Industrial Benefits Research Articles

Role of Chitosan Hydrogels in Clinical Dentistry.

Biopolymers are organic polymers that can be treated into intricate designs with porous characteristics that mimic essential biologic components. Due to their superior biosafety, biodegradability, biocompatibility, etc., they have been utilized immensely in biomedical engineering, regeneration, and drug delivery. To obtain the greatest number of results, a literature search was undertaken in scientific search engines utilizing keywords. Chitosan is used in a variety of medical sectors, with the goal of emphasizing its applications and benefits in the clinical dental industry. Chitosan can be dissolved in liquid form and combined with other substances to create a variety of products, including fibers, hydrogels, membranes, microspheres, resins, sponges, pastes, tablets, and micro granules. Chitosan has been studied in a variety of dental applications. Chitosan is used in the prevention of caries and wear, in pulpotomy to accelerate osteogenesis in guided tissue regeneration due to its hemostatic property, and primarily to benefit from its antimicrobial activity by adding it to materials, such as glass ionomer cement, calcium hydroxide, and adhesive systems. With its antibacterial activity and biocompatibility, chitosan is leading the pack as a promising ingredient in the production of dental materials. The current review provides an update on the background, fundamentals, and wide range of uses of chitosan and its gels in dental science.

Scale and efficiency of China’s radiation industry based on LightGBM model

Abstract In the digitalization of big data information, how to use big data and China’s radiation industry combined have become a key topic of social concern. This paper first constructs LightGBM model by gradient boosting tree and deep neural network. Gradient boosting tree optimizes the convergence and stability of LightGBM model, while the deep neural network improves the accuracy and efficiency of the LightGBM model by updating the weights on each edge. Then the radiation safety management method is proposed according to the danger of the radiation industry, the characteristic data of radiation industry scale and efficiency are obtained through research work, the research indexes are determined, and finally, the data analysis of China’s radiation industry scale and efficiency is conducted by using LightGBM model. Take the medical isotope industry as an example: from 2010 to 2020, the number of nuclear medicine industries increased from 857 to 1148, and the deviation rate of prediction was always maintained at 10%. In terms of radiation industry benefits: the annual growth rate of PET diagnostics, SPECT diagnostics and Nuclide Therapy benefit is 56%, 14% and 5.3%, respectively, the radiation industry has great market demand, and the benefit will continue to grow in the future. This study is a comprehensive and accurate analysis of the scale and benefits of China’s radiation industry and has a guiding reference value for the development and research of China’s radiation industry.

Pricing and Coordinating the Lease-Oriented Closed-Loop Supply Chain for Construction Machinery in the Era of Carbon Tax

Promoting sustainable production and consumption practices in the construction machinery industry is crucial for achieving energy savings and reducing carbon emissions. However, there is a lack of targeted studies addressing the challenge of scaling up leasing and recycling while maximizing economic benefits for enterprises. To fill this gap, this paper presents a lease-oriented closed-loop supply chain model that incorporates a carbon tax policy to investigate the impact of the carbon tax rate and consumer preferences for remanufactured products on the supply chain and introduces a leasing compensation–cost apportioning combined contract to achieve supply chain coordination in the construction machinery sector. The model considers differential selling and leasing prices for new and remanufactured products, as well as the recovery rate, under both centralized and decentralized decision-making approaches. The study explores the interrelationships between various parameters through sensitivity analysis and numerical simulation. The results demonstrate that within a certain range of the cost apportioning proportional coefficient and leasing compensation proportional coefficient, the combined contract can lead the supply chain to achieve Pareto optimality. As the carbon tax rate increases, it was observed that the profits for all parties in the supply chain tend to decrease. However, due to the increased demand for remanufactured products, the product recovery rate improves, resulting in a reduction in total carbon emissions in the closed-loop supply chain of construction machinery. Moreover, the profits of all parties and the total supply chain profits initially decrease and then increase with an increasing preference coefficient for remanufactured products among consumers. By leveraging these factors and adopting effective strategies, such as enhancing consumer recognition of remanufactured products and optimizing pricing and cost allocation, it is indeed possible for the profits of all parties and the total profits in the supply chain to surpass the initial values, even in the face of increasing carbon tax rates. This demonstrates the potential for aligning sustainability objectives with economic benefits in the construction machinery industry.

