Cost Analysis Research Articles

Decision Support Model for Selecting the Optimal Blockchain Oracle Platform: An Evaluation of Key Factors

Smart contract-based applications are executed in a blockchain environment, and they cannot directly access data from external systems, which is required for the service provision of these applications. Instead, smart contracts use agents known as blockchain oracles to collect and provide data feeds to the contracts. The functionality and compatibility with smart contract applications need to be considered when selecting the best-fit oracle platform. As the number of oracle alternatives and their features increases, the decision-making process becomes increasingly complex. Selecting the wrong or sub-optimal oracle is costly and may lead to severe security risks. This paper provides a decision support model for the oracle selection problem. The model supports smart contract decision-makers in selecting a secure, cost-effective, and feasible oracle platform for their applications. We interviewed oracle co-founders and smart contracts experts to refine and validate the decision model. Two real-world smart contract application case studies were used to evaluate the model. Our model prioritises and suggests more than one possible oracle platform based on the developer's required criteria, security assessment, and cost analysis. Moreover, this guided decision model serves to reveal issues that may go unnoticed if done haphazardly, reduce decision-making efforts, and provide a cost-effective solution.

Direct vs. Indirect Digital Implant Impressions: A Time and Cost Analysis

Background/Objectives: This study aimed to compare the cost and time implications for implant-supported prosthesis comparing three digital impression techniques: digitization with an intraoral scanner, digitization of the conventional impression (without dental casts) and digitization of the stone models. Methods: To assess the time and cost of digital impression techniques on implants, time records on intraoral scans were consulted and three models were created with one, two and six implants to assess extraoral procedures time. Costs were evaluated based on material consumption, time expenditure and operator-related expenses. Time was recorded in three stages: (1) impression-taking, (2) model fabrication and (3) overall workflow completion. Statistical analysis was performed using ANOVA to compare cost and time differences across workflows. Results: Intraoral scanning presented a reduction in chair-side time between 4 and 20% when compared to extraoral techniques. For the three clinical situations evaluated, the intraoral scanning always presented the lowest cost. The extraoral digitization of impressions showed a reduction between 51.9% and 53.6% in laboratory time and between 3.5% and 7.6% in total cost compared to stone models digitization. Conclusions: The findings of this study indicate that intraoral scanning is a more cost-effective and time-efficient alternative to traditional impression methods, providing advantages in terms of reduced material use and shorter procedural durations.

Design, modeling and cost analysis of 8.79 MW solar photovoltaic power plant at National University of Sciences and Technology (NUST), Islamabad, Pakistan

Climate change, as a critical global concern, has fueled our efforts to address it through different strategies. In response to the critical worldwide issue of climate change, we suggested a Photovoltaic (PV) system at the National University of Sciences and Technology (NUST) in Islamabad, Pakistan (latitude: 33.724530 N, longitude: 73.046869, terrain elevation: 552 m). Islamabad is located in a region blessed with enormous solar resources, boasting a daily horizontal solar irradiance of 1503.45 kWh/m2 and an average daily solar irradiance of 5.89 kWh/m2, with an exceptional solar fraction of 98.99%. The ambient air temperature, averaging 23.21 °C, reaches its maximum in June and its minimum in December. Our research thoroughly evaluates the system’s performance, accounting for various losses and utilizing modern PVsyst software. Over the course of 18 years, our PV system is expected to save 75,478.60 tons of CO2, the equivalent of planting 348,754 teak trees. Furthermore, the cost of energy generation is an affordable 0.0141 US $/kWh, much lower than traditional rates, including the Sherif cost of 0.028$/kWh. Along with the performance research, we conducted a detailed cost analysis, projecting the starting cost and cash flow, and discovered that the plant would be in surplus within 12 years of installation. Our system is positioned to generate 11,270,771 kWh/year with a respectable performance ratio (PR) of 76.2% and a Capacity Utilization Factor (CUF) of 16%. Our findings not only highlight the potential of renewable energy but also provide important insights for future sustainable energy programs.

Building Healthy, Equitable, and Resilient Communities: Lessons Learned From Multisector Community Partnerships Addressing the Social Determinants of Health.

