Development Of Commercial Applications Research Articles

Constructing Dynamic Cross-Linking Networks as Durable Bifunctional Coating for Highly Stable Zinc Anodes.

The serious dendrite growth and H2O-induced side reactions on the Zn electrode lead to a significant fading in the cycling performance, hindering the development of commercial applications of aqueous Zn-ion batteries (AZIBs). Herein, a novel bifunctional network coating of dynamically cross-linking sodium alginate with trehalose has been rationally constructed on the Zn anode (Zn@AT). Firstly, the AT coating possesses abundant zinophilic oxygen-containing functional groups, which are able to induce uniform Zn2+ ion flux. Secondly, the AT coating as a solid barrier can effectively inhibit H2O-induced side reactions by lowering the activity of H2O molecules. More specially, based on the dynamic cross-linking, AT network coating is endowed with self-healing capacity during cycling for durable battery operation. Consequentially, Zn@AT anodes in symmetric cells can cycle stably for 2787 h at 2 mA cm-2/2 mAh cm-2, and even achieve a significantly long cycle performance of 1087 h at large charge/discharge depths of 10 mA cm-2/10 mAh cm-2. Moreover, the Zn@AT//MnO2 full cell shows excellent specific capacity of 175 mAh g-1 after 400 cycles. This study lights an effective strategy to enhance the durability of Zn electrodes in AZIBs.

Research on AI Commercial Application development

As the emerging industry continues to grow, there has been a rise in both the quality and quantity of AI products during the era of commercialization. This article aims to discuss the pros and cons of AI products and looks ahead to their commercialized development. The primary focus of this paper is to examine the current state and progress of AI commercialization by analyzing four aspects: AI-generated artwork technology, machine translation capabilities, and intelligent customer service to AI itself such as its lack of intelligence, limitations in creativity, copyright concerns, and social impact. increasing involvement in human society, it becomes crucial to establish a new human-machine ecosystem in this era under specific circumstances. In terms of politics, the " China 2025" policy proposed a means to integrate information technology with manufacturing processes – aligning with the trajectory of AI commercialization.

Techno-economic process optimization for a range of membrane performances: What provides real value for point-source carbon capture?

Membranes provide a unique opportunity for heavy industry decarbonization and a real solution requires optimal system design. We use a superstructure process model to minimize capital and operational expenses for post-combustion carbon capture systems. We consider membranes having CO2 permeances between 100 and 5000 GPU and selectivities for CO2 over N2 ranging from 10 to 300. For the four heavy industry-representative cases studied, we find membranes with selectivities approximately above 30 have essentially the same economics. When the permeance of CO2 is above 1000 GPU, and the selectivity is between 20 and 30, we find that membrane systems can achieve low capture costs ($20 to $55 per ton) and high energy efficiencies (150 to 500 kWh per ton). A quantitative relationship between membrane properties and optimized process economics enables effective product development for commercial applications.

OPEN SCIENCE DATA CATALOGUE

Abstract. Open Science is a catalyst for innovation. Across the Earth Observation value chain, from R&D to prototyping new products and development of commercial applications, openness can play an important role by promoting long-term sustainable, community-contributed science and technology. The FAIR principles provide essential support to implementing Open Science, by offering guidelines for how researchers can adapt their EO and Earth Science practice to enable that their work (taking place increasingly in the cloud) and results are discovered, accessed, used, and reproduced by others. The Open Science Data Catalogue (OSC) (https://opensciencedata.esa.int) is an ESA Open Science activity aiming to enhance the discoverability and use of the various scientific and value-added results (i.e. data, code, documentation) achieved in Earth System Science research activities funded by ESA EO. The OSC provides open access for the scientific community to geoscience products (based on EO data from ESA and non-ESA missions and other geospatial information and models) across the whole spectrum of Earth Science domains. The OSC adheres to FAIR principles and promotes reproducibility of scientific studies. The OSC makes use of various Open-Source geospatial technologies such as pycsw, PySTAC, and OpenLayers and tries to contribute back to these projects in terms of software and standardisation. This paper reviews the EO OSC architecture, technology stack, and illustrates how this tool can be used to discover and publish Earth System Science products from ESA activities. It also looks at future evolutions of the product and how it contributes to ESA’s EO Open Science and Innovation goals.

