Acquisition Costs Research Articles

An approach to designing efficient implementation of 30×30 terrestrial conservation commitments

AbstractIn response to biodiversity declines worldwide, over 190 nations committed to protect 30% of their lands and waters by 2030 (hereafter, 30×30). Systematic conservation planning and return on investment analysis can be helpful tools for determining where protection efforts could deliver the most efficient and effective reserve design, and supporting decision‐making when trade‐offs among objectives are required. Here, we propose a framework for efficient “30×30” implementation and apply it to the state of California (USA). Because conservation of a region's full suite of biodiversity is the primary objective of the global initiative, we prioritized representation in our analysis. We used Zonation to identify networks that close the gap in representation of major habitat types in California's protected area network and that also conserve the places important for biodiversity or climate change mitigation. We identified networks that are efficient relative to metrics likely to be important in implementation including land acquisition cost, number of transactions, and conservation benefit per hectare, and we illustrate not only trade‐offs associated with these metrics but also differences in the co‐benefits achieved. Five of the eight major habitat types in California are not currently protected at a 30% level statewide, and if representation was achieved solely through private land acquisition, targets could be met for as little as $5.84 billion, with as few as 364 transactions, or with 2.18 million additional conserved hectares. Implementation of 30×30 will likely require more flexibility than a single network design. A “no regrets” action would be to protect properties that were prioritized across all networks and additional implementation should include properties with characteristics of any of the individual networks. Our analytical framework and implementation guidance can be applied to other geographies and jurisdictions to increase the likelihood of both meeting 30×30 targets and delivering the conservation benefits they aim to secure.

Pricing dynamics of anti-seizure medications in the U.S.

BackgroundThe median cost of anti-seizure medications (ASM) in the United States (U.S.) nearly doubled per person between 2006 and 2021. This increase, combined with shifts in ASM usage and the impact of the COVID-19 pandemic on drug supply chains amid rising inflation, underscored the urgent need to scrutinize ASM pricing dynamics. This study aimed to analyze the complex dynamics of ASM pricing in the U.S. over the past decade (2013–2023); this included how the entry of generic ASMs influenced the pricing of brand-name counterparts and what impacted price variations across different ASM formulations (e.g., significant inflation, the COVID-19 pandemic). MethodsThis study utilized National Average Drug Acquisition Cost (NADAC) data from November 2013 to July 2023. We adjusted ASM prices for inflation using the Consumer Price Index for Medicinal Drugs - Seasonally Adjusted (CPI-MDS). Statistical analyses included fixed effects regressions and multivariable regression analysis to evaluate the impact of inflation, the number of medication labelers, and the COVID-19 pandemic on ASM prices. ResultsOur study analyzed 23 ASMs approved by the U.S. Food and Drug Administration (FDA), which encompassed 223 oral formulations:112 brand-name and 111 generics. From 2013–2016 to 2020–2023, accounting for standard deviations (SD), the average price of brand-name ASMs increased from $8.71 (SD 5.9) to $15.43 (SD 10.7), while generic ASMs saw a slight decrease from $1.39 (SD 1.8) to $1.26 (SD 1.6). Consequently, the price gap between brand-name and generic ASMs surged from 1452.39 % to 3399.26 %. The proportion of matched brand-name and generic ASMs with a price difference of 1000 %–9999 % increased from 32.88 % (2013–2016) to 41.43 % (2020–2023), while those exceeding 10,000 % rose from 16.44 % to 20 % in the same period. Generic immediate-release (IR) formulations were significantly less expensive than extended-release (ER) or delayed-release (DR) counterparts, with cost differences reaching up to 7751.20 %. The number of medication labelers was inversely related to generic ASM prices, which decreased by 5.45 % (p = 0.001) with each additional generic labeler, while brand-name ASM prices increased by 2.46 % (p < 0.001) with each additional generic labeler. The COVID-19 pandemic led to a 24.4 % increase in brand-name ASM prices and a 23.1 % decrease in generic ASM prices. ConclusionsThe findings reveal an expanding price disparity between brand-name and generic oral ASMs. An inverse relationship was observed between the number of medication labelers and generic ASM prices, with additional labelers driving down generic prices. However, introducing more generic labelers led to a significant increase in brand-name ASM prices. Furthermore, following patent expirations, brand-name ASM prices rose—a trend explained by the "generics paradox," where, contrary to expectations, brand prices do not decrease and may even increase when generics enter the market. These findings underscore the need for targeted interventions in drug pricing policies to manage the rising costs associated with epilepsy treatment. To ensure equitable access to ASMs, stakeholders must understand and address the factors driving these pricing dynamics.

