Technology Scaling Research Articles

Design of polarity hardening SRAM for mitigating single event multiple node upsets

With technology scaling down, the charge sharing among multiple nodes has becoming significant, making Single Event Multiple Node Upsets (SEMNUs) has become one of the major concern in memory cell designs. In this paper, a design of polarity hardening memory cell (PH_14T) is proposed for mitigating Single Event Multiple Node Upsets (SEMNUs). Through the 3D TCAD mixed-mode simulation established that the high robustness against SEU and SEMNUs of the PH_14T cell. Additionally, Cadence Spectre simulation results demonstrated that the proposed PH_14T cell has smaller write access time, lower power consumption, and highest critical charge compared to radiation-hardened cells. Monte Carlo simulation further confirmed the high radiation tolerance and high reliability of the proposed cell against SNU and DNU.

Research on carbon dioxide capture materials used for carbon dioxide capture, utilization, and storage technology: a review.

In recent years, climate change has increasingly become one of the major challenges facing mankind today, seriously threatening the survival and sustainable development of mankind. Dramatically increasing carbon dioxide concentrations are thought to cause a severe greenhouse effect, leading to severe and sustained global warming, associated climate instability and unwelcome natural disasters, melting glaciers and extreme weather patterns. The treatment of flue gas from thermal power plants uses carbon capture, utilization, and storage (CCUS) technology, one of the most promising current methods to accomplish significant CO2 emission reduction. In order to implement the technological and financial system of CO2 capture, which is the key technology of CCUS technology and accounts for 70-80% of the overall cost of CCUS technology, it is crucial to create more effective adsorbents. Nowadays, with the development and application of various carbon dioxide capture materials, it is necessary to review and summarize carbon dioxide capture materials in time. In this paper, the main technologies of CO2 capture are reviewed, with emphasis on the latest research status of CO2 capture materials, such as amines, zeolites, alkali metals, as well as emerging MOFs and carbon nanomaterials. More and more research on CO2 capture materials has used a variety of improved methods, which have achieved high CO2 capture performance. For example, doping of layered double hydroxides (LDH) with metal atoms significantly increases the active site on the surface of the material, which has a significant impact on improving the CO2 capture capacity and performance stability of LDH. Although many carbon capture materials have been developed, high cost and low technology scale remain major obstacles to CO2 capture. Future research should focus on designing low-cost, high-availability carbon capture materials.

Living emission abolish filters (LEAFs) for methane mitigation: design and operation

As one of the most potent greenhouse gases, methane is a critical target for the near-term mitigation of global warming. Efficient, scalable, easy-to-implement, and robust mitigation technologies are urgently needed to assist in reaching methane abolishment. The goal of this research was to test the applicability of active, extremophilic methanotrophic cells as a baseline concept for engineered systems aiming at methane capturing. The system, named living emission abolish filters (LEAFs), represents an array of immobilized biomaterials capable of capturing methane directly from vent streams. The biomaterials were made using cells of Methylotuvimicrobium alcaliphilum 20ZR, a robust halophilic methanotrophic bacterium with the ability to consume methane gas at low concentrations. Several critical parameters were tested, including (i) the composition of the matrix and optimal immobilization to increase catalyst load, (ii) the stability of methanotrophic cells, and (iii) the toxicity of trace gases (i.e. CO). We found that hydrogels coated with 2.3 mg cell dry weight/cm3 methanotrophic cells represent the best-performing biomaterials. The methane reduction potential of LEAFs fluctuated from 20% to 95% and depended on the methane concentration in the gas stream and the stream flow rates. The potential for commercial-scale deployment and emissions reductions was also evaluated. Total greenhouse gas emissions (combined using the global warming potential GWP100) from an example using a ventilation air methane source over a one-year period was shown to be reduced in two LEAF scenarios by 51% and 75%. Over longer time horizons, more significant reductions are possible as consistent methane consumption can be sustained. The study highlights the overall potential of the liquid-free bio-based composite methane mitigation system. Further improvements essential for system assembly and implementations should include (a) optimization of the cell immobilization protocols to improve cell load and the shelf-life of the system and (b) implementation of matrix moldings for cell immobilization to achieve optimal gas flow and increase the cell-gas interface.