Tourism Impacts on Socio-Economic Development of Residential Community in Ella Destination, Sri Lanka

One tool for economic development is the tourist sector. Tourism destination management is required at local, regional, and national levels to profit. The local population plays a significant role in the tourism industry since they serve as the tourists' hosts. Tourism must be promoted to maximize industrial benefits. Positive outcomes must be enhanced, while negative consequences must be controlled. Therefore, this study aims to identify the economic and socio-cultural impacts of tourism on the Ella destination. This research is focused on the homestay community, because it is the main income-generating source for the resident community in Ella, Sri Lanka. The researcher selected 175 registered homestay business owners in Ella destination, Sri Lanka through a simple random sampling strategy. This study applied a Likert scale questionnaire to collect primary quantitative data for this study. Secondary data was gathered from past theses, journal articles, newspaper articles, the SLTDA website, and central bank annual reports. The SPSS software was utilized to analyze the gathered data through questionnaires. The researcher identified that there are eight main indicators that affect the socio-economic development of the homestay business community in Ella, Sri Lanka. These are local culture, local services, the community’s lifestyle, alcoholism, drugs, and prostitution, employment and income opportunities, investment & spending, infrastructure, and tourist arrivals to Ella. As per the findings, the researcher recommends that homestay tourism business owners need to invest In eco-friendly business operations, because eco-friendly hospitality services are the main trends in the current global tourism and hospitality business Sector. Also, homestay business owners should know that practical knowledge is highly significant in the tourism and hospitality sector business environment. In the future, community capacity development, Identification of a unique promotional mechanism, and eco-friendly business operations will be needed to manage negative impacts.

Biological activities, therapeutic potential, and pharmacological aspects of blackcurrants (Ribes nigrum L): A comprehensive review.

Blackcurrant possesses various health-endorsing attributes owing to its polyphenol profile. Recent studies have demonstrated its therapeutic potential against various health disorders. Various bioactives present in blackcurrants have different functional and pharmacological aspects including anti-inflammatory, antioxidant, and antimicrobial properties. The most dominant and important bioactive include anthocyanins, flavonols, phenolic acids, and polyunsaturated fatty acids. Food formats derived from blackcurrants comprise pomace, juice, powder, and extracts. All these food formats have industrial, prebiotic, and pharmacological benefits. In the current article, the nutritional composition, industrial applications, and therapeutic potential are discussed in the recent literature. Moreover, novel extraction techniques for the extraction of bioactive compounds present in blackcurrants and their safety concerns have been elaborated.

Rapid synthesis of monocalcium phosphate using calcium carbonate extracted from green mussel shells and phosphoric acid solution

Ca-source of green mussel shells (Perna-Viridis) recovered into precipitated calcium carbonate (PCC) powders via a calcination-dissolution-precipitation pathway is a prospective feedstock for the rapid synthesis of monocalcium phosphate monohydrate (MCPM). In the study, a potential aqueous crystallization process was implemented for MCPM synthesis by blending PCC powders with vaterite (55.20 wt %) and calcite (44.80 wt%) in strongly phosphoric acid with a molarity of 85% (w/w) and varying amounts of water (2–6 mL), followed by rapid evaporation and drying. The resulting product contained at least 90 wt % MCPM and minor monetite according to XRD and FTIR analyses. The morphology of the MCPM product is a prismatic-like shape with grain sizes ranging from 3 to 9 μm, as observed using SEM techniques. DTA/DTG/TG analysis confirms the stability of MCPM products at temperatures up to 100 °C providing benefits for food industries and communities as a stable food additive commodity.

Lost in a black‐box? Interpretable machine learning for assessing Italian SMEs default

AbstractAcademic research and the financial industry have recently shown great interest in Machine Learning algorithms capable of solving complex learning tasks, although in the field of firms' default prediction the lack of interpretability has prevented an extensive adoption of the black‐box type of models. In order to overcome this drawback and maintain the high performances of black‐boxes, this paper has chosen a model‐agnostic approach. Accumulated Local Effects and Shapley values are used to shape the predictors' impact on the likelihood of default and rank them according to their contribution to the model outcome. Prediction is achieved by two Machine Learning algorithms (eXtreme Gradient Boosting and FeedForward Neural Networks) compared with three standard discriminant models. Results show that our analysis of the Italian Small and Medium Enterprises manufacturing industry benefits from the overall highest classification power by the eXtreme Gradient Boosting algorithm still maintaining a rich interpretation framework to support decisions.