Recycling Silicon Waste from the Photovoltaic Industry to Prepare Yolk–Shell Si@void@C Anode Materials for Lithium–Ion Batteries

Silicon is considered to have significant potential for anode materials in lithium–ion batteries (LIBs) with a theoretical specific capacity of 4200 mAh g−1. However, the development of commercial applications is impacted by the volume shift that happens in silicon when charging and discharging. In this paper, a yolk–shell–structured Si@void@C anode material has been developed to address this problem. The silicon nanoparticle yolk material is obtained by recycling kerf loss (KL) Si waste from the process of slicing silicon block casts into wafers in the photovoltaic industry; the carbon shell is prepared by a hydrothermal method with glucose, and the sacrificial interlayer is Al2O3. The produced material is employed in the production of anodes, exhibiting a reversible capacity of 836 mAh g−1 at 0.1 A g−1 after 100 cycles, accompanied by a Coulomb efficiency of 71.4%. This study demonstrates an economical way of transforming KL Si waste into materials with an enhanced value for LIBs.

Parameter sensitivity analysis and efficiency optimization design of wireless charging system

Electric vehicle (EV) wireless charging technology has recently attracted a lot of attention and has a broad potential for commercial application development. A fundamental performance indicator of wireless charging systems is efficient transmission. Magnetic coupling mechanism design and circuit parameters have the greatest effects on the transmission efficiency of the system. In this study, the output power and efficiency of the wireless power transfer (WPT) circuit were theoretically computed based on the LCC-type resonant network. Simulation studies demonstrate that the transmission efficiency and output gain deviate significantly from the expected value when circuit parameters are changed. To improve transmission efficiency, the optimal impedance configuration was created using a semi-controlled rectifier circuit. Based on electromagnetic field theory and equivalent magnetic circuit model, a new contactless transformer structure was optimized and created, and the new contactless transformer had a higher coupling coefficient. The coil offset had a greater impact on the transmission efficiency. The results indicate that within a certain distance, the coupling coil offset had no impact on transmission efficiency, and beyond that distance, the transmission efficiency was almost non-existent. Both the feasibility of the practical verification and the accuracy of the theoretical study were tested using a low-power wireless charging experimental setup. This paper provides design guidelines for wireless charging systems using circuit parameter sensitivity analysis and contactless transformer optimization design.

Security issues and challenges in cloud of things-based applications for industrial automation.

Due to the COVID-19 outbreak, industries have gained a thrust on contactless processing for computing technologies and industrial automation. Cloud of Things (CoT) is one of the emerging computing technologies for such applications. CoT combines the most emerging cloud computing and the Internet of Things. The development in industrial automation made them highly interdependent because the cloud computing works like a backbone in IoT technology. This supports the data storage, analytics, processing, commercial application development, deployment, and security compliances. Now amalgamation of cloud technologies with IoT is making utilities more useful, smart, service-oriented, and secure application for sustainable development of industrial processes. As the pandemic has increased access to computing utilities remotely, cyber-attacks have been increased exponentially. This paper reviews the CoT's contribution to industrial automation and the various security features provided by different tools and applications used for the circular economy. The in-depth analysis of security threats, availability of different features corresponding the security issues in traditional and non-traditional CoT platforms used in industrial automation have been analysed. The security issues and challenges faced by IIoT and AIoT in industrial automation have also been addressed.

Universities’ Involvement in Promoting Digital Entrepreneurship and Future Digital Entrepreneurship Opportunities through Digital Technologies in Indonesia

