish Society of Cardiology. The study included 528 general practitioners in the Capital Region of Denmark, with data available from January 2020 to 2023, encompassing 83,576 proBNP results from 56,645 patients.The average number of proBNP tests ordered per month and the median level of proBNP before and after the intervention.Following the intervention, the average number of proBNP tests per month decreased by 60% over a 22-month follow-up period. The highest reduction was seen among general practitioners who previously ordered the most tests (≥3 per 1000 biochemical tests). In this group, the median proBNP level increased from 12.1 pmol/L before the intervention to 13.5 pmol/L after the intervention (p < 0.0001).This study demonstrates a significant decrease in the number of proBNP requests from general practitioners in the Capital Region of Denmark after the introduction of a pop-up form in the requisition system containing the current guidelines. [ABSTRACT FROM AUTHOR]

This paper presents advanced workflows that combine 3D X-ray microscopy (XRM), nanoscale tomography, and deep learning (DL) to generate a detailed visualization of the interior of electronic devices and assemblies to enable the study of internal components for failure analysis (FA). Newly developed techniques, such as the integration of DL-based algorithms for 3D image reconstruction to improve scan quality through increased contrast and denoising, are also discussed in this article. In addition, a DL-based tool called DeepScout is presented. DeepScout uses 3D XRM scans in targeted regions of interest as training data for upscaling high-resolution in a low-resolution dataset, of a wider field of view, using a neural network model. Ultimately, these workflows can be run independently or complementary to other multiscale correlative microscopy evaluations, e.g., electron microscopy, and they will provide valuable insights into the inner workings of electronic packages and integrated circuits at multiple length scales, from macroscopic features on electronic devices (i.e., hundreds of mm) to microscopic details in electronic components (in the tens of nm). Understanding advanced electronic systems through X-ray imaging and machine learning—perhaps complemented with some additional correlative microscopy investigations—can speed development time, increase cost efficiency, and simplify FA and quality inspection of printed circuit boards (PCBs) and electronic devices assembled with new emerging technologies. [ABSTRACT FROM AUTHOR]

The use of the Regional Government Information System (SIPD) is increasingly important to optimize the performance of local governments, one of which is in regional financial management which is carried out electronically with the implementation of the Regional Financial Information System (SIKD). The success of the implementation of SIPD-SIKD does not only depend on the technical aspect, but also on the level of acceptance and user satisfaction with the benefits of the information system, as measured by the level of user satisfaction and the intensity of using the system. This study aims to analyze the factors that affect user satisfaction with the benefits of information systems. This study integrates the UTAUT and Delone-McLean models, both models describe the relationship between variables and take into account user behavior when using information systems, as well as measure the success of information systems through user satisfaction. This study uses a quantitative approach with data collection techniques using questionnaires distributed online as many as 350 respondents. The analysis technique in this study uses SEM-PLS using SmartPLS software. Based on the results of data processing, it shows that performance expectations, business expectations, facilitation conditions, information quality, and system quality have an influence on user satisfaction. Furthermore, user satisfaction affects the benefits of information systems both at the individual and organizational levels. [ABSTRACT FROM AUTHOR]

This article centers around the development and analysis of machine learning (ML) and deep learning models aimed at enhancing diabetes diagnosis. In the swiftly evolving landscape of data technologies, it becomes crucial to explore the applications of these methods for accurate predictions and improved medical decision-making. Our research encompasses diverse datasets, leveraging state-of-the-art algorithms and technologies for model training and testing. The primary emphasis lies in evaluating the accuracy, sensitivity, and specificity of models within the realm of diabetes diagnosis. The study results reveal significant advancements in disease prediction, underscoring the potential of ML and deep learning in medical applications. This work introduces fresh perspectives on the utilization of computational methods in healthcare and serves as a foundation for prospective research in this domain. [ABSTRACT FROM AUTHOR]

One of the fundamental rights in the modern democracy is voting. Much research has been done to strengthen the voting process and security. The new and safe Neural-Based Secured Decentralised E-Voting Framework employing Blur Image Broadcasting tackles the major issues with standard electronic voting techniques. Neural networks with blurred image broadcasting protected voter confidentiality, ballot integrity, & system security. Therefore, a novel Zebra-based GoogleNet Elliptic Curve (ZbGEC) is provided to upgrade the decentralized e-voting via blur image broadcasting in this study. It authenticates and broadcasts the voter's information safely to the blockchain technology. It additionally demonstrates time consumption, memory usage, and design cost. Only authorized users can view and alter encrypted and decrypted votes via neural networks. This encryption protects voter anonymity and ballot manipulation. Furthermore, blur image streaming obscures voter ballot selections, improving voter privacy. The decentralized design spreads voting over numerous nodes; removing the centralized Spread structure strengthens the system against manipulation and cyber-attacks. Notably, decentralized e-voting time consumption and response time were minimized to an efficient 2 seconds and 5 seconds. The proposed system's design cost was economical at $30, while memory usage was optimized to 300 MB, representing a significant improvement over traditional methods. Neural-based security, decentralized structures, and blurred image streaming produce a reliable e-voting system. This architecture improves security, privacy, openness, and scalability over electronic voting systems. The Neural-Based Secured Decentralised EVoting Framework utilizing Blur Image Broadcasting might make voting safer, more transparent, and inclusive. [ABSTRACT FROM AUTHOR]