The Implementation of Building Information Modelling for Cut and Fill Quantity Takeoff in Toll Road Project

Technology has been going rapidly through the years, and BIM is one of the massive developments that offer some benefits for the construction industry. BIM is widely used in building project and has started to be used in infrastructure projects such as toll roads. In a toll road project, cut and fill is one of the massive volumes, which consume a lot of time to calculate the quantity and has a high chance to human error. This research aims to determine the implementation of BIM in cut and fill quantity take-off in Toll Road Project. The methodology for this research is qualitative descriptive with in-depth interviews with the expert. The study shows that implementing quantity take-off with BIM increases accuracy, reduces time, minimizes human error and efficiency. Nevertheless, still have some lacks, such as expensive cost for siftware, hardware and training, needs a long time adaptation to the organization, and also need collaboration all of the stakeholder to succesfuly implement BIM

NORAD Modernization: Private Benefits to Canada

ABSTRACT The workhorse of military alliances theory is the joint products model where the prominent existence of private benefits from alliance activities alleviates the free-riding problem. In the case of NORAD Modernization project, there are potentially large private economic benefits accruing to Canada. These benefits may include technology transfers and domestically produced inputs from some sectors exhibiting comparative advantage. In this latter case, the benefits will largely depend on whether a JSF type consortium will undertake the investments efficiently as opposed to the so-called benefits obtainable from Canada’s fundamentally inefficient offsets program, Industrial and Technological Benefits (ITB). The article focuses on Canada’s Key Industrial Capabilities (KIC), the 17 sectors officially selected as supporting the country’s operational capabilities. The width of this selection as well as the procurement and industrial policy interaction are briefly discussed.

Development of Non-destructive Testing Method for Tube Inspection in Fin-Fan Coolers in Kazakhstan’s Oil/Gas, Chemical and Power Industries.

Many oil/gas fields in Kazakhstan contain high levels of highly corrosive H2S and CO2, sometimes at very high pressures. The management of corrosion is essential in maintaining plant safety and integrity of the processing facility. This paper describes the development of a non-destructive testing (NDT) method that improves the reliability of air-cooled heat exchangers by reducing down-time related to corrosive and erosive failure of fin-fan tubes. The project goal was to maximize the output of oil and gas plants and refineries while reducing the plant operating cost. The work first identified those NDT requirements for air-cooled heat exchangers damage assessment that would provide the greatest economic benefit for Kazakhstan industry. The main objective was to develop a state-of-an-art NDT method for air-cooled heat exchanger tubes, capable to: a) detect any damage mechanism while testing from tube internal diameter, b) accurately determine the damage in terms of wall loss, c) perform inspection quickly and expediently, d) requires minimum tube cleaning. Consequently, the method specially adapted for Kazakhstan conditions was developed based on a combination of Magnetic Flux Leakage (MFL) technique for flaw detection and with Hall effect measurement of wall thickness and gradual corrosion in tubes. The method has been tested in both laboratory and field conditions and the results were compared with accurate but slow ultrasonic IRIS method. High correlation was obtained, which proved that the developed technology is capable to deliver similar results at the speed almost 10 times faster and less than half the cost.

A win-win situation for environment and economy: Analysis of maximizing benefits in municipal sludge treatment plants

The huge cost (economic cost and environmental cost) of treating municipal sludge has caused enormous pressure on China. How to balance economic cost and environmental benefits in China's sludge treatment industry is an important issue that the government urgently needs to address. This article selects 9 types of municipal sludge treatment plants (MSTP) that can represent different treatment methods and scales in China, and attempts to help all provinces in China find the optimal solution for maximizing sludge treatment benefits (economic benefits and environmental benefits) under different constraints (economic constraints and environmental constraints). Firstly, this paper analyzes the economic and environmental costs and return of 9 types of MSTP. Secondly, we use the unguided Super-SBM model to combine the costs and return of 9 types of MSTP to measure the benefits of each plant. It has been found that under ideal conditions, medium Incineration treatment (IT) and large building material (BM) utilization are the most beneficial options for sludge treatment in China. Finally, we use a simple linear programming model to establish a constrained linear programming model for the environment and economy, substituting provinces that are divided into four categories under different constraint conditions into the model, and finding the optimal ratio for each type of province to build MSTP, in order to maximize benefits. Research has found that after adding constraints, the future development trend of municipal sludge treatment in China will mainly focus on small BM utilization and medium LA. This research result has universal applicability. As long as the constraints of this article are met, any country or province can adjust the construction proportion of municipal sludge treatment plants according to the research results of this article.