Abstract Objectives This study aims to identify the roles of various universities in Indonesia in providing education that helps develop digital entrepreneurship: this includes the implications, contributions, and challenges of digitalization; the identification of the impact of digital entrepreneurship on businesses within Indonesia; and an examination of the opportunities and challenges for digital entrepreneurship in Indonesian universities. Methodology The research adopted a qualitative data analysis methodology. This was achieved through secondary data collection, mainly through a content review of the existing literature. Findings The study results indicate that academics have engaged in various forms of digital entrepreneurship, including e-commerce, commercial application development, and digital education business. Each step of digital academic entrepreneurship has been conceived within the context of universities. Digital academic entrepreneurship is the use of digital technology to achieve a goal, and this model includes the following components: motivation, stakeholders, processes, and business forms. Implications Universities must effectively embrace and foster digital academic entrepreneurship. According to this study, there are many ways that the government may encourage digital entrepreneurship at universities. Educational institutions have to give more thought to the growth of student businesses, particularly after firms have been established. The monitoring of student businesses should be handled by a specialized team based at universities. Limitations The main limitation was the fact that the study was limited to secondary data sources; therefore, future research should focus on primary data. Additionally, it was limited to Indonesian universities; future research should be performed on institutions in more advanced countries. Furthermore, the study used a qualitative research method; therefore, future research should use alternative research methodologies.

Antiviral Activities of Andrographolide and Its Derivatives: Mechanism of Action and Delivery System

Andrographispaniculata (Burm.f.) Nees has been used as a traditional medicine in Asian countries, especially China, India, Vietnam, Malaysia, and Indonesia. This herbaceous plant extract contains active compounds with multiple biological activities against various diseases, including the flu, colds, fever, diabetes, hypertension, and cancer. Several isolated compounds from A. paniculata, such as andrographolide and its analogs, have attracted much interest for their potential treatment against several virus infections, including SARS-CoV-2. The mechanisms of action in inhibiting viral infections can be categorized into several types, including regulating the viral entry stage, gene replication, and the formation of mature functional proteins. The efficacy of andrographolide as an antiviral candidate was further investigated since the phytoconstituents of A. paniculata exhibit various physicochemical characteristics, including low solubility and low bioavailability. A discussion on the delivery systems of these active compounds could accelerate their development for commercial applications as antiviral drugs. This study critically reviewed the current antiviral development based on andrographolide and its derivative compounds, especially on their mechanism of action as antiviral drugs and drug delivery systems.

In Vitro and In Vivo Evaluation of Lacticaseibacillus rhamnosus GG and Bifidobacterium lactis Bb12 Against Avian Pathogenic Escherichia coli and Identification of Novel Probiotic-Derived Bioactive Peptides.

Avian pathogenic E. coli (APEC), an extra-intestinal pathogenic E. coli (ExPEC), causes colibacillosis in poultry and is also a potential foodborne zoonotic pathogen. Currently, APEC infections in poultry are controlled by antibiotic medication; however, the emergence of multi-drug-resistant APEC strains and increased restrictions on the use of antibiotics in food-producing animals necessitate the development of new antibiotic alternative therapies. Here, we tested the anti-APEC activity of multiple commensal and probiotic bacteria in an agar-well diffusion assay and identified Lacticaseibacillus rhamnosus GG and Bifidobacterium lactis Bb12 producing strong zone of inhibition against APEC. In co-culture assay, L. rhamnosus GG and B. lactis Bb12 completely inhibited the APEC growth by 24h. Further investigation revealed that antibacterial product(s) in the culture supernatants of L. rhamnosus GG and B. lactis Bb12 were responsible for the anti-APEC activity. The analysis of culture supernatants using LC-MS/MS identified multiple novel bioactive peptides (VQAAQAGDTKPIEV, AFDNTDTSLDSTFKSA, VTDTSGKAGTTKISNV, and AESSDTNLVNAKAA) in addition to the production of lactic acid. The oral administration (108CFU/chicken) of L. rhamnosus GG significantly (P < 0.001) reduced the colonization (~ 1.6 logs) of APEC in the cecum of chickens. Cecal microbiota analysis revealed that L. rhamnosus GG moderated the APEC-induced alterations of the microbial community in the cecum of chickens. Further, L. rhamnosus GG decreased (P < 0.05) the abundance of phylum Proteobacteria, particularly those belonging to Enterobacteriaceae (Escherichia-Shigella) family. These studies indicate that L. rhamnosus GG is a promising probiotic to control APEC infections in chickens. Further studies are needed to optimize the delivery of L. rhamnosus GG in feed or water and in conditions simulating the field to facilitate its development for commercial applications.

