Hasil untuk "Pharmaceutical industry"

Roxana Gheorghita Puscaselu, A. Lobiuc, M. Dimian et al.

Initially used extensively as an additive and ingredient in the food industry, alginate has become an important compound for a wide range of industries and applications, such as the medical, pharmaceutical and cosmetics sectors. In the food industry, alginate has been used to coat fruits and vegetables, as a microbial and viral protection product, and as a gelling, thickening, stabilizing or emulsifying agent. Its biocompatibility, biodegradability, nontoxicity and the possibility of it being used in quantum satis doses prompted scientists to explore new properties for alginate usage. Thus, the use of alginate has been expanded so as to be directed towards the pharmaceutical and biomedical industries, where studies have shown that it can be used successfully as biomaterial for wound, hydrogel, and aerogel dressings, among others. Furthermore, the ability to encapsulate natural substances has led to the possibility of using alginate as a drug coating and drug delivery agent, including the encapsulation of probiotics. This is important considering the fact that, until recently, encapsulation and coating agents used in the pharmaceutical industry were limited to the use of lactose, a potentially allergenic agent or gelatin. Obtained at a relatively low cost from marine brown algae, this hydrocolloid can also be used as a potential tool in the management of diabetes, not only as an insulin delivery agent but also due to its ability to improve insulin resistance, attenuate chronic inflammation and decrease oxidative stress. In addition, alginate has been recognized as a potential weight loss treatment, as alginate supplementation has been used as an adjunct treatment to energy restriction, to enhance satiety and improve weight loss in obese individuals. Thus, alginate holds the promise of an effective product used in the food industry as well as in the management of metabolic disorders such as diabetes and obesity. This review highlights recent research advances on the characteristics of alginate and brings to the forefront the beneficial aspects of using alginate, from the food industry to the biomedical field.

Punnita Pamueangmun, Nang Nwet Noon Kham, Apinun Kanpiengjai et al.

<i>Weizmannia coagulans</i> has emerged as a prominent probiotic candidate due to its resilience in extreme environments and therapeutic potential for non-gastrointestinal diseases, including obesity, bacterial vaginosis, and irritable bowel syndrome-related depression. This study comprehensively evaluated the probiotic properties, safety profile, and functional characteristics of <i>W. coagulans</i> strains (MA42, P13, and S5) compared with the reference strain <i>W. coagulans</i> ATCC 7050. All tested strains exhibited excellent gastrointestinal survival (>90% viability), superior auto-aggregation (up to 36.60%), hydrophobicity (up to 36.58%), and susceptibility to commonly used antimicrobials. Cell-free culture supernatants showed potent antimicrobial activity against pathogenic bacteria, including <i>Escherichia coli</i> ATCC 25922, <i>Salmonella enterica</i> serovar Typhimurium TISTR 292, and <i>Bacillus cereus</i> TISTR 747, primarily through organic acid production. Notably, strain MA42 uniquely inhibited the growth of <i>Staphylococcus aureus</i> TISTR 746. All strains showed negative hemolytic activity, confirming their safety profile. <i>W. coagulans</i> MA42 distinguished itself through exceptional metabolic versatility, demonstrating vigorous growth on diverse complex dietary fibers and prebiotics, with significant production of beneficial organic acids, particularly lactic and acetic acids. This superior fermentation capacity correlated directly with elevated extracellular-enzyme activities. Furthermore, all strains maintained excellent viability (>90% recovery) after freeze-drying with maltodextrin as a cryoprotectant, indicating industrial scalability.

Sin-Min Li, Yuen-Sing Lee, Kuan-Ying Huang et al.

Keitty Regina Cordeiro de Andrade, Ricardo Ribeiro Alves Fernandes, Everton Nunes da Silva et al.

Background: Ultra-rare diseases pose unique challenges for the economic evaluation of health technologies due to the scarcity of robust evidence, high uncertainty, and often elevated costs. Objective: To identify and characterize the economic modeling approaches used in the evaluation of health technologies in the context of ultra-rare diseases. Methods: This is a rapid scoping review that will be conducted in accordance with the Joanna Briggs Institute methodological guidance. Conceptual studies, methodological papers, and systematic reviews addressing models, methods, adaptations, and alternative proposals for economic evaluation in this context will be included. The search will be performed in major secondary databases, as well as sources of grey literature. The selection process will involve independent screening by pairs and cross-checking of exclusions. Data extraction will follow a pre-tested form. Results will be presented narratively, in tables, and graphically, describing the types of economic modeling identified, their methodological characteristics, and the main reported limitations. Expected Results: This synthesis is expected to help inform decision-makers, researchers, and health technology assessment agencies about more appropriate and transparent approaches for incorporating technologies targeting ultra-rare diseases. Conclusion: The findings may guide both researchers and policymakers on more appropriate strategies for incorporating technologies aimed at small and clinically complex populations, promoting practices that balance economic efficiency, equity, and sustainability of health systems.

