Start-up Costs Research Articles

The costs and the potential allocation of costs of bouillon fortification: The cases of Nigeria, Senegal, and Burkina Faso.

Food and condiment fortification programs are needed to address micronutrient deficiencies and their health, developmental, and mortality consequences; but these programs are never free. Knowing program costs and their allocation across stakeholders is essential to design and manage effective, efficient, and sustainable programs. We developed 10-year hypothetical bouillon fortification program cost models for Nigeria, Senegal, and Burkina Faso that included start-up and operational costs for government and industry, as well as premix costs generated by an embedded premix cost calculator to allow for alternative premix formulas in cost calculations. The main drivers of total costs were total bouillon consumption and the types and amounts of fortificants in the micronutrient premix. For a premix that meets 30% of Codex Nutrient Reference Values in 2.5g of bouillon for vitamin A, folate, vitamin B12, zinc, and iron, the cost per metric ton of fortified bouillon was ∼$325 for all countries (∼$0.01 per 2.5g serving). Annual start-up costs ranged from ∼$324k (Burkina Faso) to ∼$455k (Nigeria); nonpremix annual operating costs ranged from ∼$108k (Burkina Faso) to ∼$3.9m (Nigeria); and annual premix costs varied from ∼$2.4m (Burkina Faso) to ∼$76m (Nigeria). In policy discussions, program costs should be set alongside nutritional benefits.

Chaotic Sea-Horse Optimizer for Profit-Based Unit Commitment to Maximize the Profit of GENCOs in Restructured Power System Considering Reserve Allocation

Objectives: The primary objective of this research work is to solve the Profit Based Unit Commitment (PBUC) problem in Power Generation Companies (GENCOs) in the competitive Electricity market. The energy and spinning reserve allocation are considered to maximize the profit of power generation companies. Methods: A new and recently developed optimization technique of Chaotic Sea-Horse Optimizer (CSHO) is planned for an optimal solution PBUC problem. The control parameters of CSHO are the number of Population is 50, the Chaotic map parameter is 4, the dimensions are 10, and the maximum number of iterations is 100 are considered to achieve the global optimal solutions. The competitive study with standard golden approaches of the LR method and other soft computing techniques such as GA, PSO, etc. are considered for performance evaluations of CSHO. The proposed CSHO is mainly based on the natural behavior of Sea-Horse in the ocean. The MATLAB 15.0 platform is utilized for the expected problem. Findings: The CSHO was tested on a standard IEEE-39 bus system (10 generators and 24 hours) with reserve allocation. The CSHO technique improves the total profit of GENCOs with various test loads and reserve demand. The simulation results like Optimal UC schedule, power generation of thermal plants, fuel cost, startup cost, revenue, and profit are displayed. The percentage of total profit of 29.76% is improved when compared with the mathematical approach of the LR method with 102 second time period. Novelty: The CSHO has currently developed an effective algorithm that easily reaches the global optimal solutions. The CSHO mimics the movement, hunting, and breeding behavior of sea-horses in nature. Implementation of chaotic maps helps to improve the convergence speed of the proposed method. Keywords: Deregulation, Profit Based Unit Commitment, Energy and Reserve Allocation, Cost Minimization, Profit of GENCOs, Chaotic Sea-Horse Optimizer

Clays-based geopolymers: a sustainable application as adsorbent of cytostatic drugs for water purification

The administration of cytostatic drugs in chemotherapy is steadily increasing, triggering thus a risk to the environment. Identifying powerful ways to effectively remove these hazardous pollutants from hospital and effluent wastewater before they discharge into the aquatic environment remains a critical and challenging task. Adsorption is among the most effective ways to treat contaminated water due to the wide availability and selectivity of the adsorbents besides the simplicity and the low start-up costs of the technique. In this work, a geopolymer, elaborated from an illito-kaolinitic clay (Douiret region of Tunisia) and industrial waste (silica fume and phosphogypsum), has been tested as promising decontamination of the cytostatic drugs paclitaxel (PCX) and irinotecan (IRI) from water samples. The foamed geopolymer was characterized using X-ray diffraction, Fourier transform infrared, scanning electron microscopy and thermogravimetric analysis before and after adsorption. Adsorption batch assays were performed using different concentrations of PCX and IRI, contact times and environmental conditions. The geopolymer had an excellent removal efficiency (almost 100% for PCX and 89% for IRI) using 20 mg of adsorbent and 2.5 mg/L of each drug concentration. The characterization results showed that cytostatic drugs were adsorbed to the geopolymer through physical interactions, pore filling, electrostatic attraction and hydrogen bonding. The specific surface area and pore volume of the geopolymer were 82.23 m2/g and 0.19 cm3/g, respectively. In addition to its cost-effective properties, the geopolymer demonstrated excellent efficiency in contaminated natural samples (including influent, effluent wastewater and surface water) denoting a great application for water purification.