Biometric applications in education

Educational institutions are acquiring novel technologies to help make their processes more efficient and services more attractive for both students and faculty. Biometric technology is one such example that has been implemented in educational institutions with excellent results. In addition to identifying students, access control, and personal data management, it has critical applications to improve the academic domain's teaching/learning processes. Identity management system, class attendance, e-evaluation, security, student motivations, and learning analytics are areas in which biometric technology is most heavily employed. A literature review is performed to present an overview of biometric technology applications for educational purposes, challenges that must overcome to implement biometric technology, and potentially foreshadowing trends effectively. The future seems promising for biometric technology; the biometric technology market is expected to reach a value of USD 94 billion by 2025 at a compound annual growth rate of 36%. New characteristics are under development for commercial applications, such as vascular pattern recognition, ear shape recognition, facial thermography, odor sensing, gait recognition, heartbeat authentication, brain waves, and human body bioacoustics. The biggest challenge this technology must overcome is security and privacy issues, which must be addressed to fully develop the technology to its full potential. It is desirable that this literature review can provide researchers with a sound vision of the potential that biometric technology will have in education.

Biotemplating synthesis of rod-shaped tin sulfides assembled by interconnected nanosheets for energy storage

Two-dimensional tin sulfides are attracting extensive attention owing to their various potential applications. However, the synthesis methods of tin sulfides are general sophisticated. In addition, the problems of low conductivity and aggregation during charge and discharge severely degrade capacity and long-term cycling stability of lithium ions battery. Herein, we employ bacteria as biotemplate to synthesize homogeneous rod-shaped tin sulfides assembled by interconnected nanosheets. The evolution of structure is revealed elaborately subsequently. The solid rod-shaped structure is firstly formed through adsorbing positively charged Sn4+ on the surface of bacteria. After interacting with S2− source, the SnS2 nanosheets initially appear on the surface, and gradually grow toward interior space to form interconnected structure. Finally, carbon is coated from in situ decomposition of Escherichia coli after calcination in inert atmosphere and thus improves conductivity of material. As lithium ions battery, this anode exhibits a stable cycle capacity of 655 mAh g−1 at 0.5 A g−1 after 200 cycles. This synthesis method is low-cost and provides an ingenious rod-shaped structure which can solve problem of easy agglomeration during charge and discharge. Furthermore, this study may facilitate the development of commercial applications of lithium ions battery.

Real-time collision avoidance planning for unmanned surface vessels based on field theory

With the development of commercial application of unmanned surface vessels, the real-time collision avoidance is the research focus on the multi-vessels situation, the structure complexity and time consumption problem limit its efficiency. To simplify the complex model and enhance the collision avoidance performance, the field theory is used to describe the navigation of ships abstractly, from which a more simplified optimization model of collision avoidance is derived, so the synthetic field regarding the virtual spatial electric field and velocity field is presented to exhibit the situation of ship motion. On the basis of the field environment, the more simplified collision avoidance model is designed, combining with the improved Electromagnetism-like mechanism algorithm, to generate the optimal collision avoidance strategy, for considering the energy and other loss. The complete algorithm has been compared and validated under the different layout, it is worth mentioning that the algorithm can potentially be developed to advance collision-free navigation in multi-vessels situation.

Metal-hydride hydrogen compressors for laboratory use

The development of commercial applications of hydrogen at high pressure (300–700 + bar), for example in fuel cell vehicles and associated filling stations, necessitates the study of hydrogen capacity, and the safety of materials at pressures well above that of standard pressurised cylinders employed in research laboratories. This, in turn, requires laboratory instruments to have some mechanism for hydrogen compression as part of their operation. In this study, the use of metal-hydride compressors for laboratory applications is explored and evaluated. The reduced operating requirements of laboratory instruments, relative to industrial compressors, and the ready availability of laboratory heating and cooling methods, allows the use of relatively simple, single-stage metal-hydride compressors. A simple theoretical derivation enables the determination of the size and amount of hydrogen storage alloy required for a desired pressure, given the experimental volume to be pressurised. Practical requirements, both in terms of the hydrogen storage alloy, and of the pressure vessel, are discussed. Examples of working compressors for both manual operation to 1000 bar, and automated operation to 100 bar, under computer control, are also given.

