Development Of Advanced Technologies Research Articles

Being a Digital Church in the Transition to post Covid-19 pandemic era

This article has two objectives. The first objective is to analyse the literature on being a digital church as expressed from the pessimistic and optimistic use of digital platforms for the ministry of the church. The second and last objective is to motivate and recommend actions that can be conducted towards doing digital church. The research issue of this article is that Sub-Saharan Africa is experiencing growth in internet usage and mobile phone availability. Various African governments have realised the benefits of advanced technological development hence they made plans to develop relevant infrastructures. This move towards embracing advanced technological development in Africa should be an inspiration for the churches in Africa to grasp the opportunity to do digital church and use technology to enhance the church ministry. This article discusses the future of advanced technological development in Africa, the challenges and significance of doing digital church, and the role of the pastors towards doing digital church and concludes with recommendations for doing digital church. The researchers used a literature review methodology and the main guiding theory is the hermeneutical theory of research.

MACHINE LEARNING-BASED FACIAL RECOGNITION FOR VIDEO SURVEILLANCE SYSTEMS

Video surveillance systems play a crucial role in ensuring public safety and security. However, the traditional methods of surveillance often fall short in effectively identifying individuals, particularly in crowded or dynamic environments. This research addresses the limitations of conventional video surveillance by proposing a machine learning-based facial recognition system. The increasing demand for robust security measures necessitates the development of advanced technologies in video surveillance. Facial recognition has emerged as a promising solution, but existing systems struggle with accuracy and efficiency. This research aims to bridge these gaps by leveraging machine learning techniques for facial recognition in video surveillance. Conventional video surveillance struggles with accurate and rapid identification of individuals, leading to potential security lapses. This research addresses the challenge of enhancing facial recognition accuracy in real-time video feeds, especially in scenarios with varying lighting conditions and occlusions. While facial recognition has gained traction, there is a significant research gap in the implementation of machine learning algorithms tailored for video surveillance. This study aims to fill this void by proposing a novel methodology that combines deep learning and computer vision techniques for robust facial recognition in dynamic environments. The proposed methodology involves training a deep neural network on a diverse dataset of facial images to enable the model to learn intricate facial features. Additionally, computer vision algorithms will be employed to handle challenges such as occlusions and varying lighting conditions. The model''''s performance will be evaluated using real-world video surveillance data. Preliminary results demonstrate a significant improvement in facial recognition accuracy compared to traditional methods. The machine learning-based system exhibits enhanced performance in challenging scenarios, showcasing its potential for practical implementation in video surveillance systems.

Pengaruh Literasi Digital terhadap Pelaksanaan Asuhan Keperawatan

This literature study aims to describe the influence of digital transformation on the implementation of nursing care in terms of ethics and the side of providing nursing care. The method used is an integrated literature review method where the source of information is obtained from searching various journals published from 2016 to 2021. Journal searches using the words "nursing care", "digital literacy" and "digital transformation". The results of the research after After reviewing six related articles, the main theme was how nurses take advantage of technological developments in implementing digital health literacy, and the benefits felt by nurses. In conclusion, digital nursing technology really helps nurses in providing nursing care to clients where their time becomes more efficient. and the quality of services has increased, but this has also led to a process of dehumanization as a result of technology, so it is necessary to develop an attitude of digital professionalism as an effort to build a professional identity that can maintain human values in providing patient-centered nursing care.
 
 Key words: Nursing care; digital literacy; digital transformation

워즈워스의 “우리는 일곱”에 나타난 공감과 소통의 시적 가능성

This paper examines the poetic possibilities of sympathy and communication through a ‘close reading’ of William Wordsworth’s short poem, “We Are Seven,” published at the end of the 18th century to mark the beginning of British Romanticism. Sympathy and communication are being re-examined as essential human values in this era of advanced technological development. Still, these topics were actively discussed in the British intellectual community in the 18th century. Against the backdrop of the intellectual discourses on sympathy, “We Are Seven” is a great example poem of communicative poetics based on sympathy; even though the conflicting arguments of two characters over death end up with the poetic impasse and unresolved uncertainty, which, this paper argues, make it paradoxically possible to open a new space for the possibility of sympathy and communication by deconstructing the existing hierarchy and order of discourses.

