Technological Breakthroughs Research Articles

Analisis Pemanfaatan Media Sosial dalam Peningkatan Penjualan Produk Kuliner: Studi Kasus pada Usaha Mf Dessert

Technology is developing very rapidly which has many consequences in the field of human life, especially the development of technology in the field of the internet. As a result of these advancements, trading systems, ways of transacting, and marketing systems will all undergo a revolution. Previously, you had to meet the merchant in person if you wanted to buy something. As a result, the distance between the seller and the buyer is quite short. However, with technological breakthroughs, especially in the realm of the internet, all barriers of distance, time, and cost can be easily overcome. One type of internet technology development that can help build a business is the use of social media. MF Dessert is a business established in 2021 that provides a variety of dessert menus such as Haunted Chocolate, Mille Crepes and Fruit Salad. This study aims to find out the analysis of the use of social media in increasing sales culinary products (case study on MF Dessert business). This study uses a qualitative descriptive approach. The results of the research obtained are that the social media used are WhatsApp, Facebook and Instagram, where the use of Whatsapp is more often used than Facebook and Instagram and MF Dessert's business sales have increased by using social media. In conclusion, the use of social media makes it easier for dessert sales that reach more many consumers and social media that is more often used is WhatsApp, the amount of profit obtained from online sales in November is more than Rp. 170,000 compared to direct/offline sales in October. So that the number of sales of MF Dessert's business increased by using social media.

Mirror-Image Random Nonstandard Peptides Integrated Discovery (MI-RaPID) Technology Yields Highly Stable and Selective Macrocyclic Peptide Inhibitors for Matrix Metallopeptidase 7.

Matrix metallopeptidase 7 (MMP7) plays a crucial role in cancer metastasis and progression, making it an attractive target for therapeutic development. However, the development of selective MMP7 inhibitors is challenging due to the conservation of active sites across various matrix metalloproteinases (MMPs). Here, we have developed mirror-image random nonstandard peptides integrated discovery (MI-RaPID) technology to discover innate protease-resistant macrocyclic peptides that specifically bind to and inhibit human MMP7. One identified macrocyclic peptide against D-MMP7, termed D20, was synthesized in its mirror-image form, D'20, consisting of 12 D-amino acids, one cyclic β-amino acid, and a thioether bond. Notably, it potently inhibited MMP7 with an IC50 value of 90 nM, and showed excellent selectivity over other MMPs with similar substrate specificity. Moreover, D'20 inhibited the migration of pancreatic cell line CFPAC-1, but had no effect on the cell proliferation and viability. D'20 exhibited excellent stability in human serum, as well as in simulated gastric and intestinal fluids. This study highlights that MI-RaPID technology can serve as a powerful tool to develop in vivo stable macrocyclic peptides for therapeutic applications.

Mirror‐Image Random Nonstandard Peptides Integrated Discovery (MI‐RaPID) Technology Yields Highly Stable and Selective Macrocyclic Peptide Inhibitors for Matrix Metallopeptidase 7

AbstractMatrix metallopeptidase 7 (MMP7) plays a crucial role in cancer metastasis and progression, making it an attractive target for therapeutic development. However, the development of selective MMP7 inhibitors is challenging due to the conservation of active sites across various matrix metalloproteinases (MMPs). Here, we have developed mirror‐image random nonstandard peptides integrated discovery (MI‐RaPID) technology to discover innate protease‐resistant macrocyclic peptides that specifically bind to and inhibit human MMP7. One identified macrocyclic peptide against D‐MMP7, termed D20, was synthesized in its mirror‐image form, D’20, consisting of 12 D‐amino acids, one cyclic β‐amino acid, and a thioether bond. Notably, it potently inhibited MMP7 with an IC50 value of 90 nM, and showed excellent selectivity over other MMPs with similar substrate specificity. Moreover, D’20 inhibited the migration of pancreatic cell line CFPAC‐1, but had no effect on the cell proliferation and viability. D’20 exhibited excellent stability in human serum, as well as in simulated gastric and intestinal fluids. This study highlights that MI‐RaPID technology can serve as a powerful tool to develop in vivo stable macrocyclic peptides for therapeutic applications.

Nanoarchitecture via Synchronic Stacking of Metallic and Nonmetallic Two-Dimensional Nanosheets for Optimal Light-Driven Ion Transport.

