Innovative Technologies Research Articles

Boosting firms’ absorptive capacity: the digital technologies edge

PurposeThis study aims to explore how firms can enhance their innovation processes by effectively utilizing external knowledge and employing digital technologies. Specifically, it emphasizes the role of absorptive capacity (ACAP) in external knowledge acquisition and assimilation (potential ACAP), as well as transformation and exploitation (realized ACAP), highlighting the necessity of equipping firms with digital technologies to support ACAP activities.Design/methodology/approachTo achieve the research purpose, we conducted a structured literature review of academic papers sourced from Scopus-Elsevier.FindingsThe key findings encompass the identification of common digital technologies supporting ACAP and explore how these technologies contribute to knowledge acquisition, assimilation, transformation and exploitation. The main results show that social media and online communities are the most studied technologies in relation to ACAP activities. Research predominantly centres on potential ACAP – with acquisition activity more studied than assimilation – rather than realized ACAP – with only social media and online communities demonstrating full support for transformation and exploitation activities.Research limitations/implicationsThis research represents a pioneering joint study of ACAP and digital technologies, advancing understanding beyond organizational perspectives and expanding open innovation literature by integrating ACAP role in technology collaborations. A call for qualitative investigations into the relationship between digital technologies and ACAP emerged.Practical implicationsThe findings offer valuable guidance to innovation managers, aiding them in selecting appropriate digital technologies to strengthen ACAP activities.Originality/valueThis work’s uniqueness lies in bridging the gaps between open innovation, ACAP and digital technologies, which are often studied in isolation.

Application of 3D Printing in Cleft Lip and Palate Repair.

This manuscript reviews the transformative impact of 3-dimensional (3D) printing technologies in the treatment and management of cleft lip and palate (CLP), highlighting its application across presurgical planning, surgical training, implantable scaffolds, and postoperative care. By integrating patient-specific data through computer-aided design and manufacturing, 3D printing offers tailored solutions that improve surgical outcomes, reduce operation times, and enhance patient care. The review synthesizes current research findings, technical advancements, and clinical applications, illustrating the potential of 3D printing to revolutionize CLP treatment. Further, it discusses the future directions of combining 3D printing with other innovative technologies like artificial intelligence, 4D printing, and in situ bioprinting for more comprehensive care strategies. This paper underscores the necessity for multidisciplinary collaboration and further research to overcome existing challenges and fully utilize the capabilities of 3D printing in CLP repair.

Environmental stewardship in the oil and gas sector: Current practices and future directions

This paper provides an overview of the current practices and future directions in environmental stewardship within the oil and gas industry, focusing on key areas of concern and strategies for improvement. The oil and gas industry has made significant strides in environmental stewardship in recent years, driven by a combination of regulatory requirements, corporate initiatives, and stakeholder pressure. One of the primary areas of focus has been the reduction of greenhouse gas emissions associated with extraction, refining, and transportation processes. Companies have implemented technologies such as carbon capture and storage to minimize their carbon footprint, alongside investments in renewable energy sources and energy efficiency measures to transition towards cleaner energy alternatives. Furthermore, the industry has placed increasing emphasis on the responsible management of water resources, recognizing the potential environmental impacts of water extraction and usage in oil and gas operations. Strategies for water recycling, reuse, and wastewater treatment have been adopted to mitigate pollution and minimize strain on local ecosystems. Biodiversity conservation has also emerged as a critical aspect of environmental stewardship in the oil and gas sector, with companies undertaking environmental impact assessments and collaborating with conservation organizations to minimize habitat disruption and restore ecosystems affected by their operations. Community engagement and social responsibility are integral components of environmental stewardship, with companies seeking to address the social impacts of their operations through employment opportunities, infrastructure development, and social programs benefiting local communities. However, the industry continues to face challenges and limitations in its efforts to minimize environmental impact. Accidental spills, leaks, and other incidents pose significant ecological risks, highlighting the importance of stringent safety regulations and emergency response protocols. Moreover, the transition to renewable energy presents challenges for traditional oil and gas companies, requiring substantial capital investment and strategic planning. To address these challenges and advance environmental stewardship, several future directions are proposed. These include accelerating the transition to renewable energy, enhancing transparency and accountability in reporting environmental performance, strengthening environmental regulations and enforcement, investing in research and development of innovative technologies, and fostering collaboration among industry stakeholders, governments, NGOs, and local communities. Keywords: Stewardship, Oil, Gas, Sustainability, Climate, Mitigation