Advanced membrane‐based electrode engineering toward efficient and durable water electrolysis and cost‐effective seawater electrolysis in membrane electrolyzers

AbstractResearchers have been seeking for the most technically‐economical water electrolysis technology for entering the next‐stage of industrial amplification for large‐scale green hydrogen production. Various membrane‐based electrolyzers have been developed to improve electric‐efficiency, reduce the use of precious metals, enhance stability, and possibly realize direct seawater electrolysis. While electrode engineering is the key to approaching these goals by bridging the gap between catalysts design and electrolyzers development, nevertheless, as an emerging field, has not yet been systematically analyzed. Herein, this review is organized to comprehensively discuss the recent progresses of electrode engineering that have been made toward advanced membrane‐based electrolyzers. For the commercialized or near‐commercialized membrane electrolyzer technologies, the electrode material design principles are interpreted and the interface engineering that have been put forward to improve catalytic sites utilization and reduce precious metal loading is summarized. Given the pressing issues of electrolyzer cost reduction and efficiency improvement, the electrode structure engineering toward applying precious metal free electrocatalysts is highlighted and sufficient accessible sites within the thick catalyst layers with rational electrode architectures and effective ions/mass transport interfaces are enabled. In addition, this review also discusses the innovative ways as proposed to break the barriers of current membrane electrolyzers, including the adjustments of electrode reaction environment, and the feasible cell‐voltage‐breakdown strategies for durable direct seawater electrolysis. Hopefully, this review may provide insightful information of membrane‐based electrode engineering and inspire the future development of advanced membrane electrolyzer technologies for cost‐effective green hydrogen production.

Modulation of ion transport through nanopores in water desalination: a molecular dynamics study

ABSTRACT A good understanding of ion transport mechanisms through nanopores is an important issue for the development of advanced water desalination technologies. We use the molecular dynamics simulation method to systematically investigate the translation dynamics of ions through nanopores in the water desalination process by designing four kinds of nano-membranes based on carbon nanomaterials. Results indicate that circular-shaped pore exhibits better water permeability, nevertheless, the slit pore has a lower resistance due to the larger pore area; nanochannel membranes increase the residence time of ions. Fluorination induces more ordered ionic hydration structures, and enhances Na + -Cl- ion pair association. -OH groups replace partial ionic hydration water molecules and facilitate ions transport into membranes. The -NH3 +, -COO- groups can strongly adsorb the oppositely charged ions, and substantially slow down ion dynamics. Functionalisation within nanochannel interior can further enhance interfacial friction and transport resistance, even causing pore blocking by charged groups. The fluorinated nanochannel membrane demonstrates complete rejection of ions with a water permeability coefficient of 1.88 × 104 L·m−2·h−1·bar−1, breaking the permeability-selectivity trade-off. This study indicates that ion transport in nanopores could be finely modulated to obtain enhanced performance in water desalination.

Resource orchestration capability for innovation: towards an empirically validated measurement framework

PurposeThe purpose of this research is to conceptualize, define and measure resource orchestration capabilities of R&D teams pursuing advanced scientific research and technological innovation at public-funded R&D organizations in India.Design/methodology/approachA series of five mutually exclusive studies were designed over two years to develop and validate the ROCI scale within public research and development (R&D) organizations pursuing advanced scientific research and technological development in India. The first three studies address the refinement, reduction and rationalization of items for measuring the ROCI construct. The next study explores the factor structure underlying the ROCI construct whereas the subsequent one confirms the three-factor structure within empirical settings.FindingsThe resource orchestration capability towards innovation (ROCI) construct reflected through three sub-dimensions namely – adaptive structuring capability (ASC), synergistic leveraging capability (SLC) and decentralized decision-making capability (DDC), each loaded with their respective items can be used for capability measurement in public-funded R&D organizations.Practical implicationsR&D managers can use this ROCI scale to measure, monitor and improve the innovation-oriented resource orchestration capabilities of their R&D teams and help them improve their innovation performance.Originality/valueThis research contributes to the extant literature on resource orchestration for innovation management in three unique and original ways – theoretically-grounded conceptualization, empirical measurement and rigorous validation through multiple studies conducted in public-funded R&D organizations in India.

The Industrial Revolution 4.0, Societal Well-Being and Firms Performance among Malaysian Listed Companies

In today's competitive economic landscape, companies around the world face mounting pressure to innovate and incorporate cutting-edge technology, particularly Industry 4.0 (IR4), into their operations. As a result, investing in the development and adoption of advanced IR4 technology has become increasingly crucial for businesses looking to remain competitive. Additionally, there is growing demand for companies to prioritize their responsibilities to society, including improving their workforce, upholding human rights, supporting local communities, and ensuring product safety and reliability. In light of these factors, it is important to investigate the relationship between a company's commitment to Industry 4.0 (IR 4.0) and societal well-being with the overall firm performance. This study examines a sample of 309 firm-year observations from publicly listed companies in Malaysia between 2010 and 2018, utilizing data from the Refinitiv database and employing multiple regression analysis. The results of the study demonstrate a positive association between a company's commitment to IR 4.0 and societal well-being with its overall firm performance. Further analysis also shows that individual components of social scores, such as workforce, human rights, community, and product responsibility, have a positive impact on firm performance. The findings of this study offer valuable insights to investors and policymakers, suggesting that a company's commitment to adopting digital technology and promoting societal well-being can lead to improved performance.