Adjustable robust optimization for integrated fleet sizing and vehicle routing problem with simultaneous delivery and pickup in closed-loop supply chain management

ABSTRACT The fleet sizing problem is a critical challenge in closed-loop supply chains because of the additional requirements of managing product returns. To tackle this challenge, this study addresses the integration of fleet sizing with vehicle routing problem in closed-loop supply chain management, considering simultaneous delivery and pickup under demand uncertainty. A mixed-integer linear programming model is proposed to minimize vehicle acquisition and shipment costs, and a multi-stage adjustable robust optimization formulation is employed to handle uncertainty. Prior studies have neglected to address this important problem due to a lack of efficient solving methods. Hence, three exact, heuristic, and metaheuristic algorithms are developed to solve the problem. The numerical experiments demonstrate that the proposed methods outperform the existing Hyper-box based Branch-and-Partition method, improving computational efficiency and solution quality. This study also helps practitioners make better fleet sizing decisions under uncertainty.

Financial therapy for the Russian economy

Subject. The article addresses the monetary policy, balance of payments of Russia, securities market. Objectives. The aim is to assess the investment potential of the Russian economy, the banking system stability. Methods. The study employs methods of statistical analysis. Results. The paper shows that in the Russian economy, investment financing sources exceed the costs of net acquisition of non-financial assets. Opportunities to attract foreign investment by the middle of 2023 were largely lost. At the same time, there is an exponential growth in debt on loans from the non-financial sector, and an increase in the volume of intraday loans provided by the Bank of Russia. Conclusions. The nature of monetary policy is critical for Russia's economic development in the face of international sanctions.

Sustainable Decarbonization of Road Transport: Policies, Current Status, and Challenges of Electric Vehicles

Carbon dioxide (CO2) and other greenhouse gases (GHGs) are the primary causes behind the current rise in global temperatures and climate change. CO2, which is present in the atmosphere in significant quantities, is contributing more to the warming effect than other gases that are present at smaller levels. The transportation sector is contributing significantly to the total global CO2 emissions (21.7%), with road transport accounting for 74%. Switching from gasoline-powered vehicles to electric vehicles (EVs) is the most practical way to decarbonize land transportation. We have gathered information on EVs from the USA, China, India, and a few EU members for the current review. The collected data regarding government policies, subsidies, and other rules and laws, the present status of EV technology and performance, market scenarios and future projections of EVs, EV regulations in the regions with the highest penetration rates, consumer perspectives and barriers, and the decarbonization of land transportation were analyzed. The adoption of electric vehicles has advanced significantly in some parts of the world, primarily as a result of government policies that include subsidies, other regulations, and laws that globally lower the cost of acquisition and ownership for owners of electric vehicles (EVs) relative to those of internal combustion engines (ICEs). Favorable government policies have been associated with the success of EV adoption in Norway, China, the United States of America (USA), the European Union (EU), and India. With more advantages than any other country, China is currently the world’s largest EV market. In addition, it has the highest number of EVs in use and the highest manufacturing capacity. Norway leads the world in the percentage of newly registered EVs at over 90%. China is competing with the USA for leadership in manufacturing and technology, especially in the areas of artificial intelligence (AI) and batteries. Favorable perceptions of consumers regarding EVs are vital in increasing the EV adoption rate. In order to achieve the goal of decarbonizing road transportation, we proposed that a number of factors—including government energy policies and regulatory standard development, necessary infrastructure investments and developments, AI incorporation in EVs, innovation in EV and battery technologies, and consumer perspectives in particular—play a crucial role.