Crop Yield Prediction using Machine Learning

Weather profoundly impacts agricultural outcomes, making accurate crop prediction vital for farmers' decision-making. This abstract presents a comprehensive overview of weather-based crop prediction, emphasizing its significance, key components, and methodologies. The process begins with the collection and analysis of historical weatherdata encompassing variables such as temperature, precipitation, humidity, and sunlight. Utilizing Python programming and data visualization libraries like Pandas and Matplotlib facilitates the exploration and visualization of this data, revealing trends and patterns. Machine learning algorithms, including regression and ensemble methods, are employedto develop predictive models. These models leverage historical weather data to forecast future crop yields accurately. Python's extensive libraries, such as Scikit-learn and TensorFlow, offer robust tools for model development and evaluation. Incorporating advanced technologies like remote sensing and satellite imagery further refines the prediction process. These tools provide real-time insights into crop health and growth, enhancing the precision of forecasts. Ultimately, weather-based crop prediction serves as a valuable decision support tool for farmers, enabling informed choices regarding planting, irrigation, and harvesting practices. By harnessing historical weather data, machine learning algorithms, and innovative technologies, stakeholders can optimize agricultural productivity, mitigate risks, and contribute to global food security

Digital biomarkers: 3PM approach revolutionizing chronic disease management — EPMA 2024 position

AbstractNon-communicable chronic diseases (NCDs) have become a major global health concern. They constitute the leading cause of disabilities, increased morbidity, mortality, and socio-economic disasters worldwide.Medical condition-specific digital biomarker (DB) panels have emerged as valuable tools to manage NCDs. DBs refer to the measurable and quantifiable physiological, behavioral, and environmental parameters collected for an individual through innovative digital health technologies, including wearables, smart devices, and medical sensors. By leveraging digital technologies, healthcare providers can gather real-time data and insights, enabling them to deliver more proactive and tailored interventions to individuals at risk and patients diagnosed with NCDs.Continuous monitoring of relevant health parameters through wearable devices or smartphone applications allows patients and clinicians to track the progression of NCDs in real time. With the introduction of digital biomarker monitoring (DBM), a new quality of primary and secondary healthcare is being offered with promising opportunities for health risk assessment and protection against health-to-disease transitions in vulnerable sub-populations. DBM enables healthcare providers to take the most cost-effective targeted preventive measures, to detect disease developments early, and to introduce personalized interventions. Consequently, they benefit the quality of life (QoL) of affected individuals, healthcare economy, and society at large.DBM is instrumental for the paradigm shift from reactive medical services to 3PM approach promoted by the European Association for Predictive, Preventive, and Personalized Medicine (EPMA) involving 3PM experts from 55 countries worldwide. This position manuscript consolidates multi-professional expertise in the area, demonstrating clinically relevant examples and providing the roadmap for implementing 3PM concepts facilitated through DBs.

Exploring FSO link performance in varied atmospheric conditions to optimize 5G communication with a polarized quasi-diffuse transmitter

Abstract Free space optical (FSO) communication is an innovative technology that holds immense promise for numerous applications thanks to its high data transmission rates, rapid scalability, cost-effectiveness, superior security, and comprehensive capacity access techniques for Gbps data transmission. FSO communication relies on the Earth’s atmosphere as the medium, which introduces atmospheric disturbances that have driven the development of spatial diversity techniques aimed at enhancing the technology’s performance. Our proposed system employs a polarized quasi-diffused system with a fork as a spatial diversity scheme, which eliminates the need for multiple transmitters. We have developed a model that integrates both simulation designs to achieve optimal results. The proposed model has demonstrated excellent performance under various atmospheric turbulences, including rain, fog, and haze, exhibiting a very high maximum quality factor, improved received power, and better bit error rate (BER). Finally, we have obtained, analyzed, and extensively discussed the simulation results to provide a comprehensive understanding of the proposed model’s potential benefits. Our simulations show a maximum quality factor of 23 compared to existing models in much better, a 34 % increase in received power, and a 31 % decrease in BER compared to existing models. These results highlight the potential benefits of the proposed model for FSO communication systems.