Impacts of Plug-in Electric Vehicles and Renewable Energy Source on Unit Commitment Problem using Cat Mouse Based Optimization A lgorithm

Objectives: The main objective of this paper is to solve the Cost Based Unit Commitment (CBIC) problem considering Renewable Energy Sources (RES) and Plug-in Electric vehicles (PEVs). The proposed problem minimizes the total operating of the interconnected system. Methods: A novel and recently developed successful optimization tool of Cat and Mouse Based Optimizer (CMBO) is proposed for optimal solution of Cost Based UC problem. The proposed CMBO approach is having two groups such as Cat group and Mice group for searching the global optimal solution with less computational time. It contains two phases like Cat’s movement towards Mice and Mice escape to a safe place is effectively updating the new position of Cat and Mice to easily reaching the best solutions. The control parameter of CMBO is number of agents is 50, number of variables is 10 and maximum number of iteration is 500. MATLAB 14.0 platform is utilized for the projected problem. Findings: The method tested on standard IEEE-39 bus system (10 generators and 24 hour) with an equivalent PEV and Wind farm. The CMBO approach minimize the total operating cost with various test cases. The outcomes such as UC schedule, Real power output of thermal, wind and PEV units, fuel cost, startup cost and total operating cost of the interconnected system are numerically and graphically reported. The total operating cost is 4.11 % minimized when compared with base case approach and 0.73 % reduced than the other existing method viz. Parallel UCs-RP method. Novelty: The CMBO is recently developed powerful optimizer and parameter free algorithm, so easily reaches the global optimal solutions. The obtained simulated results are compared with other mathematical and intelligent computational approaches for proving the efficiency and performance of the proposed CNBO technique. Keywords: Unit Commitment, Plug­in Electric Vehicles, Renewable Energy Sources, Cost minimization, Cat and Mouse Based Optimizer

Pixels to Paychecks: Understanding The Determinant of Latent Entrepreneurial Transition in Digital Context

In the ever-changing landscape of China’s digital economy, comprehending the transition drivers from latent to active participation in entrepreneurship is critical. This research explores the factors shaping the decisions of latent entrepreneurs to become active entrepreneurs in a digital context. Using simple random sampling, this study randomly selected 18 industries within China’s major cities. This study collected cross-sectional data from 485 respondents in high-tech and low-tech industries across six major Chinese cities and tested the model using partial least structural equation modeling (PLS-SEM). Statistical findings conducted by SmartPLS reveal a nuanced interplay between personal factors and external traits in shaping the transition to active entrepreneurship. In particular, entrepreneurial competence, digital skills and literacy, and adaptability are crucial personal factors influencing this transition. Access to the necessary technology, startup cost, market and customer base, and government support are external traits found to significantly shape individual decisions to venture into digital entrepreneurship. Surprisingly, Logistics and Transportation (LAT) had no substantial impact on the transformation. This investigation strengthens entrepreneurship theory while also providing policymakers and industry actors with practical insights. Personalized training for entrepreneurs, spending on digital infrastructure, evidence-based regulations, and enhanced business innovation initiatives are among the recommendations.