Kasra Ekrad, Bjarne Johansson, Inés Alvarez Vadillo et al.

Interoperability across industrial automation systems is a cornerstone of Industry 4.0. To address this need, the OPC Unified Architecture (OPC UA) Publish-Subscribe (PubSub) model offers a promising mechanism for enabling efficient communication among heterogeneous devices. PubSub facilitates resource sharing and communication configuration between devices, but it lacks clear guidelines for mapping diverse industrial traffic types to appropriate PubSub configurations. This gap can lead to misconfigurations that degrade network performance and compromise real-time requirements. This paper proposes a set of guidelines for mapping industrial traffic types, based on their timing and quality-of-service specifications, to OPC UA PubSub configurations. The goal is to ensure predictable communication and support real-time performance in industrial networks. The proposed guidelines are evaluated through an industrial use case that demonstrates the impact of incorrect configuration on latency and throughput. The results underline the importance of traffic-aware PubSub configuration for achieving interoperability in Industry 4.0 systems.

Luciane Piva Klein, Diogo Pilger

Objective: To carry out an integrative review of studies that identified indicators of struc-ture, process and results in medication storage locations in Primary Health Care in Bra-zil. Methods: This is an integrative review carried out based on research in the ME DLINE/PubMed, LILACS, SciELO, Theses and Dissertations Catalog CAPES and Google Scholar databases, of national studies and without temporal limitations. Results: Nine teen studies were included, in eighteen (95%) the structure indicator was addressed, in fourteen (74%) the results indicator and in twelve (63%) the process indicator. Structure indicators were addressed in relation to adequacy to good storage practices, human resources and the presence of other structural parameters. The study approach to pro-cess indicators was related to stock control and the medication inspection procedure upon receipt. The results indicators addressed the availability of medicines, presence of expired medicines and technical-sanitary documentation. Two studies (10%) addressed exclusively the Pharmaceutical Supply Center (CAF) and the others were conducted si-multaneously in pharmacies in Basic Health Units. Conclusion: The work describes the criteria related to structure, process and results indicators frequently used to evaluate CAFs and medication storage locations, with structural indicators being more recurrent. The data presented contribute to the creation of specific assessment instruments for CAF, given the lack of information on storage conditions in these locations.

Azmine Toushik Wasi, Enjamamul Haque Eram, Sabrina Afroz Mitu et al.

Industry 5.0 marks a new phase in industrial evolution, emphasizing human-centricity, sustainability, and resilience through the integration of advanced technologies. Within this evolving landscape, Generative AI (GenAI) and autonomous systems are not only transforming industrial processes but also emerging as pivotal geopolitical instruments. We examine strategic implications of GenAI in Industry 5.0, arguing that these technologies have become national assets central to sovereignty, access, and global influence. As countries compete for AI supremacy, growing disparities in talent, computational infrastructure, and data access are reshaping global power hierarchies and accelerating the fragmentation of the digital economy. The human-centric ethos of Industry 5.0, anchored in collaboration between humans and intelligent systems, increasingly conflicts with the autonomy and opacity of GenAI, raising urgent governance challenges related to meaningful human control, dual-use risks, and accountability. We analyze how these dynamics influence defense strategies, industrial competitiveness, and supply chain resilience, including the geopolitical weaponization of export controls and the rise of data sovereignty. Our contribution synthesizes technological, economic, and ethical perspectives to propose a comprehensive framework for navigating the intersection of GenAI and geopolitics. We call for governance models that balance national autonomy with international coordination while safeguarding human-centric values in an increasingly AI-driven world.

A. R. Pina, Shams El-Adawy, H. J. Lewandowski et al.

Quantum Information Science and Engineering (QISE) education and workforce development are top priorities at the national level in the US. This has included a push for academia to support the development of programs that will prepare students to enter the QISE workforce. As the field of QISE has grown rapidly in academia and industry, there is a need to better understand what quantum knowledge is needed for students to be ready for the workforce. We present preliminary findings on the level of quantum expertise and the specific quantum knowledge utilized across different roles, and in the execution of specific tasks in the QISE industry. Qualitative analysis of semi-structured interviews with industry professionals elucidates these aspects of the vital work functions related to the ongoing development of quantum technologies in industry. This work will provide insights into QISE curriculum development and changes needed to better support students transitioning into this growing industry.