ProQuiz

ProQuiz is an app designed for educational purposes, specifically to help users prepare for multiple-choice exams, especially in the field of computer science. The app aims to make studying enjoyable by incorporating elements of gamification. The primary objective of ProQuiz is to assist users in getting ready for subjective tests used in admissions and recruitment processes, with a focus on the computer science domain. The app is organized into three main modules: computer science, reasoning, and analytical skills. Each of these modules covers various sub-categories to address different subjects. During the quiz, users have access to helpful features such as hints, the ability to skip questions, and a pause/life-lines option. These features can be used only once per user. The app also provides feedback on progress throughout the quiz, and upon completion, it displays the user's results. The overall aim is to provide users with an engaging platform for practicing and enhancing their knowledge in a variety of subjects related to computer science. This research paper examines the development and effectiveness of ProQuiz. Through user testing and analysis, we evaluate its usability and engagement. Additionally, we propose enhancements, including personalized learning paths and social features. This paper contributes insights into innovative educational technology and suggests avenues for future improvement of ProQuiz.

Therapies go digital. What drives physicians' acceptance?

National healthcare systems face multiple challenges, including the increasing demand for care and decreasing availability of healthcare professionals. Digital health technologies represent opportunities that offer improved efficiency, accessibility, and patient care. In this scenario, Digital Therapeutics are technological advancements to treat or alleviate a disease and deliver a medical intervention with evidence-based therapeutic impacts and regulatory approval. Digital Therapeutics are a paradigm shift for physicians, who exercise caution in terms of trust and wide usage. Digital Therapeutics represents an opportunity and a challenge in healthcare system integration. The research investigates the factors explaining physicians' acceptance of Digital Therapeutics. A research model that combines organizational mechanisms derived from Institutional Theory and rational factors derived from the Technology Acceptance model was developed. The model was tested through 107 responses from a survey distributed to the members of the leading Italian scientific society in Diabetology. Literature-based hypotheses were empirically tested through Structural Equation Modelling. The analysis confirmed the influence of Perceived Ease of Use on Perceived Usefulness and Perceived Usefulness on the Intention To Use Digital Therapeutics. Rules and norms impact Perceived Usefulness when considering the influence of the scientific society. Culture and mindset towards innovation within the hospital positively affect Perceived Ease of Use. The readiness of hospital facilities enhances the extent to which physicians perceive the ease of employing Digital Therapeutics in their daily practice. Instead, esteemed colleagues' opinions and guidelines from the scientific society reveal to physicians the value of Digital Therapeutics in patients' care pathways. Institutions should prioritize cultural, normative, and regulative aspects to accelerate physicians' endorsement of Digital Therapeutics. Findings advance the theoretical knowledge around clinicians' adoption of innovative digital health technologies, unveiling the interaction between rational and institutional factors. The results highlight practical implications for healthcare institutions and Digital Therapeutics manufacturers willing to promote their adoption.

Application of Digital Twin in Electric Vehicle Powertrain: A Review

Digital Twin (DT) is widely regarded as a highly promising technology with the potential to revolutionize various industries, making it a key trend in the Industry 4.0 era. In a cost-effective and risk-free setting, digital twins facilitate the interaction and merging of the physical and informational realms. The application of digital twins spans across different sectors, including aerospace, healthcare, smart manufacturing, and smart cities. As electric vehicles have experienced rapid growth, there is a growing demand for the development of innovative technologies. One potential area for digital twins application is within the automotive sector. The powertrain system of electric vehicles (EVs) consists of three parts, power source, power electronic system, and electric motor, which are considered as the core components of electric vehicles. The focus of this paper is to conduct a methodical review regarding the use of digital twins in the powertrain of electric vehicles (EVs). While reviewing the development of digital twin technology, its main application scenarios and its use in electric vehicle powertrains are analysed. Finally, the digital twins currently encounter several challenges that need to be addressed, and so the future development of their application to electric vehicles are summarized.