Healthy Communities for Youth: A Cost Analysis of a Community-Level Program to Prevent Youth Violence

Youth violence is a national public health concern in USA, especially in resource-constrained urban communities. Between 2018 and 2021, the Healthy Communities for Youth (HCFY) program addressed youth violence prevention in select economically marginalized urban communities, with the HCFY program reducing the likelihood of youth-involved violent crime. Leveraging costs from program expense reports, this study analyzes the costs of the HCFY program in order to inform policymaking and the program’s future ongoing implementation. Total HCFY program costs were $821,000 ($290,100 annually including program start-up costs) over the 34-month project period. Operationalization costs contributed the largest share (64.8%), with 45% attributable to intervention coordinators. In the intervention community, the program costs $100 per capita, $1100 per youth-involved crime case, and $8100 per youth-involved violent crime case. Findings were sensitive to the number of youth-involved crime or violent crime cases and costs of high-level program leadership and self-evaluation analysts, with the per youth-involved violent crime case cost ranging between $700 and $1600 over the program period. Analysis of HCFY program costs is an important step in determining the affordability of a community-level program to prevent youth violence in resource-limited urban communities.

On neutron generator applications in Brazil: current panorama and perspectives

Techniques based on neutron beams are used in research, industry and medicine being especially suitable for the characterization of a wide variety of materials. Neutron radiation can be produced using nuclear reactors, isotopic sources, or particle accelerators. Since the number of reactors is in decline and isotopic sources are expensive and difficult to handle, neutron generator (NG) technology has experienced significant development. Neutron generators are safer than nuclear reactors and isotopic sources, and the use of NGs is increasing worldwide, including in Brazil. This article reviews the main applications of neutron radiation, neutron production techniques, and specifically the technologies used in neutron generators. An overview of the utilization of these techniques in Brazil is presented, along with studies on acquisition and start-up costs of neutron-generating equipment and perspectives for future utilization in various areas.

Examination of AI Enhanced Distributed Systems and its Effects on Software Engineering

Distributed systems are groups of independent computers that appear to the system's users as a single coherent system. These systems involve several critical factors, including network communication, concurrency, and fault tolerance, which are vital in software engineering. For example, cloud computing platforms like Amazon Web Services (AWS) use distributed systems to offer scalable, on-demand resources to millions of users worldwide. The introduction of Artificial Intelligence (AI) into software engineering marks a transformative period that reshapes traditional development processes and breaks down the complexity of distributed systems. AI automates routine tasks and simplifies complex processes, serving as a digital collaborator that enables developers to focus on strategic thinking and creativity. One significant advantage of using AI in distributed systems within software engineering is enhanced resource optimization. AI can identify irregularities that might indicate hardware malfunctions and take preventative measures to address them, such as rerouting traffic to healthier servers. However, distributed systems also have challenges, including increased complexity in system design, difficulty ensuring data consistency, and potential security vulnerabilities. The intricate structure of these systems can result in problems with high startup costs, safety risks, and the accuracy of the data provided. Integrating AI into distributed systems offers both significant advantages and disadvantages. This study evaluates how AI impacts the efficiency and security of distributed systems in software engineering. By analyzing the advantages and disadvantages of AI-enhanced distributed systems, we can gain a comprehensive understanding of their overall effectiveness and implications in the field.

The Role of Technology in Improving the Effectiveness of Employee Recruitment and Selection

This research explores the role of technology in improving the effectiveness of employee recruitment and selection. Against the background of the importance of an effective recruitment and selection process for organizational performance, this research focuses on identifying the latest technologies that can optimize the process and evaluating their impact on speed, cost, and accuracy in employee selection. A qualitative approach with a literature study method was used to extract information from various relevant sources. The results show that the use of technologies such as applicant tracking systems (ATS), artificial intelligence (AI), and digital platforms can increase candidate reach, reduce recruitment time and costs, and improve accuracy and candidate experience. However, challenges such as start-up costs, training needs, and resistance to change were also identified. This research provides practical recommendations for organizations looking to adopt technology in employee recruitment and selection to achieve operational efficiency and competitive advantage.

Start-Up and Implementation Costs for the Trust Based Relational Intervention.