Multisector community partnerships play a pivotal role in public health strategy for understanding and addressing social determinants of health (SDOH) and promoting health equity. The work of these partnerships is well aligned with building community resilience. The Year 2 Improving Social Determinants of Health-Getting Further Faster (GFF) retrospective evaluation was designed to gather practice-based evidence that can inform future community-driven partnerships to improve chronic disease outcomes and advance health equity by addressing social determinants of health (SDOH). This paper sought to determine how the efforts of multisector community partnerships could also support community resilience. Guided by CDC's Framework for Program Evaluation in Public Health and health equity principles, the GFF evaluation engaged 14 Multisector Community Partnerships to better understand how their SDOH interventions contribute to community changes that improve chronic diseases and advance health equity. Data collection included qualitative discussions along with additional quantitative analyses of SDOH outcomes, costs, and prevention impacts. This paper focuses on insights gathered from qualitative discussions (2 virtual 60-minute discussions with members of each of the 14 Partnerships) around community resilience. Results from qualitative discussions demonstrate how Partnerships' SDOH efforts created parallel opportunities for nurturing community resilience. For example, Partnerships engaged community members in the design and implementation of SDOH interventions in ways that nurtured a sense of belonging and empowerment to shape their community. To further build community resilience, Partnerships mentioned the importance of sustained and flexible funding, help building stronger partnerships, and a shared goal to build resilience and engage community members. Findings indicate that community partnerships working to address SDOH can drive reciprocal improvements in community resilience-contributions that are critical for advancing health equity. Partnerships suggested that health departments may have opportunities to enhance community resilience through their role as funder, facilitator, and convener.

Recycling Fly Ash into Lightweight Aggregate: Life Cycle Assessment and Economic Evaluation of Waste Disposal

This study analyzed environmental impacts and economic feasibility to evaluate whether recycling fly ash, which has rarely been addressed in previous studies, as a raw material for lightweight aggregates can be a sustainable waste management alternative. This study presents a comparative analysis of three disposal scenarios: landfill disposal, recycling as cement raw material, and recycling as lightweight aggregate raw material. Nine environmental impacts were assessed through life cycle assessment (LCA): acidification, global warming, eutrophication, photochemical oxidation, stratospheric ozone depletion, human toxicity, freshwater aquatic ecotoxicity, marine aquatic ecotoxicity, and terrestrial ecotoxicity. The results showed that the landfill disposal scenario posed the greatest threat to global warming, eutrophication, and marine aquatic ecotoxicity, while the cement scenario had the greatest impact on stratospheric ozone depletion, human toxicity, and other ecotoxicity items while recycling as lightweight aggregate showed the lowest environmental impacts in most items except acidification and photochemical oxidation. Life cycle costing (LCC) analysis was also performed to compare the economic aspects of each scenario. The lightweight aggregate scenario is more energy-intensive and costly, but it has significant economic benefits due to the significant revenues from the products produced. Therefore, even though the cost is high, this scenario is considered economically advantageous. This study highlights that recycling fly ash into lightweight aggregate reduces environmental impacts, provides economic benefits, and is a better alternative to landfilling and recycling cement raw materials. It will also contribute to promoting sustainable practices of fly ash recycling.

A comprehensive quantitative lifecycle cost and environmental impact analysis model for computing infrastructure

This paper presents a comprehensive quantitative model for quantitative assessment of the lifecycle costs and environmental impacts of computing infrastructure, with a focus on internet data centers (IDCs) and high-performance computing (HPC) facilities. The key innovation lies in the integration of interdisciplinary cost evaluation and carbon emission methods for the establishment of this quantitative model. This framework, which outlines key cost components and carbon emission factors, enables the calculation of total costs, electricity expenses, and greenhouse gas emissions throughout the lifecycle of infrastructure. With IDCs as a case study, the research clarifies the intricate cost structure associated with equipment procurement, energy usage, land acquisition, and operational expenses. This paper provides an in-depth understanding of the cost structure and environmental impact of computing infrastructure in support of sustainable decision-making in its development.•Based on established cost estimation methods, such as Lifecycle Cost Analysis (LCCA) and the Analogous Estimating Method, this study examines costs across construction and operation phases.•The Emission Factor Method is used to quantify environmental impact, emphasizing the significance of regional energy mix and power usage effectiveness (PUE).