Barley disease recognition using deep neural networks

Plant disease negatively impacts food production and quality. It is crucial to detect and recognise plant diseases correctly. Traditional approaches do not offer a rapid and comprehensive management system for detecting plant diseases. Deep learning techniques (DL) have achieved encouraging results in discriminating patterns and anomalies in visual samples. This ability provides an effective method to diagnose any plant disease symptoms automatically. However, one of the limitations of recent studies is that in-field disease detection is underexplored, so developing a model that performs well for in-field samples is necessary. The objective of this study is to develop and investigate DL techniques for in-field disease detection of barley (Hordeum vulgare L.), one of the main crops in Australia, given visual samples captured at barley trials using a consumer-grade RGB camera. Consequently, A dataset was captured from test-bed trials across multiple paddocks infected with three diseases: net form net blotch (NFNB), spot form net blotch (SFNB), and scald, in various weather conditions. The collected data, 312 images (6000 × 4000 pixels), are divided into patches of 448 × 448 pixels, which are manually annotated into four classes: no-disease, scald, NFNB and SFNB. Finally, the data was augmented using random rotation and flip to increase the dataset size. The generated barley disease dataset is then applied to several well-known pre-trained DL networks such as DenseNet, ResNet, InceptionV3, Xception, and MobileNet as the network backbone. Given limited data, these methods can be trained to detect anomalies in visual samples. The results show that MobileNet, Xception, and InceptionV3 performed well in barley disease detection. On the other hand, ResNet showed poor classification ability. Moreover, Augmenting the data improves the performance of DL networks, particularly for underperforming backbones like ResNet, and mitigates the limited data access for these data-intensive networks. The augmentation step improved MobileNet performance by approximately 6 %. MobileNet achieved the highest accuracy of 98.63 % (the average of the three diseases) in binary classification and an accuracy of 93.50 % in multi-class classification. Even though classifying SFNB and NFNB is challenging in the early stages, MobileNet achieved the minimum misclassification rate among the two diseases. The results show the efficiency of this model in diagnosing barley diseases using complex data collected from the field environment. In addition, the model is lighter and comprises fewer trainable parameters. Consequently, MobileNet is suitable for small training datasets, reducing data acquisition costs.

Systematic conservation prioritization with the prioritizr R package.

Plans for expanding protected area systems (prioritizations) need to fulfill conservation objectives. They also need to account for other factors, such as economic feasibility and anthropogenic land-use requirements. Although prioritizations are often generated with decision support tools, most tools have limitations that hinder their use for decision-making. We outlined how the prioritizr R package (https://prioritizr.net) can be used for systematic conservation prioritization. This decision support tool provides a flexible interface to build conservation planning problems. It can leverage a variety of commercial (e.g., Gurobi) and open-source (e.g., CBC and SYMPHONY) exact algorithm solvers to identify optimal solutions in a short period. It is also compatible with a variety of spatially explicit (e.g., ESRI Shapefile, GeoTIFF) and nonspatial tabular (e.g., Microsoft Excel Spreadsheet) data formats. Additionally, it provides functionality for evaluating prioritizations, such as assessing the relative importance of different places selected by a prioritization. To showcase the prioritizr R package, we applied it to a case study based in Washington state (United States) for which we developed a prioritization to improve protected area coverage of native avifauna. We accounted for land acquisition costs, existing protected areas, places that might not be suitable for protected area establishment, and spatial fragmentation. We also conducted a benchmark analysis to examine the performance of different solvers. The prioritization identified 12,400km2 of priority areas for increasing the percentage of species' distributions covered by protected areas. Although open source and commercial solvers were able to quickly solve large-scale conservation planning problems, commercial solvers were required for complex, large-scale problems.. The prioritizr R package is available on the Comprehensive R Archive Network (CRAN). In addition to reserve selection, it can inform habitat restoration, connectivity enhancement, and ecosystem service provisioning. It has been used in numerous conservation planning exercises to inform best practices and aid real-world decision-making.