Shams El-Adawy, A. R. Piña, Benjamin M. Zwickl et al.

As the quantum information science and engineering (QISE) workforce grows, there is an anticipated need for professionals with bachelor's and master's degrees who can fill a wide range of roles in the quantum industry. This report identifies the experimental skills needed for individuals with bachelor's or master's degrees to succeed in quantum industry roles. Through semi-structured interviews with quantum industry employers, we gathered data on 22 distinct positions spanning hardware, software, and business functions. While employers describe varying expectations of quantum expertise, the unifying requirement across these roles is proficiency in experimental skills, which fall into four key categories: instrumentation, computation and data analysis, experimental and project design, as well as communication and collaboration. Positions open to bachelor's and master's graduates use all four skill areas, but the balance of experimental skill set needed differs. Bachelor's roles lean toward instrumentation, computation and data analysis, as well as experimental and project design skills. Individuals in these roles build, operate, and troubleshoot hardware, and they gather and interpret data to design and carry out experiments. Master's roles stand out with the communication and collaboration skills needed on top of the other three skill categories. Individuals in these roles oversee experiments, coordinate teams, and align efforts with company and client needs. By articulating experimental skills needed for bachelor's and master's roles in the quantum industry, this report provides actionable insights for educators developing QISE courses and programs.

Olga Meyer, Marvin Boell, Christoph Legat

The rapid development of Industry 4.0 technologies requires robust and comprehensive standardization to ensure interoperability, safety and efficiency in the Industry of the Future. This paper examines the fundamental role and functionality of standardization, with a particular focus on its importance in Europe's regulatory framework. Based on this, selected topics in context of standardization activities in context intelligent manufacturing and digital twins are highlighted and, by that, an overview of the Industry 4.0 standards framework is provided. This paper serves both as an informative guide to the existing standards in Industry 4.0 with respect to Artificial Intelligence and Digital Twins, and as a call to action for increased cooperation between standardization bodies and the research community. By fostering such collaboration, we aim to facilitate the continued development and implementation of standards that will drive innovation and progress in the manufacturing sector.

Preeti Kulkarni, Charmy Kothari

Myrianne Barbosa, Cláudia Lorea, Camila Azevedo et al.

Introdução A aderência aos Protocolos Clínicos e Diretrizes Terapêuticas (PCDT) é vital para o tratamento eficaz de doenças raras como a Fenilcetonúria (PKU). No entanto, a discrepância entre a teoria e a prática é um desafio constante. Neste estudo, utilizamos o método TDABC, via plataforma TPValue, para avaliar a aderência ao protocolo de tratamento da PKU, visando gerenciar a adoção dos padrões de tratamento estabelecidos pelos PCDTs. Métodos Adotamos uma abordagem que combina o TDABC, uma técnica de custeio baseada em atividades, com o TPValue, uma plataforma de apoio à gestão. Mapeamos a jornada assistencial (conforme estabelecido pelo PCDT) e a de valor (JAV-RARAS) para a PKU, quantificando o tempo e recursos envolvidos em cada etapa do tratamento. Através da TPValue, estruturamos os dados coletados, simplificando a análise dos processos. Este estudo foi financiado pelo Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) e pelo Ministério da Saúde MS - CNPq/MS Nº 25/2019. Resultados Os resultados preliminares revelam discrepâncias entre o PCDT, e a realidade clínica, no SUS, via o TDABC e a TPValue. Os resultados indicam que as atividades que compõem diagnóstico, o tratamento e os recursos empregados frequentemente não coincidem com o proposto pelo protocolo vigente. Por exemplo, enquanto o TDABC indica que no tratamento há uma alocação de 98,9% para medicamentos e 1,1% para não medicamentos, o PCDT atribui uma alocação de 100% para medicamentos. Além disso, a alocação percentual de recursos ao longo das diferentes etapas da jornada do paciente também apresenta variações significativas. No PCDT, 95,8% dos recursos são alocados para o tratamento, 0,66% para o diagnóstico e 3,2% para o acompanhamento. No entanto, de acordo com o TDABC, a alocação é distribuída de forma diferente: 1,94% para o diagnóstico, 93,1% para o tratamento e 4,74% para o acompanhamento. Outro aspecto relevante é a origem dos recursos, enquanto o PCDT indica que 97,7% dos recursos são provenientes do próprio paciente, 1,08% do Centro e 1,14% do SUS, o TDABC evidencia uma distribuição distinta, com 95,9% dos recursos sendo atribuídos ao paciente, 3,05% ao Centro e 1,02% ao SUS. Discussão e conclusões A aplicação inovadora do TDABC via TPValue oferece uma perspectiva entre o definido no PCDT, e a prática diária real no tratamento da PKU. Essa abordagem pode reformular os PCDTs, permitindo uma abordagem mais precisa e eficiente no gerenciamento dos recursos e jornada das doenças raras. Ainda, usando esta abordagem de vida real é possível mensurar desfechos centrados nos pacientes e os custos reais dos PCDTs. Essa abordagem tem o potencial de melhorar o gerenciamento dos PCDTS, melhorar a eficácia dos cuidados, a gestão de recursos e a qualidade de vida dos pacientes.