Enzyme encapsulation in metal-organic frameworks using spray drying for enhanced stability and controlled release: A case study of phytase

Encapsulating enzymes in metal-organic frameworks is a common practice to improve enzyme stability against harsh conditions. However, the synthesis of enzyme@MOFs has been primarily limited to small-scale laboratory settings, hampering their industrial applications. Spray drying is a scalable and cost-effective technology, which has been frequently used in industry for large-scale productions. Despite these advantages, its potential for encapsulating enzymes in MOFs remains largely unexplored, due to challenges such as nozzle clogging from MOF particle formation, utilization of toxic organic solvents, controlled release of encapsulated enzymes, and high temperatures that could compromise enzyme activity. Herein, we present a novel approach for preparing phytase@MIL-88 A using solvent-free spray drying. This involves atomizing two MOF precursor solutions separately using a three-fluid nozzle, with enzyme release controlled by manipulating defects within the MOFs. The physicochemical properties of the spray dried particles are characterized using X-ray diffraction, Fourier-transform infrared spectroscopy, and scanning electron microscopy. Leveraging the efficiency and scalability of spray drying in industrial production, this scalable encapsulation technique holds considerable promise for broad industrial applications.

Bioinspired melt-blown fiber felt with flame retardancy for efficient oil spill remediation by solar-driven oil evaporation and adsorption

Confronted with rapid-spread river oil leaks and marine oil spills containing toxic and light fractions, conventional emergency response measures often fall short. This study proposes a solar-driven oil evaporation and adsorption (SOEA) strategy that efficiently addresses the challenges posed by toxic and light oils in rivers and oceans. Inspired by the self-protection and anti-fouling effects of fish scales, a photothermal oil-adsorbing felt with a biomimetic scale structure for efficient SEOA is constructed by decorating functional components onto the melt-blown fiber felt using scalable spraying technology. The rational integration of a dual-layer scale structure and functional constituents imparts stable superhydrophobicity, self-cleaning, flame retardancy, enhanced mechanical strength, and a higher oil adsorption capacity. Benefiting from the superior photothermal conversion, the solar-vapor conversion efficiency of the resulting P-EG/MXene@PP reaches 85.6 % under 1 sunlight, with an evaporation rate for light oil of 13.17 kg/m2/h, 8 times higher than natural volatilization. For crude oil floating on water, it achieves a 98 % oil removal efficiency in 6 h, with 41 wt% of the light fraction evaporated. This research provides distinctive insights into solar-driven oil spill remediation behavior and pioneers the SOEA strategy, offering rapid, efficient, and safe solutions for intricate oil spill scenarios.

The Influencing Factor of Big Data Adoption for Indonesia Open Government

The development of digital technology in the industrial revolution 4.0 has made all aspects change, including in the field of government. This is a pressure and challenge for public organizations, as well as an opportunity to reform and adapt through Open Government. Open Government is the starting point of the Big Data era along with the Open Data process as a direct implication of openness in government. Big Data is one of the main elements of Open Government required to be adopted in government business processes. Therefore, the readiness of public organizations in adoption is an important thing to be followed up. This study aims to deliver a literature review the influencing factor of organizations readiness for Big Data adoption with the TOE (Technology, Organization, and Environment) conceptual framework. From the literature review, it is known that for the context of technology, several factors, including advantage, compatibility, complexity, scalability, and information security technology infrastructure influence the readiness in Big Data adoption. From the organizational context, the top management support, financial, human resources are also concluded to have a positive influence. Finally, from the environment point of view, the availability of laws and regulations and the focus on public services are external support systems for Big Data adoption.

Magnetic Harvesting and Degradation of Microplastics using Iron Oxide Nanoflowers prepared by a Scaled-up Procedure

Addressing the ecological risks and human health threats posed by emerging contaminants requires the development of reproducible and scalable materials and technologies. In this context, the performance of multicore flower-shaped nanoparticles (NFs) with approximately 40 nm diameters was assessed for extracting and degrading polyethylene microplastics from cosmetics in water samples. These NFs, exhibiting cooperative magnetic behavior and high magnetic moment per particle, were scaled to grams of product in a larger reactor (1 L), yielding a 91 % mean reproducibility for structural, colloidal and magnetic properties. The NFs were directly attached to microplastic surfaces via ultrasonic treatment and separated using a permanent magnet, demonstrating removal capacities of up to 1000 mgMP/gNF under optimal conditions (pH 7, 10 mg NFs, 30 min, field strength 320 kA/m). Subsequently, microplastics in aqueous suspensions were hydrolyzed at 150 °C followed by mineralization through a Fenton-like reaction catalyzed by the NFs where reactive oxygen species produced, in the presence of H2O2, break the organic molecules. Mineralization yields ranged from 20 % to 75 % at 25 and 90 °C, respectively, with a further increase to 78 % achieved under an alternating magnetic field (60 mT, 100 kHz), obviating the need for high temperatures. These results highlight the potential of NFs and associated technologies in effectively addressing the challenges associated with emerging contaminants, offering promising avenues for environmental remediation and human health protection.