Symbiotic nitrogen fixation reduces belowground biomass carbon costs of nitrogen acquisition under low, but not high, nitrogen availability.

Many plant species form symbiotic associations with nitrogen-fixing bacteria. Through this symbiosis, plants allocate photosynthate belowground to the bacteria in exchange for nitrogen fixed from the atmosphere. This symbiosis forms an important link between carbon and nitrogen cycles in many ecosystems. However, the economics of this relationship under soil nitrogen availability gradients is not well understood, as plant investment toward symbiotic nitrogen fixation tends to decrease with increasing soil nitrogen availability. Here, we used a manipulation experiment to examine how costs of nitrogen acquisition vary under a factorial combination of soil nitrogen availability and inoculation with Bradyrhizobium japonicum in Glycine max L. (Merr.). We found that inoculation decreased belowground biomass carbon costs to acquire nitrogen and increased total leaf area and total biomass, but these patterns were only observed under low fertilization and were the result of increased plant nitrogen uptake and no change in belowground carbon allocation. These results suggest that symbioses with nitrogen-fixing bacteria reduce carbon costs of nitrogen acquisition by increasing plant nitrogen uptake, but only when soil nitrogen is low, allowing individuals to increase nitrogen allocation to structures that support aboveground growth. This pattern may help explain the prevalence of plants capable of forming these associations in less fertile soils and provides useful insight into understanding the role of nutrient acquisition strategy on plant nitrogen uptake across nitrogen availability gradients.

Budget impact analysis on the Italian healthcare system of roxadustat for the treatment of anemia due to chronic kidney disease

Objective: The aim of this study was to evaluate the economic consequences of the introduction of roxadustat on the market as treatment for chronic kidney disease (CKD)-related anaemia in Italy. Method: A budget impact model was developed to assess the economic impact of the introduction of roxadustat for the management of patient with CKD-related anaemia. The analysis was conducted considering National Health Service (NHS) perspective and three years’ time horizon. Eligible population for the treatment with roxadustat was estimated through published literature and clinicians’ support. Direct healthcare costs included drug acquisition (list prices for base case) and administration costs, monitoring costs, cost per blood transfusion, costs related to the management of adverse events and dialysis costs. Results: The model estimated a three years expenditure associated with the management of patients with CKD-related incident anaemia in Italy of about € 260 and € 44.6 million for non-dialysis dependent (NDD) and dialysis-dependent (DD) patients respectively. The introduction of roxadustat on the market could generate a reduction in the expenditure related to the iron supplementation both for NDD and for DD patients (−€ 397,305 and −€ 50,135 over three years of the analysis, respectively) and a reduction in the pharmaceutical expenditure for NDD patients (−€ 2.3 million, −€ 7.5 million and −€ 13 million at first, second and third year of the analysis). Overall, the introduction of roxadustat could generate a saving for NHS approximately equal to € 2.3, € 7.5 and € 13 million at first, second and third year of the analysis. Conclusion: The introduction of roxadustat could generate a reduction in the expenditure for the management of patients with CKD anaemia. A scenario analysis which used tender prices for ESAs and hypothesis of confidential discount for roxadustat showed that the saving for NHS will be kept if roxadustat’s discount is greater than 60.3%.

Information acquisition and tax avoidance: Evidence from a natural experiment

AbstractAnalyzing the launch of high‐speed rail (HSR) services in China as a natural experiment, we identify a positive externality stemming from lower information acquisition costs: the reduction in firms’ overinvestment in tax avoidance. Specifically, we find that outsiders undertake more corporate site visits and firms engage in less tax avoidance after the opening of HSR lines in the cities where these firms are located, leading to enhanced firm value. In another result consistent with expectations, we document that the impact of the introduction of HSR lines on tax avoidance is concentrated in firms in which insiders exhibit a high propensity to extract rents through aggressive tax strategies. Our results imply that more efficient transportation facilitates site visits and the acquisition of firm‐specific information, particularly soft information. This improvement strengthens external monitoring, thereby limiting the ability of insiders to accumulate private benefits under the guise of tax avoidance that benefits all shareholders as the residual claimants.