INNOVATIVE TECHNOLOGY FOR THE CONSTRUCTION OF A PYLON STATION OF THE METRO BASED ON THE EXPERIENCE OF USING NATM

Purpose. For quite a long time, the metro station of the pylon type of deep contour interval was considered an underground structure that no longer has development potential. However, after the introduction of innovative technologies during the construction of the Dnipro metro, in particular the New Austrian Tunneling Method (NATM), this design is being used again and has developed further use. The purpose of the scientific article is to analyze innovations in the technology of construction of a three-vaulted pylon metro station from precast reinforced concrete using NATM, which require scientific justification. Methodology. In order to achieve the goal, the traditional technology of constructing a deep contour interval pylon station was revised. An analysis of the features of NATM, which allow it to be used during the construction of a pylon station in strong rock, has been carried out. A step-by-step analysis of the construction of the station was implemented with the involvement of mathematical modeling based on the finite element method. For this purpose, a number of finite-element models of each stage of construction of a pylon-type station have been created. After the numerical analysis, the indicated models were adjusted in accordance with the changes associated with the new construction technology. Findings. The value of the stress-strain state of the pylon station was obtained during the numerical analysis of each stage of construction. Stress analysis proves the possibility of applying innovative construction technology in the case of a pylon station. Originality. On the basis of the performed numerical analysis of the phased construction of a pylon station based on NATM, dependencies were obtained that allow revising the existing concept of the construction of this type of station in strong rocks. The obtained data justify the application of NATM and release the potential of the analyzed underground structure. Practical value. The substantiation of the innovative technology based on NATM allows expanding the scope of its application and successfully carrying out the construction of such complex underground facilities.

Thermal-hydraulic and structural analyses of an additive manufactured panel mock-up for Wendelstein7-X

After the successful short pulse operation phase 1 (OP1) of the stellarator Wendelstein 7-X with maximal plasma energies of 200 MJ, the upcoming long pulse OP2 aims at stepwise higher energies up to 18 GJ. A series of the stainless steel wall protection panels is positioned behind the divertor pumping gaps for average stationary heat loads of 100 kW/m². These panels were produced by electron beam welding of stainless steel parts to build the housing of the cooling channels. This technology was more demanding than foreseen due the complicated 3D weld seams required by the shaping of the panels. An innovative technology which is more adapted to the panel geometry is additive manufacturing. It intends to bring significant advantages by printing the housing as a single piece without welds.The paper introduces the thermal-hydraulic and structural analyses of an additive manufactured panel mock-up performed with ANSYS V2022R2. The purpose of the calculation is to compare the thermal, hydraulic and structural performance of the improved design based on additive manufacturing and the present one. The welding process dictated the design of the cooling channel that induced local recirculation areas, additional local pressure drops, non well cooled areas for weld seams integration. In addition the weld strength assessment required special codes and methods, which cost more time and efforts. Without these constraints, additive manufacturing offers the opportunity of more freedom for the design of the cooling channel to reach better heat transfer performance of the panel.

DEVELOPMENT OF INNOVATIVE TECHNOLOGIES IN CONSTRUCTION AND CIVIL ENGINEERING IN THE CONTEXT OF DIGITALIZATION OF THE UKRAINIAN ECONOMY

Purpose. Construction and civil engineering, traditionally perceived as conservative industries, also feel the need to adapt to the demands of the time and introduce innovative technologies. Ukraine, entering the era of digital transformation, is actively developing and implementing new technologies in the construction industry. Therefore, systematization and coverage of key aspects of the impact of digital Transformation into the construction industry and civil engineering in Ukraine is the main task today. Methodology. The introduction of Internet of Things technologies in the construction industry expands the possibilities of building control and management. Findings. Sensors located in different parts of the structures allow you to monitor the condition of the building in real time, identify possible problems and ensure the safety of objects. Artificial intelligence is becoming an integral part of the digital transformation of construction. Machine learning algorithms help predict and optimize construction processes, which increases Efficiency of planning and resource management. The 3D printing system in construction is one of the promising and revolutionary innovations that is already influencing traditional approaches to construction processes. This digital technique will bring significant changes to the field of construction, accelerating and optimizing a number of stages from design to execution Originality. Analysis of current problems, especially now, in the difficult times of war, industrial construction in Ukraine, as well as around the world, is a promising direction for the development of other industries in general. Industrial construction is an important branch of the construction industry that specializes in the creation and operation of buildings and infrastructure facilities for industrial needs. Practical value. The introduction of innovative technologies in construction and civil engineering in the context of digitalization of the Ukrainian economy has a significant practical impact on various aspects of the industry: Improving Construction Productivity and Quality: Use of digital technologies such as the Internet of Things (IoT), artificial intelligence (AI), virtual reality (VR) and augmented reality (AR), allows you to increase the efficiency of construction processes, reduce the time of work and avoid errors; Cost optimization: Using machine learning algorithms to predict resource needs, such as materials and labor, allows you to rationalize costs and reduce construction costs.