In this article, we propose a novel natural light detector based on high-performance silicon nanowire (SiNW) arrays. We achieved a highly controllable and low-cost fabrication of SiNW natural light detectors by using only a conventional micromachined CMOS process. The high activity of SiNWs leads to the poor long-term stability of the SiNW device, and for this reason, we have designed a fully wrapped structure for SiNWs. SiNWs are wrapped in transparent silicon nitride and silicon oxide films, which greatly improves the long-term stability of the detector; at the same time, this structure protects the SiNWs from breakage. In addition, the SiNW arrays are regularly distributed on the top of the detector, which can quickly respond to natural light. The response time of the detector is about 0.015 s. Under the illumination of 1 W·m−2 light intensity, multiple SiNWs were detected together. The signal strength of the detector reached 1.82 μA, the signal-to-noise ratio was 47.6 dB, and the power consumption was only 0.91 μW. The high-intensity and highly reliable initial signal reduces the cost and complexity of the backend signal processing circuit. A low-cost and high-performance STM32 microcontroller can realize the signal processing task. Therefore, we built a high-performance SiNW natural optoelectronic detection system based on an STM32 microcontroller, which achieved the real-time detection of natural light intensity, with an accuracy of ±0.1 W·m−2. These excellent test performances indicate that the SiNW array natural light detector in this article meey the requirements of practicality and has broad potential for application. [ABSTRACT FROM AUTHOR]

The increasing complexity of the PRESENT algorithm necessitates a fast modeling and simulation security environment, which is achieved using the SystemC language at the Electronic System Level (ESL), enhancing the speed of cryptographic models. This allows efficient verification of the security properties and performance of the PRESENT algorithm, ensuring robustness against potential attacks. Additionally, the use of SystemC in ESL facilitates easier integration with other hardware components for a more comprehensive security analysis. However, including SystemC in security simulations necessitates modifying the existing code, hence increasing the complexity of the modeling process. Without requiring any code modifications, Aspect Oriented Programming (AOP) can be used for security simulation and cryptographic modeling. This study presents a novel PRESENT SystemC model that incorporates the AOP approach. The model is evaluated in a functional verification environment. The model is constructed using AspectC++ as an AOP language. The simulation results indicate that the effectiveness of the model and the incorporation of the AOP method have negligible effects on the simulation duration or the size of the executable file. The model architecture is based on interlacing all the components. [ABSTRACT FROM AUTHOR]

Cybersecurity requires practical knowledge related to protecting electronic information systems and, more importantly, hands-on skill sets for students. To prepare cybersecurity students for effective workforce contributions, experiential practice in a modern, secure environment is essential. An ideal and cost-effective way to provide this environment for both institutions with funding limitations and students with starved resources is to establish a live virtual isolated lab environment that acts as a sandbox for performing cybersecurity-related exercises, including ethical hacking, penetration testing, offensive and defensive security, information risk assessment and management, and malware analysis. This teaching exercise provides suggestions and resources, including free training by reputable cybersecurity companies offering services to the broader industry community, as excellent options to include in student coursework. Additionally, this teaching exercise offers three lessons and a full learning module to include in a variety of introductory cyberforensics, information systems, and other related disciplines to both provide hands-on learning and engage students pursuing a major in cyber studies. [ABSTRACT FROM AUTHOR]

With the recent growth of electrical and electronic systems such as electric vehicles, the demand for automatic cable routing for electrical wiring design is increasing. However, real industry use cases of automatic cable routing are still rare especially in three-dimensional design. In this study, we propose a new pathfinding algorithm, JPS–Theta*, which combines the existing pathfinding algorithms, Jump Point Search and Theta*, that is better suited for cable routing. In addition, we propose a B-spline optimization algorithm to create natural cable shapes while avoiding collisions. In the experiments, it was found that the proposed pathfinding algorithm complements the existing algorithms and is thought to be more suitable for the purpose of automatic cable routing. Additionally, ant colony optimization for continuous domains, a meta-heuristic algorithm, was successfully used for optimizing the B-spline to obtain cable shapes without collision. Lastly, as a case study, the proposed method was directly applied to the electrical panel design to show its effectiveness. We expect that the proposed method will be able to improve the efficiency and quality of electrical wiring design. [ABSTRACT FROM AUTHOR]