A comprehensive review of flue gas bio-mitigation: chemolithotrophic interactions with flue gas in bio-reactors as a sustainable possibility for technological advancements.

Flue gas mitigation technologies aim to reduce the environmental impact of flue gas emissions, particularly from industrial processes and power plants. One approach to mitigate flue gas emissions involves bio-mitigation, which utilizes microorganisms to convert harmful gases into less harmful or inert substances. The review thus explores the bio-mitigation efficiency of chemolithotrophic interactions with flue gas and their potential application in bio-reactors. Chemolithotrophs are microorganisms that can derive energy from inorganic compounds, such as carbon dioxide (CO2), nitrogen oxides (NOx), and sulfur dioxide (SO2), present in the flue gas. These microorganisms utilize specialized enzymatic pathways to oxidize these compounds and produce energy. By harnessing the metabolic capabilities of chemolithotrophs, flue gas emissions can be transformed into value-added products. Bio-reactors provide controlled environments for the growth and activity of chemolithotrophic microorganisms. Depending on the specific application, these can be designed as suspended or immobilized reactor systems. The choice of bio-reactor configuration depends on process efficiency, scalability, and ease of operation. Factors influencing the bio-mitigation efficiency of chemolithotrophic interactions include the concentration and composition of the flue gas, operating conditions (such as temperature, pH, and nutrient availability), and reactor design. Chemolithotrophic interactions with flue gas in bio-reactors offer a potentially efficient approach to mitigating flue gas emissions. Continued research and development in this field are necessary to optimize reactor design, microbial consortia, and operating conditions. Advances in understanding the metabolism and physiology of chemolithotrophic microorganisms will contribute to developing robust and scalable bio-mitigation technologies for flue gas emissions.

Research on the innovation efficiency evaluation of Unicorn Enterprises in Anhui Province based on the three-stage DEA model

Unicorns, as unlisted start-ups valued at more than $1 billion, have a significant impact on economic development and industry innovation. However, they also face problems such as unclear innovation paths and rigid business models, which can lead to lower user satisfaction and lower market value. The article begins with determining the importance of unicorns in the global economy, and points out that the efficiency of technological innovation transformation is the key to measuring their success. Then, the innovation efficiency of unicorn enterprises is evaluated through the three-stage DEA model, and 11 A-share unicorn concept listed companies in Anhui province are empiranalyzed. The research results show that different enterprises differ in the efficiency of scientific and technological innovation, and some enterprises such as COWA ROBOT and INNOTRON MEMORY performing well in pure technical efficiency and scale efficiency. Other companies need to further improve in technology application and scale management. In addition, the research also put forward countermeasures and suggestions such as promoting regional linkage and innovation resource sharing, optimizing government support policies and building an efficient scientific and technological innovation service system, so as to improve the transformation efficiency of scientific and technological innovation achievements of unicorn enterprises.

“A delivery vehicle for change and democracy”: Exploring care and scale in digital engagement

The Special Issue defines ‘housing disruptors’ as the emerging ideologies, practices, and logics capable of changing the housing system. In this paper, I argue digital engagement technologies were a housing disruptor for combining an ethic of care and technological scale in order to reimagine planning democracy and ultimately the delivery of equitable housing. First, I outline the care ethics of digital engagement and connect it to a lineage of planning theory that values deliberative participation and agonistic urban politics. I then interrogate the meaning of scale in digital engagement and how it contributes to urban democracy and justice issues. However, the structural limitations that practitioners faced in practice put into question how possible it was to apply a scale logic from the technological and business world, which sought to streamline and grow, to a planning system (that is complex) and solutions to the housing crisis (even more complex). My concluding remarks suggest that digital engagement was symbolic for the changing value principles in planning, as one that was committed to a fairer and more equitable planning system; but how successful it was (or has been) able to provide an alternative planning structure remains uncertain.

Technological Innovation and The Scale of User Base of High-Tech Enterprises: The Moderating Effect of The of Ownership

Based on the data of listed companies in Shanghai and Shenzhen A-share electronic information technology industry from 2015 to 2020, this paper investigates the effect mechanism and difference of two types of technological innovation modes (progressive technological innovation and abrupt technological innovation) on user scale of high-tech enterprises with different ownership nature. The results show that there is a positive linear relationship between incremental and abrupt technological innovation and user scale, and the abrupt technological innovation plays a greater role in promoting user scale growth than the gradual technological innovation. The relationship between technological innovation and user scale is significantly adjusted by the nature of enterprise ownership, and the gradual technological innovation is suitable for state-owned enterprises to increase user scale, while the abrupt technological innovation is suitable for non-state-owned enterprises to increase user scale.