The exceptional selectivity and responsive ion transport in biological channels inspire technology breakthrough in energy, environmental, and resource sectors. However, existing nanofluidic systems with a high photothermal conversion efficiency often exhibit excessive thermal conductivity, which impedes the creation of effective temperature gradients and results in a low ion transport efficiency. In this study, a strategy based on the synchronic stacking of metallic and nonmetallic two-dimensional (2D) nanosheets was presented to construct heterogeneous nanofluidic channels. This specific nanoconfined architecture sustained high temperatures in the illuminated area while maintaining low temperatures in the nonilluminated area, thus obtaining a robust driving force from sunlight for directional ion transport. As a result, our light-responsive ion transport system demonstrated significant potential in solar energy conversion and osmotic energy harvesting, surpassing those of all previously reported nanofluidic systems. Additionally, although it is still at the proof-of-concept stage, it shows great promise in light signal monitoring. This work provides an effective strategy for developing advanced light-responsive ion transport systems and their important applications.

Article: A Time to Institutionalize the International Tax Regime

The paper proposes replacing the existing and outdated decentralized international tax system with a centralized tax authority that would include four branches: a hierarchic judiciary branch that would replace/subject thousands of domestic tax tribunals, a legislative branch that would replace the existing inclusive Organization for Economic Cooperation and Development (OECD) forum that would be more balanced and as such be able to continue developing the international tax policy in the coming challenges that the Twenty-first century will bring, an executive branch that would be responsible for issuing multilateral letter ruling and guidance of how to implement the international principles and norms, assist poor countries whose costs in implementing beneficial practices are high and offer sanctions for countries that secretly deviate from the general principles and foster harmful tax principles. Furthermore, we propose to establish an audit branch that would supervise the compliance of the different countries. The Article therefore blesses the recent multilateral cooperation of approximately 140 countries and suggests the time has come to institutionalize the international tax order and centralize it to better face the coming challenges that the technological breakthroughs would bring.

Advancements in Contemporary Pharmacological Innovation: Mechanistic Insights and Emerging Trends in Drug Discovery and Development

Developing a new drug and bringing it to the market is a complex and time-consuming process that involves multiple phases of drug discovery and development. However, recent advancements in various technologies, such as multi-omics, genome editing, Artificial Intelligence (AI), and Machine Learning (ML), have significantly improved this process. These technologies have made the process more accurate, less time-consuming, and cost-effective compared to the conventional methods of drug discovery and development. In the current age, discovering and developing drugs is a collaborative effort that involves scientific breakthroughs, technological advancements, and regulatory oversight. The pharmaceutical industry is constantly innovating new techniques, fostering interdisciplinary collaboration, and prioritizing patient-centered approaches. In this review, we explore the latest and most updated information about using advanced technologies in drug discovery. The review begins by briefly explaining the conventional drug discovery and development process, and then delves into the applications of multi-omics, genome editing technology, systems biology, artificial intelligence, and machine learning.

A Study on Determine How Mobile Apps can Help Promote the Growth of the Fashion Industry

The usage of smartphones has increased after covid-19 for many purposes, including shopping. Hence raising awareness about online shopping apps and their advantages to the general public will pave the way to increases sales, which leads to economic development. Technology breakthroughs and shifting customer behavior are driving a major transition in the fashion business. This paper looks at how mobile applications can help the fashion industry increase sales, improve brand engagement, and streamline processes. Nowadays, due to stiff competitor that prevails in the fashion industry, there has been a tremendous increase in the usage of social media, and the promotion of various mobile shopping apps creates a zest for processing the product. The study’s main goal is to determine how mobile apps can help promote the growth of the fashion industry. The main advantage of using mobile apps is that it saves time, and customers can always the information about different products and make comparisons easily. The study is useful for manufacturers, wholesalers, retailers and various distribution channels of the utilize mobile platforms and increase their sales and profits. We identify important characteristics of successful fashion apps, including social integration, augmented reality functions, and tailored purchasing experiences, using a mixed-methods approach incorporating case studies and survey data. According to our research, mobile applications help organizations make wise decisions by enhancing consumer satisfaction and loyalty as well as offering useful data analytics. The report offers suggestions at the end on how fashion companies might use mobile technology to achieve long-term growth.