Raphael Hiesgen, Marcin Nawrocki, Marinho Barcellos et al.

Motivated by the impressive but diffuse scope of DDoS research and reporting, we undertake a multistakeholder (joint industry-academic) analysis to seek convergence across the best available macroscopic views of the relative trends in two dominant classes of attacks - direct-path attacks and reflection-amplification attacks. We first analyze 24 industry reports to extract trends and (in)consistencies across observations by commercial stakeholders in 2022. We then analyze ten data sets spanning industry and academic sources, across four years (2019-2023), to find and explain discrepancies based on data sources, vantage points, methods, and parameters. Our method includes a new approach: we share an aggregated list of DDoS targets with industry players who return the results of joining this list with their proprietary data sources to reveal gaps in visibility of the academic data sources. We use academic data sources to explore an industry-reported relative drop in spoofed reflection-amplification attacks in 2021-2022. Our study illustrates the value, but also the challenge, in independent validation of security-related properties of Internet infrastructure. Finally, we reflect on opportunities to facilitate greater common understanding of the DDoS landscape. We hope our results inform not only future academic and industry pursuits but also emerging policy efforts to reduce systemic Internet security vulnerabilities.

Naser Mehrdadi, Afshin Takdastan, laleh Khosravipour et al.

Nowadays, the contamination of water resources with antibiotics are known as one of the major pollutants in the environment due to their widespread use, toxicity, causing drug resistance, and lasting effects. This study was designed to evaluate the efficiency of the advanced oxidation process of sodium persulfate activated with steel industry slag in the presence of ultraviolet rays, solution temperature, and pH aimed at eliminating the Azithromycin antibiotic from aqueous and effluent media. In the present study, the effect of the variables, including pH, solution temperature, reaction time, initial concentration of antibiotics, sodium persulfate concentration, and UV ray intensity was examined on the process efficiency. A High-Performance Liquid Chromatography (HPLC) machine was also used to measure the concentration of the Azithromycin antibiotic. According to the study results, under optimal and certain conditions in which sodium persulfate: 2 mM, pH: 2, iron ions level in the steel industry slag: 0.4 g/l, UV intensity: 8 watts, and during 60 minutes, the elimination efficiency rates of Azithromycin antibiotic, COD, and TOC were obtained as 91%, 57/4%, and 43/8%, respectively with a mineralization level higher than 55%. The rate of Azithromycin antibiotic removal was directly related to the concentrations of iron ions, sodium persulfate, UV intensity, and the temperature. However, increase in the pH from 2 to 10 led to decrease in the process efficiency from 81% to 43%, and enhance in the initial concentration of Azithromycin antibiotic from 5 to 50 mg/l also reduced the removal rate of the antibiotic from 73% to 43%. The research revealed that the advanced oxidation process of sodium persulfate activated by steel industry slag in the presence of ultraviolet rays can be used as a proper method with high efficiency to eliminate the high concentration of antibiotics found in a real sewage sample.

B. Prabadevi, N. Deepa, Nancy Victor et al.

With the advent of new technologies and endeavors for automation in almost all day-to-day activities, the recent discussions on the metaverse life have a greater expectation. Furthermore, we are in the era of the fifth industrial revolution, where machines and humans collaborate to maximize productivity with the effective utilization of human intelligence and other resources. Hence, Industry 5.0 in the metaverse may have tremendous technological integration for a more immersive experience and enhanced communication.These technological amalgamations are suitable for the present environment and entirely different from the previous perception of virtual technologies. This work presents a comprehensive review of the applications of the metaverse in Industry 5.0 (so-called industrial metaverse). In particular, we first provide a preliminary to the metaverse and industry 5.0 and discuss key enabling technologies of the industrial metaverse, including virtual and augmented reality, 3D modeling, artificial intelligence, edge computing, digital twin, blockchain, and 6G communication networks. This work then explores diverse metaverse applications in Industry 5.0 vertical domains like Society 5.0, agriculture, supply chain management, healthcare, education, and transportation. A number of research projects are presented to showcase the conceptualization and implementation of the industrial metaverse. Furthermore, various challenges in realizing the industrial metaverse, feasible solutions, and future directions for further research have been presented.