Development of Self-Help Lifting Pads for Elderly People with Difficulty in Sitting Up

As individuals age, physiological changes can make it increasingly difficult to sit up unassisted. This study aimed to develop ergonomic self-help lifting pads to aid elderly individuals. The first phase involved constructing the pads and a needs assessment with elderly participants and caregivers to survey the physical dimensions and requirements for the design. The second phase focused on cost, engineering, and usage efficiency. Cost efficiency was analyzed using descriptive statistics, engineering efficiency was assessed through testing seat cushion, force reduction, and electrical safety, and usage efficiency was evaluated with participants aged 40 to 50 years. Results from the first phase indicated that the pads should be at least 53.15 cm wide and 153 cm long, with a need for relaxation and affordability. In the second phase, prototype pads were developed according to these specifications. A cost analysis showed that while the manual pad was more expensive than comparable products, the other variants were more cost-effective. Engineering tests confirmed that the cushions met ASTM D3574 standards and that the electrical components conformed to IEC 60335 standards. Usage efficiency ratings were the highest for the massage system pad. Participant feedback indicated longer pads, more convenient controls, and increased cushion comfort, guiding the development of the second version.

Identifying complementary conservation and restoration priority areas for plant species

The coverage of protected areas (PAs) remains far from the Kunming-Montreal target and degraded ecosystems are greatly limiting the conservation efficiency of PAs. Therefore, this paper proposes a method to identify conservation and restoration priority areas to supplement existing PAs. A case study was conducted focusing on Yunnan, southwestern China, which intersects with three world biodiversity hotspots. First, the spatial ranges for 3768 representative conservation plant species were mapped using species distribution models. Subsequently, planning units were classified into three restorability categories, namely no-need restoration, potentially restorable and non-restorable units, according to land cover changes between 2000 and 2020. Then, conservation and restoration priority areas were identified by applying a two-step systematic conservation planning process. Finally, replacement cost analysis was applied to compare the effectiveness of existing PAs and the overall 30 % priority areas. Northwestern, southwestern, and southeastern Yunnan have high biodiversity conservation values. Especially in eastern and southeastern Yunnan, large amounts of restoration priority areas were identified. Conservation and restoration priority areas account for 15.80 % and 3.69 % of Yunnan's land, respectively. Compared to existing PAs, conservation priority areas can increase the number of species covered from 2461 to 3277, and further to 3566 when including restoration priority areas. Compared to existing PAs, the mean species coverage in the overall 30 % priority areas has increased from 27.28 % to 72.69 %. Notably, 12.86 % of existing PAs were identified as restoration priority areas. This study indicates that in addition to conservation measures, implementing restoration strategies in high conservation-value areas is equally important.

Costs Analysis of Kidney Transplantation in Spain: Differences Between Regional Health Services

Background: For our society, chronic kidney disease is a major public health problem associated with high mortality, morbidity, reduced quality of life and a progressive increase in health costs. The aim of this study was to analyze and compare the current cost of kidney transplantation (KT) and kidney–pancreas transplantation (KPT) among the different Regional Health Services (RHS) in Spain. Methods: A descriptive comparative study analyzing the public prices of RHS in Spain. The Official Gazette of the different communities was consulted, where the latest available order on this type of cost was sought. A descriptive analysis was made of the stipulated cost of the KT and KPT, for each degree of severity, RHS, year of publication and cost calculation method. Mean cost and standard deviation were calculated. Results: KT prices were found for 15 of the 18 RHS (83.33%). The average cost of KT in Spain was €33,926.53 ± 6950.053 (range from €23,140.37 in the Canary Islands to €48,205.75 in Catalonia). For KPT, costs were found for 5 of the 18 RHS (27.8%). The mean cost of KPT was €65,792.38 ± 11,273.12 (ranging from €49,418.81 in Navarra to €78,363.20 in Andalusia). Conclusions: There is a large variability in KT and KPT costs in Spain between RHS. Our study underlines the importance of adopting standardized and updated costing methods for KT and KPT.

Health technology assessment and innovation: here to help or hinder?