Design of Global RLC Interconnect Circuit with Analytical Delay Model

Background: With the advancement in technology nodes and scaling trends, the majority of the device performance depends upon the interconnections made between two or more devices. With these scaling trends, frequency plays a vital role. As the technology decreases, frequency tends to rise to giga-hertz. This increase in frequency gives rise to inductance parameters in the interconnect circuits. For long wires, the inductive impedance can become comparable to the resistive component due to which performance degradation can be observed along with overshoot and crosstalk issues that can no longer be ignored. Method: This article aims to examine the delay model and reconstruct an interconnect circuit that serves as a transmission line, ranging in length from 1 mm to 10 mm. Result: By keeping the frequency high, low voltage and rise/ fall time, performance parameters such as delay, power consumption, and overshoot are observed. Conclusion: The interconnect structure is compared with another state-of-the-art technique.

A Review of Upscaling Hydrothermal Carbonization

Hydrothermal carbonization (HTC) has recently emerged as a promising technology for converting diverse forms of waste with a high moisture content into value-added products such as biofuel, biochar, and activated carbon. With an increasing demand for sustainable and carbon-neutral energy sources, HTC has attracted considerable attention in the literature. However, a successful transition from laboratory-scale to large-scale industrial applications entails notable challenges. This review critically assesses the upscaling of hydrothermal carbonization processes, emphasizing the challenges, innovations, and environmental implications associated with this transition. The challenges inherent in upscaling HTC are comprehensively discussed, including aspects such as reactor design, process optimization, and the current treatment technology for process water. This review presents recent innovations and technological advancements that address these challenges and explores integrated solutions to enhancing hydrothermal carbonization’s scalability. Additionally, this review highlights key companies that have developed and implemented HTC plants for commercial purposes. By overcoming the obstacles and achieving advancements in the upscaling of hydrothermal carbonization, this review contributes to the ongoing efforts to realize the full potential of HTC as a sustainable and scalable biomass conversion technology and proposes future directions.

How does the impact of a two-stage air pollution control policy on air quality different? Evidence from 258 cities in China

Air pollution control has become a core task in the construction of China's “ecological civilization”. From 2013 to 2020, the Chinese government successively implemented two consecutive environmental management policies targeting air pollution, namely the Air Pollution Prevention and Control Action Plan (APPCAP) and the Blue Sky Defense War (BSDW). To compare and analyze the effects of these two consecutive policies on air pollution control and their differences in governance mechanisms, this paper employs daily air pollution data from 258 cities in China from January 2013 to September 2020 for empirical analysis. We examines the direct impact of the two-stage policies on air pollution and explores the impact mechanisms from three aspects: technological effects, structural effects, and scale effects. The results indicate: (1) Both APPCAP and BSDW significantly reduced AQI, PM2.5, PM10, SO2, nitrogen dioxide, and CO. (2) Compared to APPCAP, BSDW had a stronger effect on reducing nitrogen dioxide and managed O3 in coordination. (3) APPCAP did not have significant impacts on technology, scale, and structure effects, whereas BSDW significantly promoted technological innovation and industrial restructuring but significantly suppressed the scale effect. Our work provides new empirical evidence for the policy heterogeneity in air pollution control and offers useful policy implications for improving air quality and coordinated pollution control.

In-building object tracking and tracing using ultra-wideband technology and temporal distance scaling methods

In-building object tracking and tracing using ultra-wideband technology and temporal distance scaling methods

Outcome measures applied to robotic assistive technology for people with cerebral palsy: a pilot study

The application of robotic devices is being used as Assistive Technology (AT) for improving rehabilitation interventions. The purposes of this research were to (1) test a novel low-cost robotic AT to support interventions for people with Cerebral Palsy (CP); (2) determine its usability; and (3) analyze its impact. It was a pilot study with prospective, longitudinal and analytical cohorts was done. Intervention was developed in one association (NGO) of people with CP. Participants were 6 women and 3 men with CP, with a mean age of 51.67. Intervention with LOLA2 (a robotic platform, not wearable, equipped with artificial intelligence) was implemented for training some activities of daily life (ADL) of participants. Functional Independence Measure (FIM), Psychosocial Impact of Assistive Technology Scale (PIADS), and Assistive Technology Device Predisposition Assessment (ATPA) were used for outcome measures. Level of participants’ independence was high (FIM = 98). Psychosocial impact of the robotic platform in terms of competence (M = 0.25), adaptability (M = 0.33), and self-esteem (M = 0.25), was positive, but low. The mean in ATDPA (M = 3) reflects a moderate match. No significant variations concerning the changes in functional independence were detected. The robotic platform is applicable and complementary AT for rehabilitation. This study leads to implementing some improvements in its design, proposed activities, human-robot interaction, and system for registering information.