Kashif Ishaq, Fatima Khan

The possibility of block chain innovation revolutionizing business operations and interpersonal interactions in Industry 4.0 is becoming more widely acknowledged. Industry 4.0 and the Industrial Internet of Things (IoT) are among the new application fields. As a result, the purpose of this article is to investigate the block chain applications that are already being used in IoT and Industry 4.0. In particular, it looks at current research trends in various IoT applications, addressing problems, concerns, and potential future uses of integrating block chain technology. This article also includes a thorough discussion of the key elements of block chain databases, including Merkle trees, transaction management, sharding, long-term memory, and short-term memory. In order to do this, more than 46 pertinent primary research that have been published in reputable journals have been chosen for additional examination. The workflow of a block chain network utilizing IoT is also demonstrated, demonstrating how IoT devices communicate with one another and how they contribute to the network's overall operation. The taxonomy diagram below serves to illustrate the contribution.

Ahmad Hakimi, Hiwa Farughi, Amirhossein Amiri et al.

In some statistical processes monitoring (SPM) applications, relationship between two or more ordinal factors is shown by an ordinal contingency table (OCT) and it is described by the ordinal Log-linear model (OLLM). Newton-Raphson algorithm methods have also been used to estimate the parameters of the log-linear model. In this paper, the OLLM based processes is monitored using MR and likelihood ratio test (LRT) approaches in Phase I. Some simulation studies are applied to performance evaluation of the proposed approaches in terms of probability of signal under step shifts, drifts and the presence of outliers. Results show that, by imposing the small and moderate shifts in the ordinal log-linear model parameters, the MR statistic has better performance than LRT. In addition, a real case study in dissolution testing in pharmaceutical industry is employed to show the application of the proposed control charts in Phase I.

Hannah Carruthers, Don Clark, Fiona C. Clarke et al.

Vibrational spectroscopic chemical imaging is a powerful tool in the pharmaceutical industry to assess the spatial distribution of components within pharmaceutical samples. Recently, the combination of vibrational spectroscopic chemical mapping with serial sectioning has provided a means to visualise the three-dimensional (3D) structure of a tablet matrix. There are recognised knowledge gaps in current tablet manufacturing processes, particularly regarding the size, shape and distribution of components within the final drug product. The performance of pharmaceutical tablets is known to be primarily influenced by the physical and chemical properties of the formulation. Here, we describe the data processing methods required to extract quantitative domain size and spatial distribution statistics from 3D vibrational spectroscopic chemical images. This provides a means to quantitatively describe the microstructure of a tablet matrix and is a powerful tool to overcome knowledge gaps in current tablet manufacturing processes, optimising formulation development.

Emdormi Rymbai, Deepa Sugumar, Dhritiman Roy et al.

Estrogen receptors are nuclear receptors that play a major role in both physiology and pathology. Estrogen receptor subtypes are currently divided into three groups: estrogen receptor alpha (ERα), estrogen receptor beta (ERβ), and G protein-coupled estrogen receptor 1 (GPER1 or formerly known as GPR30 or GPRx, a membrane-bound receptor). Overexpression of ERα and GPER1 are known to contribute to cancer, with ERα playing the most important impact. On the other hand, it is commonly acknowledged that ERβ inhibits ERα activity and has anti-cancer properties. As a result, the estrogen receptors ERα and ERβ are the most investigated, with ERα being recognized therapeutically as a therapeutic target for breast cancer. Unlike ERα, which must be blocked, ERβ is a target that has anti-cancer properties when activated. The potential anti-cancer efficacy of ERβ has been demonstrated in several pre-clinical and clinical investigations. In this review, we summarize the potential role of ERβ and ERβ agonists in various cancers.

Emanuel Lacic, Dominik Kowald

In this industry talk at ECIR'2022, we illustrate how to build a modern recommender system that can serve recommendations in real-time for a diverse set of application domains. Specifically, we present our system architecture that utilizes popular recommendation algorithms from the literature such as Collaborative Filtering, Content-based Filtering as well as various neural embedding approaches (e.g., Doc2Vec, Autoencoders, etc.). We showcase the applicability of our system architecture using two real-world use-cases, namely providing recommendations for the domains of (i) job marketplaces, and (ii) entrepreneurial start-up founding. We strongly believe that our experiences from both research- and industry-oriented settings should be of interest for practitioners in the field of real-time multi-domain recommender systems.