Narratives of growth of formative technological innovation systems based on a knowledge perspective: the case of medical devices

Purpose This study aims to analyze the narratives of growth during the initial stages of development of the medical device technological innovation system (TIS). This paper used micro/nanofluidic-based point-of-care testing (mnPOCT), a breakthrough technology in the health-care sector. Design/methodology/approach This study presents a framework that includes measures of knowledge breadth and sharing mechanisms based on cognitive and actor-based networks. The framework integrates bibliometric, network and statistics-based approaches with a focus on the first decade of mnPOCT development. Findings In addition to the typical patterns of technological emergence, the mnPOCT sector exhibits distinctive characteristics. This paper observed significant scientific content and a high geographic concentration. Although small- and medium-sized enterprises, particularly startups, detonate knowledge development, large companies play a subtle yet impactful role as innovation mediators. Interfirm alliances are sparse, reflecting the complementarities between startups and large firms throughout the innovation value chain. These alliances show a significant correlation with SME knowledge creation. Research limitations/implications This study provides researchers and practitioners with guidelines for assessing the dynamics of the growth of technologies in the earliest stages of growth through knowledge and implications for research strategy toward the development and deployment of effective system interventions. Originality/value The study of formative TISs presents challenges because of the nascent characteristics and uncertainties surrounding emerging technologies. Current discussions on the narratives of growth of emerging TISs are limited to broad descriptions, which hinder understanding of these formative stages. This study offers a unique approach to assessing the initial stages of technological evolution. Moreover, it contributes to the existing literature by providing guidelines for managing new technologies for R&D researchers and practitioners.

Future Energy Breakthroughs: Implications for the Hydrocarbon Economies of the Arabian Gulf

AbstractCountries in the Arabian Gulf are reliant upon hydrocarbons for revenues, exports, industries and funding services. It is largely assumed that the global energy transition will be gradual, as reflected in planning and strategy documents. However, energy breakthroughs can change the global energy system. This Perspective article seeks to provoke a discussion about potential energy breakthroughs, the plausibility of their rapid expansion at scale, and the implications they may have for the hydrocarbon economies in the Arabian Gulf. Based upon feasibility, scalability, and adoption potential energy breakthroughs are outlined, their probability are assessed, and potential impacts on the hydrocarbon economics of the region are evaluated. The calls to actions are concluded with aim to support the region to be better prepared to track breakthroughs, and be proactively engaged to benefit from them. These include: 1) annual regional research‐policy interface meetings, 2) tailored research and development funding that fosters regional collaboration, 3) investment into breakthrough technologies and energy transition inputs, and 4) seeking synergy in economic diversification regionally to avoid duplication and counterproductive competition.

Harnessing quantum light for microscopic biomechanical imaging of cells and tissues

The biomechanical properties of cells and tissues play an important role in our fundamental understanding of the structures and functions of biological systems at both the cellular and subcellular levels. Recently, Brillouin microscopy, which offers a label-free spectroscopic means of assessing viscoelastic properties in vivo, has emerged as a powerful way to interrogate those properties on a microscopic level in living tissues. However, susceptibility to photodamage and photobleaching, particularly when high-intensity laser beams are used to induce Brillouin scattering, poses a significant challenge. This article introduces a transformative approach designed to mitigate photodamage in biological and biomedical studies, enabling nondestructive, label-free assessments of mechanical properties in live biological samples. By leveraging quantum-light-enhanced stimulated Brillouin scattering (SBS) imaging contrast, the signal-to-noise ratio is significantly elevated, thereby increasing sample viability and extending interrogation times without compromising the integrity of living samples. The tangible impact of this methodology is evidenced by a notable three-fold increase in sample viability observed after subjecting the samples to three hours of continuous squeezed-light illumination, surpassing the traditional coherent light-based approaches. The quantum-enhanced SBS imaging holds promise across diverse fields, such as cancer biology and neuroscience where preserving sample vitality is of paramount significance. By mitigating concerns regarding photodamage and photobleaching associated with high-intensity lasers, this technological breakthrough expands our horizons for exploring the mechanical properties of live biological systems, paving the way for an era of research and clinical applications.

The Ideas of Liberal Education in Changing Times

This paper examines the ideas of liberal education in the Fourth Industrial Revolution as well as artificial intelligence where technological breakthrough brings about socio-economic changes. The modern ideas of liberal education were propounded by such important thinkers as John H. Newman and J. S. Mill in the course of the previous Industrial Revolution. This paper explores how their ideas underwent reinterpretation and reconstruction in the 20th century. In particular, it discusses how the Association of American Colleges and Universities (AAC&U) emphasizes the importance of practical liberal education along with newly proposed learning outcomes and their assessment tools. It reaffirms that the traditional ideas of liberal education are still valid in these ever changing times.