Capturing costs associated with prevention activities related to substance use disorders (SUD) and mental health (MH) is critical. In this study, Trust Based Relational Intervention (TBRI®), an attachment-based, trauma-informed intervention, is conceptualized as a preventive intervention to reduce substance and opioid use among youth involved with the legal system. When implemented alongside community reentry, TBRI leverages family systems as youth transition from secure residential care into communities through emotional guidance and role modeling. Activity-based cost (ABC) analysis was used to guide cost data collection and analysis for both start-up and implementation of the TBRI intervention. Start-up costs were estimated using data across eight sites during their start-up phase. All components, activities, personnel involved, and time associated with implementation of TBRI sessions according to protocol were defined. National wages were extracted from O*NET and utilized to calculate total costs for each TBRI component. Total and average TBRI intervention costs were calculated with a breakdown by TBRI sessions and number of staff and participants. A sensitivity analysis was conducted to estimate TBRI implementation costs with travel. The total cost for the TBRI intervention, representing 42 sessions, ranges from $6,927, without travel expenses or $12,298, with travel expenses. The average per family cost ranges from $1,385 (without travel) to $2,460 (with travel). Costs are primarily generated by time investments from primary interventionists. The sensitivity analysis shows costs for responsive coaching would double with travel costs included. Results aim to show that using ABC for prevention activities, like TBRI, to understand cost drivers can facilitate future intervention sustainability.Clinical Trail.gov ID: NCT04678960.

Commercial application in solar PV

Solar photovoltaic (PV) technology has been widely used in the past decades due to its potential for sustainability and energy supply. With the continuous strengthening of peoples awareness of environmental protection, solar PV energy has become an important renewable energy technology recognized in the world after years of development. However, the use of solar PV technology has presented several detrimental flaws, including high startup costs, inefficient material usage, and inconsistency. This paper is going to introduce the application of this technology, including electric vehicles, off-grid and grid-tied solar PV systems used in homes. We will also discuss the advantages and disadvantages of using solar PV panels in residential buildings. The results suggest that the implementation of off-gridic Solar PV systems for power generation at residential buildings being highly significant. In addition, a Grid-Tied Solar PV system also allows the household to sell electricity back to the grid in surpluses, which may bring a monumental leap toward more sustainable and energy-efficient living. In addition, the installation and maintenance of grid-Tied Solar PV systems are also important. In this context, solar PV energy stands out as one of the most promising solutions as a renewable energy.

Formulation of Hydroponic Green Vegetable Marketing Strategies in Indonesia as An Effort to Enhance Competitiveness

This comprehensive analysis focuses on crafting effective marketing strategies for hydroponic vegetables and fostering future development within the industry. Employing a SWOT analysis and adopting a holistic marketing approach, the goal is to create strategies that not only capitalize on strengths but also address weaknesses, seize opportunities, and mitigate threats. These strategies aim to empower industry producers by aligning with integrated economic benefits, ensuring their sustained success. The outcomes of this strategic analysis will serve as invaluable references for promoting hydroponic vegetables. The industry can showcase its sustainability and quality by leveraging strengths such as efficient resource utilization and controlled environments. Addressing weaknesses like public perception challenges and potential high start-up costs will be crucial in developing a well-rounded approach. Seizing opportunities in the growing demand for fresh, locally sourced produce and the increasing interest in sustainable agriculture, the strategies will position hydroponic vegetables as a forward-looking choice. Simultaneously, mitigating threats like market competition and regulatory hurdles will be integral to long-term viability. In essence, the resulting strategies aim to create a resilient marketing framework that promotes hydroponic vegetables and contributes to the overall economic prosperity of industry producers.

Thoughts on the past, present and future of UHV surface chemistry and the birth of Single-Atom Alloys

Throughout its relatively short lifetime, ultra-high vacuum (UHV) surface chemistry has progressed quickly. In the 1960′s, pioneers like Ertl and Somorjai started the field using single crystals and gained significant insight into catalytic processes by relating surface structure to reactivity. The more recent proliferation of scanning probes has significantly increased the power of the single crystal approach by enabling the atomic-scale structure of active sites to be correlated with their reactivity. In this perspective we briefly discuss how the field developed, identify some challenges, and highlight Single-Atom Alloys (SAAs), a new class of heterogeneous catalyst that was developed from a fundamental surface science approach. However, despite recent successes, funding for fundamental surface science has declined. Academic hires in the discipline are also declining in part due to the start-up costs. We make the case that fundamental UHV surface chemistry is still too young a field to be in recession.