Cu-doped KTa0.6Nb0.4O3 nanoparticles for enhancing the dielectric properties of PVDF composite film

Electronic devices frequently make use of dielectric materials, which are also essential to the development of advanced electronics, medical technology, and avionics. Here, a new strategy of doping KTa0.6Nb0.4O3 (KTN) with different copper ion contents was prepared by hydrothermal synthesis. The dielectric constant of PVDF-KTN-4%Cu (1 kHz, ε′ = 44.15) composite film prepared by organic–inorganic composite is higher than those of PVDF-KTN-1%Cu (1 kHz, ε′ = 40.66), PVDF-KTN (1 kHz, ε′ = 37.53), and pure PVDF film (1 kHz, ε′ = 6.79). Results also show that the loss angle and electrical modulus of the PVDF-KTN-Cu composite films are smaller than those of PVDF-KTN. The lattice distortion of octahedra was calculated by first-nature principle to derive the most likely K sites for copper-ion substitution. The distortion parameter and the dielectric constant increased along with the copper-ion content, which enhanced local polarization. This method offers a fresh way to create composites with superior dielectric properties.

Prinsip dan Etika Komunikasi dalam Penggunaan Media Baru

This research aims to describe communication principles and ethics in the use of new media. Currently, in the digital era and increasingly advanced technological developments, it has an impact on all people's lives which have now shifted and become dependent on the use of new media. The qualitative descriptive method was carried out using interview, FGD and documentation data collection techniques. Next, data analysis was carried out using Miles and Huberman analysis starting from data collection, display, verification and conclusion. The results of the research show that communication ethics is very necessary for every human being, where someone's polite and/or impolite ethics can be seen from the way they communicate with other people, not only directly in the real world but also in the virtual world. In this article, the author finds several phenomena and cases to prove how important communication principles and ethics are in the use of new media.

PENGARUH BUDAYA KERJA, LINGKUNGAN KERJA DAN STRES KERJA TERHADAP PRODUKTIVITAS KERJA KARYAWAN BAGIAN PRODUKSI PADA PR ALAINA FAJAR BERLIAN TULUNGAGUNG

The development of technological advances and the increasingly high rate of economic growth, increasing the number of companies in the industrial branch, currently a lot of cigarette businesses are developing very rapidly, marked by competition in the business world. Problems often occur when the attitude and behavior of employees decreases so that it affects the level of productivity of work skills. This problem was felt by PR employee Alaina Fajar Berlian Tulungagung. The research objective was to determine the significant effect of work culture, work environment and work stress on employee productivity partially or simultaneously. The population in the study was taken from several production employees. Methods of analysis using quantitative inferential statistics include validity, reliability, assumption test, multiple linear regression, hypothesis testing. The results showed that the work culture variable partially had a positive and significant effect on employee work productivity with a significant t 0.001 <0.05 meaning Ha1 was accepted. The work environment variable partially has a positive and significant effect on employee work productivity with a significant t 0.000 <0.05 meaning Ha2 is accepted. Work stress variable partially has a positive and significant effect on employee work productivity with a significant t 0.001 <0.05, which means Ha3 is accepted. The variables of work culture, work environment and work stress simultaneously have a positive and significant effect on employee work productivity with a significant F of 0.000 <0.05 meaning Ha3 is accepted.

A Survey of Controllable Text Generation Using Transformer-based Pre-trained Language Models

Controllable Text Generation (CTG) is an emerging area in the field of natural language generation (NLG). It is regarded as crucial for the development of advanced text generation technologies that better meet the specific constraints in practical applications. In recent years, methods using large-scale pre-trained language models (PLMs), in particular the widely used Transformer-based PLMs, have become a new paradigm of NLG, allowing generation of more diverse and fluent text. However, due to the limited level of interpretability of deep neural networks, the controllability of these methods needs to be guaranteed. To this end, controllable text generation using Transformer-based PLMs has become a rapidly growing yet challenging new research hotspot. A diverse range of approaches have emerged in the past 3 to 4 years, targeting different CTG tasks that require different types of controlled constraints. In this article, we present a systematic critical review on the common tasks, main approaches, and evaluation methods in this area. Finally, we discuss the challenges that the field is facing, and put forward various promising future directions. To the best of our knowledge, this is the first survey article to summarize the state-of-the-art CTG techniques from the perspective of Transformer-based PLMs. We hope it can help researchers and practitioners in the related fields to quickly track the academic and technological frontier, providing them with a landscape of the area and a roadmap for future research.