Innovative health technologies offer much to patients, clinicians, and health systems. Policy makers can, however, be slow to embrace innovation for many reasons, including a less robust body of evidence, perceived high costs, and a fear that once technologies enter the health system, they will be difficult to remove. Health technology funding decisions are usually made after a rigorous health technology assessment (HTA) process, including a cost analysis. However, by focusing on therapeutic value and cost-savings, the traditional HTA framework often fails to capture innovation in the assessment process. How HTA defines, evaluates, and values innovation is currently inconsistent, and it is generally agreed that by explicitly defining innovation would recognize and reward and, in turn, stimulate, encourage, and incentivize future innovation in the system. To foster innovation in health technology, policy needs to be innovative and utilize other HTA tools to inform decision making including horizon scanning, multicriteria decision analysis, and funding mechanisms such as managed agreements and coverage with evidence development. When properly supported and incentivized, and by shifting the focus from cost to investment, innovation in health technology such as genomics, point-of-care testing, and digital health may deliver better patient outcomes. Industry and agency members of the Health Technology Assessment International Asia Policy Forum (APF) met in Taiwan in November 2023 to discuss the potential of HTA to foster innovation, especially in the Asia region. Discussions and presentations during the 2023 APF were informed by a background paper, which forms the basis of this paper.

Comparative Study of Life-Cycle Environmental and Cost Performance of Aluminium Alloy–Concrete Composite Columns

As is widely known, the construction industry is one of the sectors with a large contribution to global carbon emissions. Despite numerous efforts in the construction industry to develop low-carbon materials, there is a limited number of studies quantifying and presenting the overall environmental impact when these materials are applied in a construction project as structural members. To address this gap, this study focuses on assessing the life-cycle performance of novel structural aluminium alloy–concrete composite columns. In this paper, the environmental impacts and economic aspects of a concrete-filled aluminium alloy tubular (CFAT) column and a concrete-filled double-skin aluminium alloy tubular (CFDSAT) column were assessed using life-cycle assessment (LCA) and life-cycle cost analysis (LCCA) approaches, respectively. The cradle-to-grave system boundary is considered for these analyses to cover the entire life-cycle. A concrete-filled steel tubular (CFST) column is also assessed for reference. All columns are designed to have the same load-carrying capacity and, thus, are compared on a level-playing basis. A comparison is also made of the self-weight of these columns. In particular, the self-weight of the CFST column is reduced by around 17% when the steel tube is replaced by an aluminium alloy tube, and decreased by 47% when the double-skin technique is adopted in CFDSAT columns. The LCA results indicate that the CO2 emission of CFST and CFAT is almost the same, which is 21% less than the CFDSAT columns due to the use of high aluminium in the latter. The LCCA results show that the total life-cycle cost of CFAT and CFDSAT columns is around 29% and 14% lower, respectively, than that of the CFST column. Finally, a sensitivity analysis was carried out to evaluate the effects of data and assumptions on the life-cycle performance of the examined columns.

Life cycle cost analysis in investment projects – examination of case studies and risk mitigation with Monte Carlo simulation

This work focuses on life cycle cost (LCC) analysis in the German natural gas infrastructure and recommends strategies to mitigate the uncertainties and risks involved using Monte Carlo simulation (MCS). It deals with the impact of input data and predicting the future development of input data on the results of the LCC analysis and discusses MCS for risk mitigation. Seven case studies for investments in Germany’s natural gas infrastructure are analyzed. In addition to the executed case studies, a case study from a scientific journal is included. The case studies were conducted between 2005 and 2015. Evaluation with real historical input data shows that the results of an LCC analysis depend on the reliability of input data and predictions on their development. The retrospective view shows that the best options are not always identified. Therefore, the results need to be validated using risk-mitigation methods, such as MCS. The executed case studies reflect the opinions of experts. This work shows how risk is mitigated through MCS while focusing on LCC analysis in the German natural gas infrastructure; however, the proposed risk mitigation with MCS can be adopted for other investment projects comprising capital expenditure (CAPEX) and operational expenditure (OPEX), for example, in construction, machines and other fields.