A tripartite evolutionary game study on the governance of online catering riders’ traffic violations from the perspective of collaborative regulation

ABSTRACT In the online catering industry, delivery riders’ traffic violations significantly threaten public transportation safety, inadequately addressed by current regulations from the government and online platforms. This paper proposes a government-led collaborative regulatory mechanism with active platform participation. A tripartite evolutionary game model, including the government, platforms, and riders, evaluates this approach. Findings suggest that collaborative regulation forms when the combined start-up and subsidy costs of government-led regulation are less than the total benefits of collaboration and when the cost difference between active and passive platform participation is less than the total benefit of active participation. Effective regulation occurs when combined penalties for riders’ violations exceed the profit difference between illegal and compliant deliveries. Reducing government regulation start-up costs and increasing penalties and enforcement probabilities can promote compliance among riders. Excessive subsidies to platforms do not effectively control violations, indicating the need for balanced subsidy allocation for optimal regulatory effectiveness.

Entrepreneurship, growth and productivity with bubbles

Entrepreneurship, growth and total factor productivity are larger when asset prices are high and decline during financial crises. We explain these facts using a growth model with financial bubbles in which individuals have heterogeneous wages and returns on productive investment. Heterogeneity separates individuals between savers and entrepreneurs. Savers buy financial assets, which are deposits or a financial bubble. Entrepreneurs incur in a start-up cost and borrow to invest in productive capital. The bubble provides liquidities to credit-constrained entrepreneurs. These liquidities increase investment, growth and entrepreneurship. Finally, the bubble may increase productivity when the return of each entrepreneur’s investment is positively correlated with her previous income.

Cost-effectiveness of implementing performance-based financing for improving maternal and child health in Ethiopia.

Performance Based Financing (PBF) supports realization of universal health coverage by promoting bargaining between purchasers and health service providers through identifying priority services and monitoring indicators. In PBF, purchasers use health statistics and information to make decisions rather than merely reimbursing invoices. In this respect, PBF shares certain elements of strategic health purchasing. PBF implementation began in Ethiopia in 2015 as a pilot at one hospital and eight health centers. Prior to this the system predominantly followed input-based financing where providers were provided with a predetermined budget for inputs for service provision. The purpose of the study is to determine whether the implementation of PBF is cost-effective in improving maternal and child health in Ethiopia compared to the standard care. The current study used cost-effectiveness analysis to assess the effects of PBF on maternal and child health. Two districts implementing PBF and two following standard care were selected for the study. Both groups of selected districts share common grounds before initiating PBF in the selected group. The provider perspective costing approach was used in the study. Data at the district level were gathered retrospectively for the period of July 2018 to June 2021. Data from health service statistics were transformed to population level coverages and the Lives Saved Tool method used to compute the number of lives saved. Additionally for purpose of comparison, lives saved were translated into discounted quality-adjusted life years. The number of lives saved under PBF was 261, whereas number of lives saved under standard care was 194. The identified incremental cost per capita due to PBF was $1.8 while total costs of delivering service at PBF district was 8,816,370 USD per million population per year while the standard care costs 9,780,920 USD per million population per year. QALYs obtained under PBF and standard care were 6,118 and 4,526 per million population per year, respectively. The conclusion made from this analysis is that, implementing PBF is cost-saving in Ethiopia compared to the standard care. Due to lack of district-level survey-based data, such as prevalence and effects on maternal and child health, national-level estimates were used into the LiST tool.There may be some central-level PBF start-up costs that were not captured, which may have spillover effects on the existing health system performance that this study has not considered.There may be health statistics data accuracy differences between the PBF and non-PBF districts. The researchers considered using data from records as reported by both groups of districts.