Phytochemical status and antioxidant capacity of selected hot pepper varieties cultivated in Tanzania

Hot pepper is one of the most important economic fruits with abundant of nutritional qualities. Thus, the consumption of foods of plant origin with high nutritional and bioactive compounds of high antioxidants capacity is a major concern nowadays. A study was conducted to determine and quantify concentrations of important bioactive compounds present in the nine selected hot pepper varieties cultivated in Tanzania. Hot peppers were grown in the field at Botany department research farm, University of Dar es Salaam from March to September, 2021. Then, ripe-fruit extracts were used to determine vitamin C, beta-carotene, lycopene, total phenolic content (TPC) and total flavonoid content (TFC)among the varieties quantitatively. The results indicated that there were very high significant variations on the nutrients and bioactive compound concentrations (p<0.0001) among all varieties of hot pepper evaluated. The highest amount of vitamin C was 948.30 ± 22.6 mg/100g recorded from orange bird eye variety. The high concentration of beta-carotene was 0.62 ± 0.006mg/ 100 ml recorded from orange bird eye. The highest concentration of lycopene was 0.55 ± 0.0003 mg/ 100 ml from Big red cayenne. The highest concentration of TPC was 454.247 ± 20.9mg GAE/ 100g obtained from Big red cayenne. The highest concentration of TFC was 8.92 ± 0.15 mg RE/ 100g obtained from Big red cayenne. High variability was observed among the hot pepper varieties; Big red cayenne variety with the highest concentrations of TPC, TFC and lycopene, showed to have the highest radical scavenging capacity. Big red cayenne can be a cheap source of natural antioxidants, therefore recommended for future development of nutraceuticals or healthy food products and conveying great benefits for food and pharmaceutical industries, consumers, and producers.

Physiochemical Properties of Benzophenone and Curcumin-conjugated PAMAM Dendrimers Using Topological Indices

Curcumin longa (Turmeric) contains an extremely strong phytochemical called curcumin, which has various medicinal and industrial benefits, including anti-inflammatory and anti-cancer effects, textile dyeing, and food and beverage colorants. However, due to its poor bioavailability and low aqueous solubility, it is unstable. These physiochemical properties limit curcumin’s clinical application. In order to solve this problem, scientists recently made new PAMAM dendrimers of the zero, first, and second generations conjugated with curcumin and benzophenone, which is a water-soluble secondary metabolite. Here, we use topological indices to examine these novel PAMAM dendrimers. Adriatic indices, which are a subclass of topological indices, can be used to measure how the arrangement of atoms in a chemical structure affects its most important physical properties. In this study, the parameters of the aforementioned dendrimer, including its density, retention duration, enthalpy, and lipophilicity, are calculated and analyzed based on 16 distinct adriatic indices. Enhanced bioavailability of curcumin in the near future is likely to bring this promising natural product to the forefront of therapeutic agents for the treatment of human diseases.

Integrating Cloud Technology and Artificial Intelligence for Enhanced Real Estate Investment Trusts (REITS) and Crowdfunding Synergy

The integration of Cloud technology (CT) and Artificial Intelligence (AI) presents significant potential benefits for the real estate industry, particularly in the areas of REITs and crowdfunding. By providing greater transparency, reducing costs, and increasing liquidity, the cloud can make real estate investments more accessible and appealing to individuals. Moreover, AI can assist with decision-making processes and data analysis, leading to better investment strategies and higher returns. To measure individual perspectives on this integration in India, a survey questionnaire involving 236 individuals will be designed using a Likert scale to measure attitudes and opinions on this topic. This will be followed by data collection through a convenient sampling method and analysis using the SPSS tool. The survey aims to identify the level of awareness and adoption of integrating cloud and AI among real estate professionals and investors, intending to enhance REITs and Crowdfunding Synergy (CS). The findings of the study revealed that the use of CT can enhance transparency in real estate investments, making it easier for investors to understand how their money is being used and what returns they can expect.