Beyond nanopore sizing: improving solid-state single-molecule sensing performance, lifetime, and analyte scope for omics by targeting surface chemistry during fabrication

Solid-state nanopores (SSNs) are single-molecule resolution sensors with a growing footprint in real-time bio-polymer profiling—most prominently, but far from exclusively, DNA sequencing. SSNs accessibility has increased with the advent of controlled dielectric breakdown (CDB), but severe fundamental challenges remain: drifts in open-pore current and (irreversible) analyte sticking. These behaviors impede basic research and device development for commercial applications and can be dramatically exacerbated by the chemical complexity and physical property diversity of different analytes. We demonstrate a SSN fabrication approach attentive to nanopore surface chemistry during pore formation, and thus create nanopores in silicon nitride (SiNx) capable of sensing a wide analyte scope—nucleic acid (double-stranded DNA), protein (holo-human serum transferrin) and glycan (maltodextrin). In contrast to SiNx pores fabricated without this comprehensive approach, the pores are Ohmic in electrolyte, have extremely stable open-pore current during analyte translocation (>1 h) over a broad range of pore diameters (3— ∼30 nm) with spontaneous current correction (if current deviation occurs), and higher responsiveness (i.e. inter-event frequency) to negatively charged analytes (∼6.5 × in case of DNA). These pores were fabricated by modifying CDB with a chemical additive—sodium hypochlorite—that resulted in dramatically different nanopore surface chemistry including ∼3 orders of magnitude weaker Ka (acid dissociation constant of the surface chargeable head-groups) compared to CDB pores which is inextricably linked with significant improvements in nanopore performance with respect to CDB pores.

Emotional Expressions Reconsidered: Challenges to Inferring Emotion From Human Facial Movements

It is commonly assumed that a person’s emotional state can be readily inferred from his or her facial movements, typically called emotional expressions or facial expressions. This assumption influences legal judgments, policy decisions, national security protocols, and educational practices; guides the diagnosis and treatment of psychiatric illness, as well as the development of commercial applications; and pervades everyday social interactions as well as research in other scientific fields such as artificial intelligence, neuroscience, and computer vision. In this article, we survey examples of this widespread assumption, which we refer to as the common view, and we then examine the scientific evidence that tests this view, focusing on the six most popular emotion categories used by consumers of emotion research: anger, disgust, fear, happiness, sadness, and surprise. The available scientific evidence suggests that people do sometimes smile when happy, frown when sad, scowl when angry, and so on, as proposed by the common view, more than what would be expected by chance. Yet how people communicate anger, disgust, fear, happiness, sadness, and surprise varies substantially across cultures, situations, and even across people within a single situation. Furthermore, similar configurations of facial movements variably express instances of more than one emotion category. In fact, a given configuration of facial movements, such as a scowl, often communicates something other than an emotional state. Scientists agree that facial movements convey a range of information and are important for social communication, emotional or otherwise. But our review suggests an urgent need for research that examines how people actually move their faces to express emotions and other social information in the variety of contexts that make up everyday life, as well as careful study of the mechanisms by which people perceive instances of emotion in one another. We make specific research recommendations that will yield a more valid picture of how people move their faces to express emotions and how they infer emotional meaning from facial movements in situations of everyday life. This research is crucial to provide consumers of emotion research with the translational information they require.

Low-cost, simple, and scalable self-assembly of DNA origami nanostructures

Despite demonstrating exciting potential for applications such as drug delivery and biosensing, the development of nanodevices for practical applications and broader use in research and education are still hindered by the time, effort, and cost associated with DNA origami fabrication. Simple and robust methods to perform and scale the DNA origami self-assembly process are critical to facilitate broader use and translation to industrial or clinical applications. We report a simple approach to fold DNA origami nanostructures that is fast, robust, and scalable. We demonstrate fabrication at scales approximately 100–1,500-fold higher than typical scales. We further demonstrate an approach we termed low-cost efficient annealing (LEAN) self-assembly involving initial heating at 65 °C for 10 min, then annealing at 51 °C for 2 h, followed by brief quenching at 4 °C that leads to effective assembly of a range of DNA origami structures tested. In contrast to other methods for scaling DNA origami assembly, this approach can be carried out using cheap and widely available equipment (e.g., hot plates, water baths, and laboratory burners) and uses standard recipes and materials so is readily applied to any existing or new DNA origami designs. We envision these methods can facilitate device development for commercial applications and facilitate broader use of DNA origami in research and education.