Cost analysis of establishing and operating the first human milk bank at Da Nang Hospital for Women and Children in Vietnam: an activity-based costing ingredients study

BackgroundBreastfeeding is the biological norm for feeding infants and young children. When mothers’ breastmilk is unavailable, donor human milk (DHM) from a human milk bank (HMB) becomes the next option for small vulnerable newborns. A comprehensive cost analysis is essential for understanding the investments needed to establish, operate, and scale up HMBs. This study aims to estimate and analyze such costs at the first facility established in Vietnam.MethodsAn activity-based costing ingredients (ABC-I) approach was employed, with the cost perspective from service provision agencies (specifically, the project conducted at Da Nang Hospital for Women and Children and Development Partners). Estimated financial costs, based on actual expenditures, were measured in 2023 local currency and then converted to 2023 US dollars (USD). We examined three scenarios: 1) direct start-up costs + indirect start-up costs + implementation costs, 2) direct start-up costs + implementation costs, and 3) capital costs + implementation costs over the 6.5 years of operation.ResultsThe total start-up cost was USD 616,263, with total expenditure on direct activities at USD 228,131 and indirect activities at USD 388,132. Investment in equipment accounted for the largest proportion (USD 84,213). The monthly costs of Da Nang HMB were USD 25,217, 14,565, and 9,326, corresponding to scenarios 1, 2, and 3, respectively. Over HMB's 6.5 years of operation, on average, the unit costs were USD 166, USD 96, and USD 62 for DHM received and USD 201, USD 116, and USD 74 for pasteurized DHM meeting specified criteria in the corresponding scenarios. Unit costs were highest in the initial six months, decreased, and reached their lowest levels after a year. Then, the unit costs experienced an increase in late 2020 and early 2021.ConclusionAlthough the unit cost of DHM in Da Nang HMB is comparable to that in certain neighboring countries, intentional measures to reduce disposal rates, improve HMB efficiency, motivate more community-based donors, and establish an HMB service network should be implemented to lower costs.

Exploring the social acceptability of hybrid sweetgum plantations in the south-central United States

Hybrid sweetgum has potential as a dual-purpose plantation in the southern United States due to its rapid growth and suitability for planting on a wide range of sites. To understand its social acceptability, a survey instrument was administered among 3,000 private landowners in the states of Texas, Oklahoma, Louisiana, and Arkansas. The survey results showed that a considerable percentage of landowners (41 %) were uncertain and would probably benefit from more information available to them on the topic. A multinomial logit analysis found that landowners who had timber management objectives were more interested in growing hybrid sweetgum if it was profitable and practically feasible. Similarly, female landowners and those having higher education were found to be more interested in growing hybrid sweetgum. Study findings suggest a need for outreach on economic feasibility, management, start-up costs, and tax implications concerning hybrid sweetgum plantations.

Winning the US–China Technology Race

The United States’ current rivalry with China should be seen as a technology race in which the ability to imagine, discover and apply innovations will decide who wins. While the United States spends more than China on research and development (R&D), China’s state-centred system enables it to transform funding and talent into deployed capabilities faster than the United States’ private-enterprise-centred system can. Accordingly, the US must avoid complacency about the inherent advantage of the democratic-capitalist system in scientific discovery and devise more effective mechanisms for stimulating free enterprise to develop new military technology. This requires the US Department of Defense to devote more resources to R&D by asking allies to contribute more for military operations, and to better incentivise military innovation by investing funds in private enterprise to defray start-up costs before production can yield steady revenue.

Multi-Objective Optimization Scheduling of Microgrids Considering Single Use Cost of Energy Storage and Unit Combination Startup and Shutdown Cost

Abstract Microgrids typically consist of various energy resources such as thermal power, solar energy, wind energy, energy storage, and so on. These energy resources have different characteristics and fluctuations. By utilizing the characteristics of different energy resources in a complementary and synergistic manner, their energy utilization efficiency can be promoted and the system stability can be improved. This paper considers the energy storage device in the completion of a single charge and discharge loss, that is, the single-use cost. Special attention to the impact of start-stop costs of unit combinations on microgrid operations. It proposes that in the daily dispatch and operation of microgrids, sinking costs can be reasonably reduced within a reasonable range, and power supply reliability can be appropriately lowered to improve the economic performance of power systems. Using the single-use cost of energy storage devices and the start-stop costs of unit combinations as variables, their impact on the economic operation of isolated microgrids is analyzed. For grid-connected microgrids with the objectives of minimizing operating costs and achieving optimal environmental protection, an optimal balance between economic and environmental performance is achieved through solving by Anti-Entropy weight method and Particle Swarm Optimization combination.