Exploring the benefit distribution mechanism of the reservoir migrant industry based on the logistic regression model

Abstract The establishment of an industrial benefit distribution mechanism for reservoir migrants in water conservancy and hydropower projects is a crucial part. This paper establishes the logistic regression model with gradient descent by deriving the objective function and using the gradient descent method to solve its approximate solution. Then, the model is applied to predict the total income and total expenditure of reservoir migrants before and after agricultural resettlement and tertiary resettlement, and the criteria for benefit compensation distribution are given based on the comparison before and after relocation. In the case of agricultural resettlement, the average share of equal compensation in the first 5 years accounts for 54.67% of the predicted income, and the predicted average annual growth rate of net income per capita is 17.86% with a discount rate of 3.12%. In the tertiary placement case, the predicted growth rates of wage income in the first 5 years are 7.49%, 4.84%, 10.56%, and 1.15%, respectively, and the average annual growth rate of transfer income is 7.01%, and the average annual growth rate of government subsidies is 0.80%. The prediction accuracy of the logistic regression model based on gradient decline reached 84.14%, and the analysis of the distribution of industrial benefits for reservoir migrants was credible. To let the living standard of migrants recover and exceed the level of non-relocation as soon as possible, it is necessary to give migrants certain compensation for production and life recovery based on the living standard measurement index.

Artificial Neural Network in the Development of Halal Cosmetic Formulation Containing Okara

The development of halal cosmetic formulations presents a challenge to obtain optimised formulations with desirable qualities as it involves many ingredients. The advancement of cosmetic technologies employs multivariate statistical techniques such as artificial neural networks (ANN) to optimise cosmetic formulation, which aims to overcome the shortcomings of traditional formulation methods, which are laborious and cumbersome. Okara is a by-product of the production of soy-based products. Okara has been found to have numerous benefits for many industries and has been discovered as a promising halal cosmetic ingredient. Okara is a plant-derived ingredient; it can be incorporated as a cosmetic ingredient if essential aspects of production are addressed, such as using permissible substances, manufacturing, storage, packaging, and delivery following Shariah requirements. This study aims to develop an optimised halal cosmetic soap formulation containing okara using ANN to achieve the desired hardness of the soap. The influential input variables were the main compositions of the okara soap formulations, containing different fatty acids and oils, and okara through a saponification process. In contrast, the hardness (N) of the soap was the response used as the output. Five different algorithms trained ANN. Generic Algorithm (GA) 6-09-1 was selected as the final optimum model to optimise the halal cosmetic soap formulation. GA modelling was further validated, and the experimentally obtained actual hardness (N) value was close to the predicted value. In conclusion, they were optimised formulating using ANN to produce a soap with desirable properties better than those of commercial ones.

Strong yet strain-hardenable equiatomic CoCrFeMnNi high-entropy alloys by dynamic heterostructuring

Heterostructuring gives solutions to achieve better mechanical performance of metallic materials. For instance, partial static recrystallization by short-term annealing induces bimodal grain size distribution. Distinct from the well-studied ‘static heterostructuring’ by cold rolling followed by annealing, this study introduces ‘dynamic heterostructuring’ by hot rolling. Dynamic recrystallization (DRX) during the hot rolling as a softening mechanism leaves room for dislocation accumulation. With the expectations of enhanced strain hardening of the as-rolled materials with the aid of the DRX, we monitored tensile responses of the as-hot-rolled equiatomic CoCrFeMnNi high-entropy alloys (HEAs). Among the hot rolling temperatures from 800 ℃ to 900 ℃ with a thickness reduction ratio of 78.6% for the HEAs, the hot rolling at 850 °C results in a bimodal grain size distribution, i.e., partial DRX. It comprises relatively fine DRXed grains and coarse unrecrystallized grains: the latter is harder than the DRXed ones with relatively low dislocation density. The microstructural heterogeneity results in uniform elongation of ∼13% due to the accumulation of dislocations at the grain boundaries inside the soft DRXed grains. This endows the as-hot-rolled single-phase HEAs with strain hardenability without the aid of phase transformation, deformation twinning, or precipitates. In addition, the hot-rolled HEAs with high dislocation density have doubled yield stresses of those of conventionally cold-rolled and annealed counterparts. Considering the industrial benefits of the simplified thermo-mechanical control processes, this work extends the academic and practical value of DRX by dynamic heterostructuring through annealing-free hot rolling.