Automated detection and tracking of photovoltaic modules from 3D remote sensing data

This study addresses the growing demand for increased performance and reliability of photovoltaic (PV) installations by developing innovative monitoring technologies. The strategy consists of flying an unmanned aerial vehicle (UAV) equipped with a dual camera (RGB and thermal) over the PV plant of interest, followed by the generation of photogrammetric 3D models derived from the overlapped aerial images. The resulting datasets involve orthoimages and point clouds by processing RGB and thermal imagery. The key contribution of this study is twofold: (1) the thermal image mapping on dense and high-resolution point clouds that represent the status and geometry of PV solar modules, and (2) the automatic identification of individual solar panels in 3D space and their thermal characterization along their oriented surface. Then, the vector layer of each PV panel is projected onto the 3D thermal point cloud to extract the thermal values associated with each panel. To evaluate the capability of the proposed method, it was replicated in different scenarios, considering rural and urban environments with different light conditions and PV structures. The results demonstrate the robustness of our method, which achieves a remarkably high detection rate, around 99.12% of true positives, and a low false positive rate, close to 0.88%. Consequently, this method means an advance over previous work by proposing a comprehensive and automated solution for individual and highly detailed monitoring of each solar panel from 3D remotely sensed data. This study opens up new frontier research related to real-time monitoring of photovoltaic modules, an inspection of solar photovoltaic cells, the simulation of solar resources and forecasting, the development of digital twins, solar radiation modelling, and analysis of modular floating solar farms under wave motion.

Design, In Vitro Evaluation and In Vivo Biocompatibility of Additive Manufacturing Three-Dimensional Printing of β beta-Tricalcium Phosphate Scaffolds for Bone Regeneration

The reconstruction of bone deficiencies remains a challenge due to the limitations of autologous bone grafting. The objective of this study is to evaluate the bone regeneration efficacy of additive manufacturing of tricalcium phosphate (TCP) implants using lithography-based ceramic manufacturing (LCM). LCM uses LithaBone TCP 300 slurry for 3D printing, producing cylindrical scaffolds. Four models of internal scaffold geometry were developed and compared. The in vitro studies included cell culture, differentiation, seeding, morphological studies and detection of early osteogenesis. The in vivo studies involved 42 Wistar rats divided into four groups (control, membrane, scaffold (TCP) and membrane with TCP). In each animal, unilateral right mandibular defects with a total thickness of 5 mm were surgically performed. The animals were sacrificed 3 and 6 months after surgery. Bone neoformation was evaluated by conventional histology, radiology, and micro-CT. Model A (spheres with intersecting and aligned arrays) showed higher penetration and interconnection. Histological and radiological analysis by micro-CT revealed increased bone formation in the grafted groups, especially when combined with a membrane. Our innovative 3D printing technology, combined with precise scaffold design and efficient cleaning, shows potential for bone regeneration. However, further refinement of the technique and long-term clinical studies are crucial to establish the safety and efficacy of these advanced 3D printed scaffolds in human patients.

Integrated Application of Silicic and Humic Acid Seed Priming for Enhanced Germination and Yield of Lentil (Lens culinaris L.)

Background: Lentil is second most important nutritionally dense pulse crop of India due to its ability to fix nitrogen, helps to maintain soil fertility and increase yield of other crops grown in rotations. Seed priming is a good innovative technology for improvement of emergence and plant stand under various stress conditions and also could enhance various defense mechanisms in seeds against biotic and abiotic stresses. The present study aimed to examine the effect of seed priming with silicic acid (3 mM @18 hr), humic acid (600 ppm @18 hr) and combination of humic and silicic acid (100 ppm + 1 mM @ 16 hr), that may reduce harmful effect of stress at seedling stage and improve early seedling vigor. Methods: In this field-laboratory investigation during 2022-2023, seed quality and yield quality attributing parameters i.e. germination percentage, seed vigor index-I and II, total chlorophyll, emergence percentage, final plant stand, final plant stand emergence, plant height, secondary branches, tertiary branches, number of pod per plant, average number of pod per plant, pod cluster, seed yield per plot and yield per plot were recorded in both laboratory and field conditions. Result: The results demonstrated a positive effect of seed priming on seed quality parameters against the stress. The highest seed quality and yield quality attributing parameter was recorded in treatment (T5) combination of humic and silicic acid as compare to control. The chemical priming with combination of humic and silicic acid was found to be most effective treatment to enhance plant stand establishment against stress.