Enhancing emerging technology discovery in nanomedicine by integrating innovative sentences using BERT and NLDA

Abstract Purpose Nanomedicine has significant potential to revolutionize biomedicine and healthcare through innovations in diagnostics, therapeutics, and regenerative medicine. This study aims to develop a novel framework that integrates advanced natural language processing, noise-free topic modeling, and multidimensional bibliometrics to systematically identify emerging nanomedicine technology topics from scientific literature. Design/methodology/approach The framework involves collecting full-text articles from PubMed Central and nanomedicine-related metrics from the Web of Science for the period 2013–2023. A fine-tuned BERT model is employed to extract key informative sentences. Noiseless Latent Dirichlet Allocation (NLDA) is applied to model interpretable topics from the cleaned corpus. Additionally, we develop and apply metrics for novelty, innovation, growth, impact, and intensity to quantify the emergence of novel technological topics. Findings By applying this methodology to nanomedical publications, we identify an increasing emphasis on research aligned with global health priorities, particularly inflammation and biomaterial interactions in disease research. This methodology provides deeper insights through full-text analysis and leading to a more robust discovery of emerging technologies. Research limitations One limitation of this study is its reliance on the existing scientific literature, which may introduce publication biases and language constraints. Additionally, manual annotation of the dataset, while thorough, is subject to subjectivity and can be time-consuming. Future research could address these limitations by incorporating more diverse data sources, and automating the annotation process. Practical implications The methodology presented can be adapted to explore emerging technologies in other scientific domains. It allows for tailored assessment criteria based on specific contexts and objectives, enabling more precise analysis and decision-making in various fields. Originality/value This study offers a comprehensive framework for identifying emerging technologies in nanomedicine, combining theoretical insights and practical applications. Its potential for adaptation across scientific disciplines enhances its value for future research and decision-making in technology discovery.

Breakthroughs in seismic isolation technologies for engineering structures

Breakthroughs in seismic isolation technologies for engineering structures

A Study on the Development of the Tesla Brand and Its Societal Impact

This study explores the development of the Tesla brand and its profound societal impact. As a pioneer in the global electric vehicle industry, Tesla has achieved remarkable advancements in technological innovation while attracting widespread social attention through its unique business model and marketing strategies. The study first analyzes the background and evolution of the Tesla brand and then discusses its societal impact from the perspectives of environmental protection, technological progress, industrial chain influence, and social responsibility. The results indicate that Tesla has expanded the global electric vehicle market, promoted the adoption of green energy, and shifted public perceptions of the automotive industry. Additionally, Tesla’s branding strategies have inspired innovation and marketing approaches in other companies. Despite its success in sustainability and technological breakthroughs, Tesla faces challenges in labor management and financial sustainability. This study provides valuable insights into the future development of the electric vehicle industry and calls for companies to balance technological advancements with the fulfillment of social responsibilities.

Optical Performance of Quantum Dots and Their Applications in Biomedical Imaging

Quantum dots are nanomaterials which have attracted significant focus over the past few years because of their singular optical features. They have shown great potential in the field of bioimaging. This study delves into the photonic properties of quantum dots which include good luminescence stability and broad excitation spectra. Besides, the emission wavelength can be precisely controlled. These properties make them an excellent choice for bio-imaging. The usage of quantum dots in live organism imaging, such as pinpointing cell boundaries, tracking intracellular molecular dynamics, and early disease diagnosis, indicate the immense potential of quantum dots in biomedical realm. Through modifications on the surface of quantum dots, targeted imaging can be realized, which greatly improves the specificity and sensitivity of imaging. Nonetheless, the biosafety and long-term in vivo behavior of quantum dots still need to be further investigated. Overall, the light-based attributes of quantum dots have brought breakthroughs in bio-imaging technology. In addiiton, it would foretell a bright future for quantum dots in the biomedical field.

Binding Selectivity Analysis from Alchemical Receptor Hopping and Swapping Free Energy Calculations.

We present receptor hopping and receptor swapping free energy estimation protocols based on the Alchemical Transfer Method (ATM) to model the binding selectivity of a set of ligands to two arbitrary receptors. The receptor hopping protocol, where a ligand is alchemically transferred from one receptor to another in one simulation, directly yields the ligand's binding selectivity free energy (BSFE) for the two receptors, which is the difference between the two individual binding free energies. In the receptor swapping protocol, the first ligand of a pair is transferred from one receptor to another while the second ligand is simultaneously transferred in the opposite direction. The receptor swapping free energy yields the differences in binding selectivity free energies of a set of ligands, which, when combined using a generalized DiffNet algorithm, yield the binding selectivity free energies of the ligands. We test these algorithms on host-guest systems and show that they yield results that agree with experimental data and are consistent with differences in absolute and relative binding free energies obtained by conventional methods. Preliminary applications to the selectivity analysis of molecular fragments binding to the trypsin and thrombin serine protease confirm the potential of the receptor swapping technology in structure-based drug discovery. The novel methodologies presented in this work are a first step toward streamlined and computationally efficient protocols for ligand selectivity optimization between mutants and homologous proteins.