Improvement strategies for oil/water separation based on electrospun SiO2 nanofibers

Oil spills and oily effluents from industry and daily life pose a great threat to all organisms in the ecosystem, while aggravating the problem of water scarcity, which has developed into a global challenge. Therefore, the development of advanced materials and technologies for oil/water separation has become a focus of attention. One-dimensional (1D) SiO2 nanofibers (SNFs) have become one of the most widely used inorganic nanomaterials in the past due to their stable chemical properties, excellent biocompatibility, and high temperature resistance etc. Meanwhile, electrospinning technique, as an emerging technology for treating oil/water emulsions, electrospun SNFs on this basis also has a number of advantages such as adjustable wettability, diverse structure and good connectivity. This review provides a systematic overview of the research progress of electrospun SNFs in different aspects. In this review, we first introduce the basic principles of electrospun SNFs, then focus on the design structures of various SNFs, propose corresponding strategies for the property improvement of SNFs, also analyze and consider the applications of SNFs. Finally, the challenges faced by electrospun SNFs in the field of oil/water separation are analyzed, and the future directions of electrospun SNFs are summarized and prospected.

Research on Intelligent Operation and Maintenance (O＆M) Method of Complex Products based on Digital Twin

<p>With the development of advanced data analysis technology, the manufacturing industry is moving towards the direction of intelligence. To solve the problems of low operation and maintenance (O&M) efficiency, passive O&M personnel and low intelligence of complex products, a digital twin-based intelligent O&M method for complex products is proposed. A digital twin intelligent O&M model with the physical O&M center, virtual O&M center, twin data platform and O&M service system is established. In the case of product fault classification, the maintenance mechanism is designed and the O&M process in different states is analyzed. Then the implementation process and key technologies are described in detail. Through the digital twin model, the virtual-real interaction and data dynamic update of O&M are realized. Finally, taking the key components of a certain type of EMU bogie as an example, the K-means clustering and Apriori algorithm are used to analyze the fault data. Moreover, the validity and feasibility of the proposed model are verified by applying the fault data to the digital twin architecture. The proposed model and key technologies can provide a new solution for the intelligent O&M of complex products.</p> <p> </p>

Source-Load Scenario Generation Based on Weakly Supervised Adversarial Learning and Its Data-Driven Application in Energy Storage Capacity Sizing

The historical measured data of renewable energy sources and loads can be processed in various ways to generate scenarios for energy storage planning. With the development of advanced forecast technology, the valuable reference of massive forecast data accumulated by the prediction platform in sce-nario generation is ignored. To this end, we propose a new par-adigm based on scenario generation for energy storage planning considering source-load uncertainties. First, a novel generative adversarial network (GAN) is constructed under weakly super-vised learning. The network can extract the prediction errors between predicted data and measured data to generate source-load profiles. The loss function of the network is redesigned to adapt to the data generation task. To match the planning pro-cess, scenario generation and reduction algorithms are embed-ded in the GAN. Then, an energy storage sizing model consider-ing battery health constraints is established. Case studies show that the proposed method can accurately portray the local fluc-tuation characteristics of source-load power and properly re-duce conservatism compared with the model-driven method

Lifelong education as one of the digital decade trends

The article is devoted to the topical issues of lifelong education as a new and increasingly relevant form of education. The article examines the impact of digital transformation on the transformation of the education system. The authors emphasize the relationship between the growth in the volume and coverage of digital technologies and the increase in the number of educational services in various forms (the system of additional education, courses, webinars, programs for studying cutting edge academic disciplines in a short time). The research focuses on the theoretical understanding of the trend of the last decade – lifelong education. An important conclusion, confirmed by the already available in modern sociology research, was the judgment that the increased relevance of lifelong education is directly related to digitalization and the technical, technological and organizational preferences that it provides to the educational system. Thus, distance educational technologies (zoom, skype, teleconference from Yandex, Vebinar and others) demonstrate the ability to be involved in the educational process regardless of location, gender, age, employment, occupation and interests. In addition, in modern conditions of transition to a new digital reality under the influence of the rapid development of advanced technologies, there is a question of the need for constant professional reorientation and obtaining new knowledge and skills in the fields of computer programming, the use of digital technologies, including interacting with artificial intelligence. The article identifies new popular areas of study, the principles of lifelong education, and also highlights the advantages and disadvantages of the object of study. It is also revealed that today an ambiguous attitude of teachers and students to online education has been formed.