DEVELOPMENT OF THE DERMAL EFFECT OF PESTICIDES ON PROFESSIONAL CONTINGENTS USING INNOVATIVE 3RIVE 3D TECHNOLOGY

The skin is the most vulnerable organ when spraying pesticides on fields. Farmers are also exposed to pesticides during mixing, loading of pesticides, and when cleaning equipment and disposing of empty containers. The aim. To study and analyze the features of the risk of pesticides dermal exposure to professional contingents during treatments using the innovative 3RIVE 3D pesticide application technology. Materials and methods. The 3RIVE 3D innovative technological system of introducing was used to applicate Brigade 3Rive 3D, SC formulation. Field experiments on the study of working conditions when using the pesticide were conducted in various soil and climatic regions of Eastern Europe. Statistical processing of the results was carried out using a package of licensed statistical programs IBM SPSS StatisticsBase v.22 and MS Excel. Research results and discussion. During the conducted research, no bifenthrin contamination was found on the open skin of the operator and the tractor driver, who were processing corn crops with the Brigade 3Rive 3D, SC formulation. However, the operator's gloves were found to contain 0.025 mg of bifenthrin. Calculation of the unitless CASd value on the possibility of skin acute effects when applying the formulation showed that bifenthrin and the Brigade 3Rive 3D, SC formulation based on it are characterized by sufficient selectivity of action on the target object (CASd – 645 and 162, respectively, i.e. > 100) and a low level of danger acute dermal toxic effects for workers, which is due to low values of effective consumption rates. The real dermal risk of bifenthrin exposure when using the Brigade 3Rive3D, SC formulation was significantly lower compared to the risk of workers involved in “traditional” air treatment and treatment with unmanned aerial vehicles (UAVs) (p=0.009-0.048 according to Wilcoxon's W-criterion); in comparison with rod and fan processing – it is non-significantly lower (р=0.262-1.000). There was a similar picture in comparison with the dermal aggravated risk – significantly lower in comparison with the risk of workers involved in “traditional” air treatment and processing with the help of UAVs (p=0.009 according to Wilcoxon's W-criterion); in comparison with rod and fan treatment – non-significantly lower (р=0.262-1.000). Conclusion. It was established that the studied active substance bifenthrin and the Brigade 3Rive 3D, SC formulation based on it are characterized by sufficient selectivity of dermal action on the target object and a low probability of acute dermal effects. A higher probability of acute inhalation poisoning than dermal exposure was revealed.

The Role of the Public Sphere of Science in Fostering Public Trust in Science in Ukraine

Introduction. The war in Ukraine has created a challenging environment for scholarly research, as many researchers and institutions have found themselves in constrained conditions and resources. Furthermore, there has been a decline in public trust in institutions in Ukraine, including the scholarly community.Problem Statement. In Ukraine, public trust in science has been consistently low in recent years. This may have negative consequences for the development of science and technology in the country, as well as for public policy decisions that rely on scientifi c evidence. Therefore, there is a need to foster public trust in the science of Ukraine.Purpose. The purpose of this research is to identify the key tools and technologies of the public sphere of science, which can contribute to building trust in science among the Ukrainian public.Material and Methods. There have been used the methods of analysis, synthesis, comparison, structural, functional, system analysis, and integration.Results. The importance of the role of the public sphere of science in shaping public trust in scholarly research in Ukraine has been established. The main tools and technologies in the public sphere of science that can be used to engage the public and to enhance trust in science in Ukraine have been analyzed. The role of social media platforms, scientifi c webinars, scientifi c platforms, and scientifi c festivals in this process and their potential for engaging the public in scientifi c knowledge and research have been discussed.Conclusions. The importance of involving the public in scientifi c decision-making processes and engagement through organizing public discussions and debates has been concluded. Another crucial step is ensuring open access to scientifi c information and promoting greater transparency. Collaboration among research organizations, the public, the government, and other stakeholders is also vital to the development of eff ective scientifi c policies. The use of innovation technologies and digital tools facilitates interaction between science and the public. Ensuring access to scientifi c knowledge and scientifi c education contributes to increasing trust in science.