The importance of financial controls for maximizing results for small rural entrepreneurs

Brazil's agricultural sector is crucial for the economy and global food security, encompassing about 41% of the country's total land area and housing over 5 million agricultural establishments. According to the Brazilian Confederation of Agriculture and Livestock (CNA), agribusiness contributed 23.8% to the Gross Domestic Product (GDP) in 2023, highlighting its diverse production of agricultural commodities. While technological advancements have boosted productivity, a significant gap exists between large and small producers. Large producers often benefit from technological progress, whereas small producers—a significant portion of family farming—face substantial challenges. Family farming accounts for 67% of agricultural activity and 80% of global food production, yet it struggles with financial management, lack of knowledge, and limited access to credit and technology. Efficient rural management is essential for optimizing resources, reducing costs, and enhancing productivity on small farms. Implementing financial management practices, such as budgeting, cost analysis, and cash flow control, can help small producers make better use of their resources and lower expenses. Public policies like the National Program for the Strengthening of Family Farming (PRONAF) and the Food Acquisition Program (PAA) aim to support these producers by providing financing and securing markets for their products. Family farming holds significant potential for sustainable practices. With the right support, it can continue to play a vital role in the Brazilian economy and global food security, fostering a sustainable and prosperous future for the agricultural sector.

Cost and environmental impact analysis of slag repurposing as alternative solution to bricks

The world’s leading producer of Platinum Group Metal is South Africa and accounts for 94 percent of world’s platinum. Platinum smelters produce around 10 525,90 tons of slag annual of which accumulates as stockpile, never utilised. More storage area is required for continuous operation of the smelters to store slag. The aim of the research is to investigate the cost and environmental impact of repurposing slag into bricks for low-cost housing. AnyLogic simulation model specifically the Discrete Event Modelling (DEM) was employed for the modelling and simulation because of its capabilities compared to other models such as Flexsim, Vensim, ANSYS. The results indicate that 92 human resources are required to have functioning business that is able to manufacture and deliver bricks enough to build 326 houses per month. The operation is labour intensive to ensure more job opportunities are created and a total 368 personnel are employed permanently on all sites. The smelter potentially saves over R1,5 billion per operation and R5,6 billion across 4 sites over a decade by giving the slag away for free. The environmental pollution is improved as five heavy plant equipment is removed from the operation. The operation has potential to generate R392,2 million profit over 10-years.

Impact of freeze drying on the properties of palmitic acid extracted from Plantain stalk waste

The challenge of effectively preserving and concentrating palmitic acid from plantain stalk waste is compounded by the loss and degradation of the compound during traditional drying and extraction methods, which may lead to reduced yield and altered properties of the extracted palmitic acid. This study was aimed at evaluating the impact of the freeze-drying process on the properties of palmitic acid extracted from plantain stalk waste. The study involved preparing plantain stalks, applying freeze-drying or non-freeze-drying methods, extracting palmitic acid, and characterizing the samples using GC-MS, FTIR, XRD, EDX, and SEM. The GC-MS analysis revealed that freeze-drying significantly increased the concentration of palmitic acid compared to non-freeze-drying, as indicated by the higher peak area and height. FTIR spectra demonstrated that freeze-drying better preserved the structural integrity of palmitic acid, while XRD analysis showed enhanced crystalline structure and increased crystallite size in the freeze-dried sample. Additionally, EDX showed that freeze-drying increased the carbon content and decreased the oxygen content of the material, while SEM analyses indicated that freeze-drying resulted in a more porous and irregular surface compared to the denser, smoother structure of the non-freeze-dried sample. The mass, energy, and cost analysis revealed that freeze-drying resulted in a higher yield of palmitic acid compared to non-freeze-drying methods, which, despite being more cost-effective and requiring less energy, demonstrated a notable trade-off in extraction efficiency. The study showed that freeze-drying significantly improved the preservation, concentration, and structural integrity of palmitic acid extracted from plantain stalk waste compared to the non-freeze-drying method.