Filantropi Pendidikan Islam Untuk Meningkatkan Kesejahteraan Masyarakat Era Transformasi Digital di Indonesia

In connection with efforts to improve people's welfare, it is known as Islamic Philanthropy. The development of Islamic philanthropy in Indonesia is moving fast and still accompanied by technological developments. The purpose of this mini research is to find out how the concept of Islamic philanthropy in Indonesia is to advance people's welfare in the digital transformation era. This writing is a type of qualitative research using the literature study method by taking some data and previous relevant studies in accordance with the object of research. Based on the results of the literature study, it was found that philanthropy in Indonesia is very well known in society. Especially in the digital transformation era that takes advantage of technological developments in the aspect of using social media to invite the public to play an active role in participating in aspects of Islamic philanthropy. Most Islamic philanthropic institutions have used social media to invite the public to issue zakat, alms, infaq and also endowments which will certainly have an impact on people's welfare. Several influencers also took advantage of the media and indirectly campaigned for Islamic philanthropy in Indonesia so that it could be seen by the wider community. The use of social media is the best choice for conveying information to the public, because today they can access information anywhere and anytime with current technological developments.

Bias-switchable photoconductance in surface-modified graphene oxide by green synthesized ZnO nanoparticles

This study provides an environmentally friendly method for synthesizing Zinc oxide (ZnO) nanoparticles through Adhatoda vasica extracts as plant-mediated reducing agents. ZnO-GO nanostructures are prepared using microwave irradiation, while a modified Hummer's method was employed for graphene oxide (GO) synthesis. The thorough characterization establishes the purity, phase and structural conformation of the synthesized ZnO-GO NCs. The observation of ZnO nanoparticles accumulating over the GO surface through High-Resolution Transmission Electron Microscopy and Scanning Electron Microscopy validates the formation of nanocomposites. The resulting ZnO-GO nanocomposites displayed remarkable and broad photoresponsivity across various wavelengths. Notably, at 480 nm, photoresponsivity is found to be a maximum of 0.47 mA/W, whereas it is 0.29 mA/W and 0.21 mA/W at 520 nm and 670 nm respectively. We have achieved responsiveness of 0.48 µA/W and detectivity of 13.9 × 106 Jones at 480 nm with biasing voltage of 1 nV which reflects their potential for self-biased optoelectronic devices. Thus, the photodetector demonstrates a positive photoresponse within the voltage range of 5–30 volts while exhibiting a negative photoresponse in the range of 1–100 nanovolts. This aspect introduces a novel and unprecedented characteristic to the device's behavior. Overall, the integration of eco-friendly synthesis methods, comprehensive characterization, and device performance puts this work with promising implications for sustainable and advanced technology development.

Device-scale atomistic modelling of phase-change memory materials

Computer simulations can play a central role in the understanding of phase-change materials and the development of advanced memory technologies. However, direct quantum-mechanical simulations are limited to simplified models containing a few hundred or thousand atoms. Here we report a machine-learning-based potential model that is trained using quantum-mechanical data and can be used to simulate a range of germanium–antimony–tellurium compositions—typical phase-change materials—under realistic device conditions. The speed of our model enables atomistic simulations of multiple thermal cycles and delicate operations for neuro-inspired computing, specifically cumulative SET and iterative RESET. A device-scale (40 × 20 × 20 nm3) model containing over half a million atoms shows that our machine-learning approach can directly describe technologically relevant processes in memory devices based on phase-change materials.

Bursts of polarised single photons from atom-cavity sources

Photonic qubits play an instrumental role in the development of advanced quantum technologies, including quantum networking, boson sampling and measurement based quantum computing. A promising framework for the deterministic production of indistinguishable single photons is an atomic emitter coupled to a single mode of a high finesse optical cavity. Polarisation control is an important cornerstone, particularly when the polarisation defines the state of a quantum bit. Here, we propose a scheme for producing bursts of polarised single photons by coupling a generalised atomic emitter to an optical cavity, exploiting a particular choice of quantisation axis. In connection with two re-preparation methods, simulations predict ten-photon bursts coincidence count rates on the order of 1 kHz with single atoms trapped in a state of the art optical cavity. This paves the way for novel n-photon experiments with atom-cavity sources.