Smart Defense: How Self-Learning AI Can Shield Bangladeshi Medical Records

The digitalization of healthcare records in Bangladesh presents both opportunities and challenges, particularly concerning the security and protection of sensitive patient information. As electronic health records (EHRs) become increasingly prevalent, the threat of cyberattacks targeting medical data escalates, necessitating innovative solutions to fortify the country's healthcare cybersecurity infrastructure. This paper investigates the efficacy of self-learning artificial intelligence (AI) systems in safeguarding Bangladeshi medical records against cyber threats. The traditional methods of securing medical records, such as firewalls and antivirus software, are proving inadequate against the evolving tactics of cybercriminals. Bangladesh faces unique challenges in this regard, including limited resources, lack of cybersecurity awareness among healthcare professionals, technological fragmentation, and an increasingly sophisticated threat landscape. To address these challenges, there is a growing imperative to explore novel approaches that can adapt and evolve in real-time to counter emerging cyber threats. Self-learning AI systems represent a promising frontier in healthcare cybersecurity. By leveraging advanced machine learning algorithms, these systems can analyze vast amounts of data to detect patterns indicative of cyber threats. Unlike static security measures, self-learning AI continuously learns from new information and adjust their defense strategies, accordingly, enabling them to stay ahead of evolving threats. Key functionalities of self-learning AI include anomaly detection, threat prediction, and adaptive defense mechanisms, all of which are essential for safeguarding medical records in Bangladesh's healthcare landscape. The implications of integrating self-learning AI into Bangladesh's healthcare cybersecurity framework are significant. Not only can these technologies enhance the detection and prevention of cyber threats, but they can also alleviate resource constraints and technical challenges faced by healthcare organizations. However, successful implementation requires comprehensive training, adherence to data privacy regulations, and ongoing monitoring to ensure the effectiveness and reliability of AI-driven security measures. The protection of medical records is paramount as Bangladesh continues its digital transformation in healthcare. Self-learning AI offers a dynamic and proactive approach to cybersecurity, empowering healthcare organizations to mitigate risks and preserve patient privacy in an increasingly digitized landscape. Embracing these innovative technologies is crucial for building a resilient healthcare ecosystem that prioritizes data security and patient trust.

3D printed stents using Fused deposition modelling

3D printing has emerged as an appealing technology for designing and manufacturing bioresorbable stents. This innovative technology enables the creation of a diverse range of stent structures with specific features and intricate geometries, significantly impacting their mechanical properties and potentially affect clinical performance. In this study, we investigated the influence of various processing parameters during the 3D printing process and assess their effects on stent quality. Fused Deposition Modelling (FDM) was chosen as the 3D printing technology, with a focus on optimizing the printing of a novel chevron-strut stent design. Printing parameters were systematically investigated to understand their individual contributions to overall stent quality. The findings reveal the significance of print speed (6.5 mm/s) as a pivotal factor, influencing strut width and the difference between the Computer Aided Design (CAD) volume to calculated volume of stent. Furthermore, the optimization of printing parameters such as travel speed (200 mm/s), and line width (0.2 mm) led to the fabrication of stent with strut widths of 400 μm. However, it is important to also consider other parameters for comprehensive print optimization. In conclusion, by exercising control over the print process parameters, it becomes feasible to produce stents that closely align with the original CAD designs.

Technology Adoption in Material Procurement: An Empirical Study Applying the UTAUT Model Among Construction Companies in India

The Indian construction industry faces many challenges, such as low productivity, project delays and a lack of professionalism. To remain competitive, construction companies must adopt innovative technologies to make their operations more efficient. In this context, the management of companies needs to understand employee attitudes and perceptions of technology adoption to make investment decisions for adopting new technologies. This study aims to assess the employees’ perceptions of e-procurement as part of technology adoption in the construction sector. The popular Unified Theory of Acceptance and Use of Technology (UTAUT) framework was adapted to develop a study model with employee attitude added as a mediating variable. Data collected from 305 employees working in the materials departments of different private construction companies are analyzed using SPSS Amos, a covariance-based structural equation modelling (CBSEM) tool. The study results revealed the strength of the predictor variables in determining the predicted variable and the significant role of the mediating variable in shaping employee perceptions. The results can provide valuable information to the management of the construction companies about which factors promote the adoption and acceptance of digital technologies. This awareness is greatly helpful in changing or adjusting the situation to improve employee perceptions of accepting new technologies.