Cost of epilepsy in the Russian Federation

Background. Epilepsy underdiagnosis in Russia, population aging, innovative drugs and expensive treatment regimens, the introduction of additional and alternative methods such as neurosurgery, annually increase the cost for treatment of epilepsy patients. In this regard, an issue of maximizing benefits for the largest number of the population becomes relevant. Pharmacoeconomical research within the assessment of healthcare technologies helps to choose the most economically and medically effective treatment strategy among numerous alternatives.Objective: analysis of epilepsy-associated costs in the Russian Federation, aimed at supporting decision-making processes in the field of health policy and financing.Material and methods. The empirical study was based on collecting the data on a continuous sampling of 384 epilepsy outpatient records from subjects aged 19 to 79 years for the period 2019–2022. The issues related to all costs of epilepsy were discussed. While planning, conducting and analyzing these studies, the principles of strengthening the reporting of observational studies in epidemiology (STROBE) were taken into account.Results. The total annual per-patient expenditure on epilepsy treatment comprised a fifth of gross domestic product per capita. Indirect costs exceed direct cost savings. It was found out that the economic damage caused to society, family, and individual related to epilepsy is three times higher than the direct costs.Conclusion. The results obtained are consistent with other publications in which unemployment among epilepsy patients is one of the major cost-determining factors and illustrates a critical need to maintain employment for such patients or to find suitable alternative work through professional retraining.

Research on the Optimization Path of Strategic Cost Management under the Background of the Digital Economy

Under the background of the digital economy, the research on the optimization path of strategic cost management for enterprises is particularly important. This paper discusses key paths such as data-driven cost management systems, intelligent cost control, and collaborative cost management, revealing the profound impact of the digital economy on corporate cost management and proposing a series of optimization strategies. The data-driven cost management system requires enterprises to establish comprehensive data collection and analysis mechanisms, using big data and advanced analytical tools to achieve real-time monitoring and dynamic analysis of costs. This not only improves the accuracy of cost management but also enhances the enterprise's ability to respond to market changes. Secondly, the implementation of intelligent cost control, through automated and predictive cost management, enables enterprises to more effectively control and predict cost changes, thereby improving the efficiency of resource allocation and the quality of cost management decisions. Furthermore, the development of collaborative cost management emphasizes the synergy between internal departments of enterprises and with external partners. By breaking down information silos and promoting resource sharing and business collaboration, enterprises can achieve cost optimization throughout the entire value chain.

Economic burden of short-acting beta-2 agonist (SABA) overuse among asthma patients in Türkiye: a cost analysis with respect to the updated GINA treatment recommendations.

This cost of illness study aimed to determine economic burden of short-acting β2-agonist (SABA) overuse in Türkiye from payer perspective with respect to the updated GINA 2022 treatment recommendations. A total of 3,034,879 asthma patients comprised the study population, via estimations extrapolated from the Türkiye arm of the global SABINA III study. The economic burden (costs related to the drug use and severe exacerbations) was compared in subgroups of overall (≥ 0 canisters/year) vs. GINA-recommended (0-2 canisters/year, hypothetical population) SABA use and in subgroups of appropriate use (0-2 canisters/year, real population) vs. overuse (≥ 3 canisters/year) of SABA with extrapolation of SABINA Türkiye data to the Türkiye asthma population. Recommended SABA use was predicted to prevent 127,505 of 157,512 severe exacerbations per year in mild asthma patients and 2,668,916 of 3,262,800 severe exacerbations per year in moderate-severe asthma patients. Annual cost burden of not applying recommended SABA use (overall [≥ 0 canisters/year] vs. GINA-recommended [0-2 canisters/year] SABA use) in mild asthma and moderate-severe asthma patients was calculated to be €20.43 million and €427.65 million in terms of severe exacerbations, and to be €829,352 and €7.20 million in terms of drug costs, respectively. The total annual economic burden arising from not applying recommended SABA use was estimated to be €456.11 million. Appropriate use (0-2 canisters/year) vs. overuse (≥ 3 canisters/year) of SABA was associated with decreased frequency of severe exacerbations per year in mild asthma (from 129,878 to 27,634) and moderate-severe asthma (from 2,834,611 to 428,189) patients. SABA overuse in mild and moderate-severe asthma patients was estimated to yield an additional annual cost of €16.38 million and €385.59 million, respectively in terms of severe exacerbations, and a total €11.30 million additional drug cost. The overall annual economic burden arising from SABA overuse was estimated to be €413.27 million. The estimated annual total economic burden arising from not applying recommended SABA use (€456.11 million) and SABA overuse (€413.27 million) with respect to the updated GINA 2022 treatment recommendations indicates the substantial cost burden of SABA overuse to the Turkish National Health System, corresponding up to 26% of the total direct cost of asthma reported in our country.