Copyright of Ido Movement for Culture. Journal of Martial Arts Anthropology is the property of Idokan Poland Association and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Background: Electronic prescribing (e-prescribing) is an essential technology in the modern health system. This technology has made many changes in the prescription process, which have advantages and disadvantages and have created opportunities for transforming the health system. This study aimed to investigate the strengths, weaknesses, opportunities, and threats of the e-prescribing system implemented in Iran from the physician's viewpoint. Methods: This phenomenological qualitative study was conducted in 2022. The participants were 15 Iranian specialist physicians working at Urmia University of Medical Sciences, selected purposively and deliberately. Data was collected through in-depth semi-structured interviews using an interview guide comprising 16 questions. Interviews were conducted until data saturation was reached. The audio data was transcribed into text and analyzed using the thematic analysis. To ensure the validity and reliability of the findings, the criteria introduced by Lincoln and Guba were employed. Results: The results of this study showed that the e-prescribing system executed in Iran has diverse and multidimensional strengths, weaknesses, opportunities, and threats. In the strengths section, the analysis of the interviews led to the extraction of semantic units in the categories of prescription process, prescriber, patient, technical, economic, communication, and insurance. Also, the weaknesses in the three categories of the prescriber, patient, and technical were debatable. The opportunities extracted from the narratives of the interviewees were placed in four categories including technical, national macro policies, Ministry of Health macro-policies, and socio-cultural issues. Finally, the discussed threats are classified into two technical and macro policies of the Ministry of Health categories. On the other hand, technical issues played an effective role in all aspects of the SWOT model. Conclusion: The e-prescribing system in Iran has strengths, weaknesses, opportunities, and threats. An overarching factor across all aspects of the SWOT model was technical infrastructure. A robust technical infrastructure is considered a strength and an opportunity for the growth of the electronic prescribing system in Iran. Conversely, any shortcomings in these systems are viewed as weaknesses and pose a threat to the system's sustainability. [ABSTRACT FROM AUTHOR]

The multifaceted, multivendor-based global design supply chain induces hardware threats of intellectual property (IP) piracy for modern computing and electronic systems. Current hardware watermarking techniques fall short either in terms of watermark strength (size of covert constraints generated) or number of security layers/variables involved in the security constraints generation process. This paper presents a novel approach for high level synthesis (HLS) watermarking by bio-mimicking DNA fingerprint profiling to counter hardware IP piracy. The proposed approach effectively captures the vital DNA fingerprint profiling phases such as DNA sequencing, DNA fragmentation, fragment replication, DNA ligase, etc. and bio-mimics them to generate a digital watermarking framework. The presented approach has been demonstrated on convolutional layer and JPEG compression-decompression (CODEC) algorithms that are widely used in several medical and machine learning applications. The proposed approach has been thoroughly compared with several state-of-the-art approaches. The proposed approach depicts superior security in the probability of coincidence of up to ~ 104 and tamper tolerance of up to ~ 10368 at 0% overhead as compared to the prior approaches. [ABSTRACT FROM AUTHOR]

Herein, a novel enhancement-mode (E-mode) GaN-based p-channel FETs (p-FETs) with a linearly graded AlGaN (LGA) p-channel is proposed and numerically studied by Silvaco TCAD. Thanks to strong polarization-induced doping, three-dimensional hole gas (3DHG) can be uniformly generated in LGA to form a continuous p-channel with a hole concentration over 1018 cm–3. Combined with an optimized recessed gate structure, the LGA p-FET can simultaneously achieve a large threshold voltage (| V TH|) > 2 V and a high current density (| J DS|) of ∼10 mA mm−1 at V DS = −10 V. Additionally, two critical parameters of the LGA p-FETs, i.e. the depth of recessed gate and initial Al composition of LGA, are specifically studied to reveal the unique carrier behavior of 3DHG in the devices. Importantly, the LGA structure is further optimized and implemented as the p-type cap layer to construct an E-mode GaN n-FET. Thereby, based on the same LGA configuration, a GaN-based inverter with the matched complementary n- and p-FETs is monolithically constructed, showing sharp voltage transition. The reported novel LGA structure and its availability in both GaN-based E-mode n- and p-FETs provides valuable insights and guidance to construct highly efficient GaN p-type devices and All-GaN-based integrated circuits for compact power electronic systems. [ABSTRACT FROM AUTHOR]

This work presents a comprehensive review on radiation hardening techniques aimed at enhancing the resilience of VLSI circuits against soft errors. The study covers a wide approaches for both technological and design-based strategies. Process hardening, shielding, guard rings, silicon on insulator, enclosed layout transistor, masking and transistor sizing are explored to mitigate the impact of radiation-induced errors on VLSI circuit behavior. Furthermore, the paper delves into more advanced methodologies, including TMR, error correction codes, logic duplication, and the integration of guard cells. These techniques offer varying levels of protection against soft errors. The review critically examines the strengths, limitations, and trade-offs associated with each approach, highlighting their suitability for radiation environments. The primary objective of this research is to provide a comprehensive overview of the radiation hardening techniques, which facilitate to understand principles of practical implementations. This review work offers value for VLSI circuit designers and researchers who intend to make electronic systems more reliable in the presence of radiation-induced soft errors with technological and design-oriented approaches. To highlight understanding, we have ended most of the sections and subsections with questions. These questions can help researchers explore related research directions. [ABSTRACT FROM AUTHOR]