Management of potato brown rot disease using chemically synthesized CuO-NPs and MgO-NPs

BackgroundPotatoes are a crucial vegetable crop in Egypt in terms of production and consumption. However, the potato industry suffers significant annual losses due to brown rot disease. This study aimed to suppress Ralstonia solanacearum (R. solanacearum), the causative agent of brown rot disease in potatoes, using efficient and economical medications such as CuO and MgO metal oxide nanoparticles, both in vitro and in vivo, to reduce the risk of pesticide residues.ResultsCuO and MgO metal oxide nanoparticles were synthesized via a simple chemical process. The average particle size, morphology, and structure of the nanoparticles were characterized using UV-visible spectroscopy, transmission electron microscopy (TEM), zeta potential analysis, X-ray diffraction (XRD), and Fourier transform infrared (FTIR) spectroscopy. The growth of R. solanacearum was strongly inhibited by CuO and MgO NPs at a concentration of 3 mg/mL, resulting in zones of inhibition (ZOI) of 19.3 mm and 17 mm, respectively. The minimum inhibitory concentration (MIC) and minimum bactericidal concentration (MBC) of CuO-NPs and MgO-NPs were 0.5, 0.6, and 0.6, 0.75 mg/mL, respectively. When applied in vivo through seed dressing and tuber soaking at their respective MIC concentrations, CuO-NPs and MgO-NPs significantly reduced the incidence of brown rot disease to 71.2% and 69.4%, respectively, compared to 43.0% and 39.5% in bulk CuSO4 and bulk MgSO4 treatments, respectively. Furthermore, CuO-NPs and MgO-NPs significantly increased the yield, total chlorophyll content, and enzyme efficiency of potato plants compared with the infected control plants. TEM revealed that the bacterial cytomembrane was severely damaged by nanomechanical forces after interaction with CuO-NPs and MgO-NPs, as evidenced by lipid peroxidation and ultrastructural investigations.ConclusionThe results of this study suggest that CuO-NPs and MgO-NPs can be used as intelligent agents to manage plant pathogens in agriculture. The use of metal oxide nanoparticles could provide a risk-free alternative for treating plant diseases, which are currently one of the biggest challenges faced by the potato industry in Egypt. The significant increase in yield, photosynthetic pigments, enzymatic activity, and total phenol-promoted resistance to R. solanacearum in potato plants treated with CuO-NPs and MgO-NPs compared to infected control plants highlights the potential benefits for the potato industry in Egypt. Further investigations are needed to explore using metal oxide nanoparticles for treating other plant diseases.

Realizing the benefits of a hydrogen industry in Kazakhstan

The prospects of hydrogen energy in Kazakhstan are mainly seen from an export-oriented perspective. There has been limited progress toward developing hydrogen-end use in Kazakhstan. This work presents a long-term vision on hydrogen end-use in the industry, transport and power sectors of Kazakhstan. The vision is fully aligned with the recently released Carbon-Neutrality Strategy of Kazakhstan and considers the experience of several countries which have developed a hydrogen strategy. Owing to the existing use of hydrogen in the chemical sector and refineries, these two were categorized as near-term end-use areas. The steel sector, heavy-duty transport (buses, trucks and railway) and hydrogen-fueled gas turbines are identified as mid-term end-use areas, as these options have fully matured to commercial use. Industrial heating, ships, aviation, power backup power and energy storage systems are long-term options. Developing hydrogen end-use requires dealing with technologies that have just entered the market and development stage technologies that are yet to reach commercial use. Both types rely on Kazakhstan's R&D and innovation capacity to make their economy cost-competitive. The analysis of R&D support in the country revealed systematic underfunding over the years compared with countries that have higher R&D capacity. The work also presents general approaches to hydrogen R&D in Kazakhstan for industry and academia, which are the main drivers of innovation.

Healthcare 4.0 implementation: opportunities and challenges in the healthcare sector

Healthcare 4.0 is the application of Industry 4.0 principles in healthcare, enabling real-time personalization of patient care. Although it has gained relevance in recent years due to the benefits of Industry 4.0, the concept is still little known by professionals in the Brazilian and international health sector. Using the literature review method and survey research with 26 experts in Healthcare 4.0, this study aims to identify opportunities and challenges in Healthcare 4.0 implementation projects in the health sector in Brazil. The relevance of this study is the identification of the main opportunities found: digital technology facilitates the collection of patient data; the strategic implementation of Healthcare 4.0 can bring competitive advantages to the organization; and the main challenges: the need for digital training of healthcare professionals for Healthcare 4.0, and the need to motivate everyone involved to adopt Healthcare 4.0, contributing to theory. The practical contribution is to help the healthcare professionals involved to understand the relevant points for successful Healthcare 4.0 implementation projects.