Microaeration promotes volatile siloxanes conversion to methane and simpler monomeric products

The ubiquitous use of volatile siloxanes in a myriad of product formulations has led to a widespread distribution of these persistent contaminants in both natural ecosystems and wastewater treatment plants. Microbial degradation under microaerobic conditions is a promising approach to mitigate D4 and D5 siloxanes while recovering energy in wastewater treatment plants. This study examined D4/D5 siloxanes biodegradation under both anaerobic and microaerobic conditions (PO2 = 0, 1, 3 %) using wastewater sludge. Results show that the use of microaeration in an otherwise strictly anaerobic environment significantly enhances siloxane conversion to methane. 16S rRNA gene sequencing identified potential degraders, including Clostridium lituseburense, Clostridium bifermentans and Synergistales species. Furthermore, chemical analysis suggested a stepwise siloxane conversion preceding methanogenesis under microaerobic conditions. This study demonstrates the feasibility of microaerobic siloxane biodegradation, laying groundwork for scalable removal technologies in wastewater treatment plants, ultimately highlighting the importance of using bio-based approaches in tackling persistent pollutants.

HME-assisted formulation of taste-masked dispersible tablets of cefpodoxime proxetil and roxithromycin

ObjectivesAntibiotics are the most commonly administered medications among pediatric patients. However most of the time, accurate dose administration to children becomes a problem due to the extremely bitter taste. Cefpodoxime proxetil (CP) and roxithromycin (ROX) are antibiotics often prescribed to the pediatric population and have a bitter taste. Marketed formulations of these drugs are dry suspension and/or tablets. The lyophilization method involves various steps and thus is time consuming and expensive. The objective of this study was to mask the bitter taste of CP and ROX without compromising the solubility and drug release profile compared to marketed formulations, as well as to overcome the disadvantages associated with the currently used lyophilization technique. MethodsHot melt extrusion (HME) technology was used to process CP and ROX individually with Eudragit E PO polymer. The extrudates obtained were characterized by Fourier transform infrared spectroscopy, powder X-ray diffraction, and differential scanning calorimetry. The powdered extrudates were formulated as dispersible tablets and evaluated for in vitro and in vivo taste-masking efficiency. ResultsThe tablets prepared in this study showed comparable dissolution profiles but the taste-masking efficiency was significantly enhanced compared to the marketed tablets of CP and ROX. The results of in vivo human taste-masking evaluation were also in agreement with the in vitro taste-masking studies. ConclusionThe current work presents solvent-free, scalable, and continuous HME technology for addressing the bitter taste issues of CP and ROX. The disadvantages associated with the currently used lyophilization technique were overcome by developing the formulations using HME technology.

The ChAMP App: A Scalable mHealth Technology for Detecting Digital Phenotypes of Early Childhood Mental Health.

Childhood mental health problems are common, impairing, and can become chronic if left untreated. Children are not reliable reporters of their emotional and behavioral health, and caregivers often unintentionally under- or over-report child symptoms, making assessment challenging. Objective physiological and behavioral measures of emotional and behavioral health are emerging. However, these methods typically require specialized equipment and expertise in data and sensor engineering to administer and analyze. To address this challenge, we have developed the ChAMP (Childhood Assessment and Management of digital Phenotypes) System, which includes a mobile application for collecting movement and audio data during a battery of mood induction tasks and an open-source platform for extracting digital biomarkers. As proof of principle, we present ChAMP System data from 101 children 4-8 years old, with and without diagnosed mental health disorders. Machine learning models trained on these data detect the presence of specific disorders with 70-73% balanced accuracy, with similar results to clinical thresholds on established parent-report measures (63-82% balanced accuracy). Features favored in model architectures are described using Shapley Additive Explanations (SHAP). Canonical Correlation Analysis reveals moderate to strong associations between predictors of each disorder and associated symptom severity (r = .51-.83). The open-source ChAMP System provides clinically-relevant digital biomarkers that may later complement parent-report measures of emotional and behavioral health for detecting kids with underlying mental health conditions and lowers the barrier to entry for researchers interested in exploring digital phenotyping of childhood mental health.

Screw Extrusion as a Scalable Technology for Manufacturing Polylactide Composite with Graphene Filler

Screw Extrusion as a Scalable Technology for Manufacturing Polylactide Composite with Graphene Filler