Cost of Illness Studiesin clinical depression Using Discounting Methods: A Comprehensive Analysis

Abstract:This research delves into the intricate domain of Cost of Illness (COI) studies, also known as Burden of Disease (BOD), with a specific focus on depressive disorders. Employing a bottom-up approach, the study meticulously scrutinizes the economic implications of depression at various levels, emphasizing direct and indirect costs. The analysis integrates a detailed exploration of diverse discounting methods, including Net Present Value (NPV) and Discounted Cash Flow (DCF), with a particular emphasis on the Indian context to comprehend unique socio-economic factors.Methodologically, the study systematically reviews scientific literature over the past decade, utilizing databases such as Web of Science and Google Scholar. The inclusion criteria prioritize patient-based studies related to the cost of illness associated with depression. The research adopts a comprehensive approach, considering various methodologies and discounting techniques to enhance the understanding of economic implications.The comparative analysis of the total cost of illness across diverse countries unravels significant variations, highlighting the intricate nature of healthcare expenditures and economic structures. Specific breakdowns for each country consider factors suchas currency exchange rates, inflation, and Purchasing Power Parity (PPP) adjustments, shedding light on the complexities involved.The study across five countries highlights significant variations in depression-related costs. Direct medical costs have a mean of $42,668 (SD=16,940) with a high t-statistic of 27.83 (p-value 0.001), emphasizing substantial differences. Direct non-medicalcosts average $27,171 (SD=13,220) with a t-statistic of 14.07 (p-value 0.001), indicating a notable economic burden beyond medical expenses. Indirect costs related to depression stand at a mean of $63,816 (SD=25,230), with a t-statistic of 35.30 (p-value 0.001), highlighting significant impacts on productivity and societal costs. The total cost of illness, encompassing both direct and indirect costs, averages $113,590 (SD=43,990), with a t-statistic of 49.49 (p-value 0.001), reflecting the extensive economic implications of depression across these diverse nations.In conclusion, this comprehensive analysis contributes depth to our understanding of the economic impact of depressive disorders, providing valuable insights for policymakers, healthcare providers, and researchers. The research underscores the multifacetednature of the economic burden of depression, emphasizing variations across countries and advocating for comprehensive, context-specific approaches in assessing and addressing global implications. Acknowledging challenges with discounting methods, the paper identifies opportunities for refining methodologies and improving economic evaluations in the future, emphasizing the importance of nuanced insights for effective policymaking and healthcare strategies on a global scale.

Income Analysis and Break-Even Point of Mustard (Brassica juncea L.) Business: A Case Study of the Lubuk Makmur and Tani Makmur Farmer Groups in Mugirejo Village, Samarinda City, Indonesia

Horticulture is a field that has great potential to be developed in the agricultural sector, because it has advantages that are much higher than other commodities, such as high economic value and significant added value. The prospects for farming in Samarinda City have good prospects and most vegetable farmers rely on income from mustard farming. The research aims to analyze production costs and receipts as well as income from mustard greens farming in Mugirejo Village, Sungai Pinang District, Samarinda City. This research was conducted for four months starting from March 2024 to June 2024. The research was conducted at the Lubuk Makmur and Tani Makmur Farmers Groups, Mugirejo Village, Sungai Pinang District, Samarinda City. The method used in sampling was purposive sampling with a sample size of 22 respondents. The data analysis method used was an analysis of production costs, revenues, income, and BEP. The results of this study indicate that the duration of mustard cultivation from land preparation to harvesting in one mustard planting season is 40 days, with a planting area of ​​0.755 m2 or 0.034 ha, farmers spend production costs to run mustard farming activities of IDR 1.269.916,63 respondents-1 planting season-1 or IDR 40.976.680,00 respondents-1 planting season-1 ha-1. The average income received by mustard farmers is IDR2.642,471.59 respondents-1 planting season-1 or IDR 85.419.034,09 respondents-1 planting season-1 ha-1. The average income received by farmers in running mustard farming in the research area is IDR1.372.554,96 respondents-1 planting season-1 or IDR39.994.979,00 respondents-1 planting season-1 ha-1. The BEP selling price and BEP production volume of mustard farming in Mugirejo Village are respectively IDR8,696.39 kg-1 and 81.20 kg-1. The BEP value is smaller than the average selling price and production values, so it can be concluded that mustard farming is profitable.