Emerging Technological Advancement for Chronic Wound Treatment and Their Role in Accelerating Wound Healing.

Chronic wounds are a major healthcare burden and may severely affect the social, mental, and economic status of the patients. Any impairment in wound healing stages due to underlying factors leads to a prolonged healing time and subsequently to chronic wounds. Traditional approaches for the treatment of chronic wounds include dressing free local therapy, dressing therapy, and tissue engineering based scaffold therapies. However, traditional therapies need improvisation and have been advanced through breakthrough technologies. The present review spans traditional therapies and further gives an extensive account of advancements in the treatment of chronic wounds. Cutting edge technologies, such as 3D printing, which includes inkjet printing, fused deposition modeling, digital light processing, extrusion-based printing, microneedle array-based therapies, gene therapy, which includes microRNAs (miRNAs) therapy, and smart wound dressings for real time monitoring of wound conditions through assessment of pH, temperature, oxygen, moisture, metabolites, and their use for planning of better treatment strategies have been discussed in detail. The review further gives the future direction of treatments that will aid in lowering the healthcare burden caused due to chronic wounds.

Open Innovation and Regulatory Challenges in New Modality Development: The Pivotal Role of Contract Development and Manufacturing Organisations in Advancing Antibody Drugs.

Ensuring regulatory-compliant manufacturing capability is an essential challenge for new treatment modalities, but its internalisation is not easy for pharmaceutical companies, especially start-ups. This study examines the functions and requirements of contracted development and manufacturing organisations (CDMOs) using the development process of antibody medicines as a case study. Utilizing PubMed, Cortellis and Patent Integration databases, this study delves into publication and contractual trends in monoclonal antibody drugs (mAbs) development, alongside an analysis of patent filings by CDMOs, offering a comprehensive overview of the evolving landscape in mAbs innovation. In the early stages of mAbs development, dedicated bio firms (DBFs) led R&D with superior drug discovery technology but lacked manufacturing capability, which was complemented by CDMOs. This collaboration was an opportunity for CDMOs to expand their capabilities beyond manufacturing technology into antibody drug candidate discovery and structural optimisation technology. From mid-development onwards, it established a technology platform based on these capabilities and developed and established partnerships with existing pharmaceutical companies, including mega pharma. The impact of institutions and regulations on the innovation process was assessed during this development process. These findings are expected to provide valuable insights into the innovation system for new modalities.

Recent Advances in the Wearable Devices for Monitoring and Management of Heart Failure.

Heart failure (HF) is an acute and degenerative condition with high morbidity and mortality rates. Early diagnosis and treatment of HF can significantly enhance patient outcomes through admission and readmission reduction and improve quality of life. Being a progressive condition, the continuous monitoring of vital signs and symptoms of HF patients to identify any deterioration and to customize treatment regimens can be beneficial to the management of this disease. Recent breakthroughs in wearable technology have revolutionized the landscape of HF management. Despite the potential benefits, the integration of wearable devices into HF management requires careful consideration of technical, clinical, and ethical challenges, such as performance, regulatory requirements and data privacy. This review summarizes the current evidence on the role of wearable devices in heart failure monitoring and management, and discusses the challenges and opportunities in the field.

Addressing the risks of generative AI for the judiciary: The accountability framework(s) under the EU AI Act

The rapid advancements in natural language processing, particularly the development of generative large language models (LLMs), have renewed interest in using artificial intelligence (AI) for judicial decision-making. While these technological breakthroughs present new possibilities for legal automation, they also raise concerns about over-reliance and automation bias. Drawing insights from the COMPAS case, this paper examines the implications of deploying generative LLMs in the judicial domain. It identifies the persistent factors that contributed to an accountability gap when AI systems were previously used for judicial decision-making. To address these risks, the paper analyses the relevant provisions of the EU Artificial Intelligence Act, outlining a comprehensive accountability framework based on the regulation's risk-based approach. The paper concludes that the successful integration of generative LLMs in judicial decision-making requires a holistic approach addressing cognitive biases. By emphasising shared responsibility and the imperative of AI literacy across the AI value chain, the regulatory framework can help mitigate the risks of automation bias and preserve the rule of law.