All-Polymer Solar Cells: Recent Progress, Challenges, and Prospects.

For over two decades bulk-heterojunction polymer solar cell (BHJ-PSC) research was dominated by donor:acceptor BHJ blends based on polymer donors and fullerene molecular acceptors. This situation has changed recently, with non-fullerene PSCs developing very rapidly. The power conversion efficiencies of non-fullerene PSCs have now reached over 15 %, which is far above the most efficient fullerene-based PSCs. Among the various non-fullerene PSCs, all-polymer solar cells (APSCs) based on polymer donor-polymer acceptor BHJs have attracted growing attention, due to the following attractions: 1) large and tunable light absorption of the polymer donor/polymer acceptor pair; 2) robustness of the BHJ film morphology; 3) compatibility with large scale/large area manufacturing; 4) long-term stability of the cell to external environmental and mechanical stresses. This Minireview highlights the opportunities offered by APSCs, selected polymer families suitable for these devices with optimization to enhance the performance further, and discusses the challenges facing APSC development for commercial applications.

Expanding the toolbox for cryopreservation of marine and freshwater diatoms

Diatoms constitute the most diverse group of microalgae and have long been recognised for their large biotechnological potential. In the wake of growing research interest in new model species and development of commercial applications, there is a pressing need for long-term preservation of diatom strains. While cryopreservation using dimethylsulfoxide (DMSO) as a cryoprotective agent is the preferred method for long-term strain preservation, many diatom species cannot be successfully cryopreserved using DMSO. Therefore, in this study, we studied cryopreservation success in six different diatom species, representing the major morphological and ecological diatom groups, using a range of DMSO concentrations and Plant Vitrification Solution 2 (PVS2) as an alternative cryoprotectant to DMSO. In addition, we tested whether suppressing bacterial growth by antibiotics accelerates the post-thaw recovery process. Our results show that the effects of cryoprotectant choice, its concentration and the addition of antibiotics are highly species specific. In addition, we showed that PVS2 and antibiotics are useful agents to optimize cryopreservation of algae that cannot survive the traditional cryopreservation protocol using DMSO. We conclude that a species-specific approach will remain necessary to develop protocols for diatom cryopreservation and to increase their representation in public culture collections.

One-pot growth of two-dimensional lateral heterostructures via sequential edge-epitaxy.

Two-dimensional heterojunctions of transition-metal dichalcogenides have great potential for application in low-power, high-performance and flexible electro-optical devices, such as tunnelling transistors, light-emitting diodes, photodetectors and photovoltaic cells. Although complex heterostructures have been fabricated via the van der Waals stacking of different two-dimensional materials, the in situ fabrication of high-quality lateral heterostructures with multiple junctions remains a challenge. Transition-metal-dichalcogenide lateral heterostructures have been synthesized via single-step, two-step or multi-step growth processes. However, these methods lack the flexibility to control, in situ, the growth of individual domains. In situ synthesis of multi-junction lateral heterostructures does not require multiple exchanges of sources or reactors, a limitation in previous approaches as it exposes the edges to ambient contamination, compromises the homogeneity of domain size in periodic structures, and results in long processing times. Here we report a one-pot synthetic approach, using a single heterogeneous solid source, for the continuous fabrication of lateral multi-junction heterostructures consisting of monolayers of transition-metal dichalcogenides. The sequential formation of heterojunctions is achieved solely by changing the composition of the reactive gas environment in the presence of water vapour. This enables selective control of the water-induced oxidation and volatilization of each transition-metal precursor, as well as its nucleation on the substrate, leading to sequential edge-epitaxy of distinct transition-metal dichalcogenides. Photoluminescence maps confirm the sequential spatial modulation of the bandgap, and atomic-resolution images reveal defect-free lateral connectivity between the different transition-metal-dichalcogenide domains within a single crystal structure. Electrical transport measurements revealed diode-like responses across the junctions. Our new approach offers greater flexibility and control than previous methods for continuous growth of transition-metal-dichalcogenide-based multi-junction lateral heterostructures. These findings could be extended to other families of two-dimensional materials, and establish a foundation for the development of complex and atomically thin in-plane superlattices, devices and integrated circuits.