A Study on Key Performing Indicator and their Impact on Sales at MYBAE BAGS

Key Performance Indicators (KPIs) play an important role in the sales process in a competitive business environment. This study highlights the importance of KPIs in providing a structured way to measure, evaluate and optimize sales performance. KPIs, which include metrics such as sales revenue, conversion rates, customer acquisition costs, sales growth, and average transaction value, provide valuable insight into aspects of the sales process. Based on organizational goals and industry standards, these metrics help companies make data-driven decisions, reinforce accountability, and drive continuous improvement. This study explores the bag industry, divided into fashion, travel, sports, business and specialty bags. Advances in technology have led to the use of lighter and stronger materials and the inclusion of features such as RFID blocking sensors and integrated circuits. This industry is global and has a significant contribution to the economies of the world and India. Research methods include the collection of primary and secondary data using data analysis techniques to determine market size and forecast. A PESTEL analysis of an industry examines the political, economic, social, technological, environmental and legal issues affecting the industry. The report also provides an overview of MYBAE BAGS, highlighting its business segments, revenue growth, and market strategies. This study highlights the importance of KPIs in driving strategic change and achieving sustainable growth, positioning KPIs as important tools for organizations seeking to improve sales performance and good management

Fuel-optimal acquisition and control of a cartwheel formation in Earth displaced heliocentric orbit

An optimization approach for cartwheel formation acquisition and maintenance in an Earth Displaced heliocentric orbit is presented. This work considers non-gravitational perturbations such as solar radiation pressure, thus extending the studies previously performed for the mission LISA. The problem is tackled as a Nonlinear Programming problem using a multiple shooting method. The optimization process is performed in two steps: first, the orbital elements of each satellite in heliocentric orbit are optimized to guarantee the stability during the science phase hence easing maintenance of the cartwheel formation in presence of orbital perturbations. Then, the obtained initial states are propagated to obtain a set of target orbital states which become the final target of a second optimization covering the transfer phase from Earth. For the science phase optimization presents two alternative cost functions are introduced, one based on the arm-length evolution and one on the arm-length-rate evolution. The performance of each cost function is analysed for different initial displacement angles: for target arm-lengths below 2.5 million kilometers the arm-length cost function provides the best results while no significant difference between the two optimized solutions is observed above this value. The transfer phase optimization presents two different approaches, one considering an injection on a trajectory more favourable for one of the three spacecraft and one considering an injection on an intermediate trajectory which minimizes the overall acquisition cost of all spacecraft. The proposed optimization approach performance are studied on a set of test cases covering both transfer and science phase, showing that stable configuration conditions can be found even in presence of orbital perturbations and that the multiple injection transfer is capable of providing a more homogeneous fuel consumption among the three spacecraft.

US cost-utility model of lenacapavir plus optimized background regimen (OBR) vs fostemsavir plus OBR and ibalizumab plus OBR for people with HIV with multidrug resistance.

Heavily treatment-experienced (HTE) people with HIV (PWH) have limited treatment options owing to multidrug resistance (MDR). Lenacapavir (LEN) is indicated, in combination with other antiretrovirals, for the treatment of adults with MDR HIV-1 experiencing failure of their current antiretroviral regimen because of resistance, intolerance, or safety considerations. To evaluate the cost-utility of LEN in combination with an optimized background regimen (OBR) vs alternative recently approved treatments for HTE PWH, fostemsavir (FTR)+OBR and ibalizumab (IBA)+OBR, for the treatment of PWH with MDR, from a mixed US health care payer perspective. A Markov state-transition model with a lifetime time horizon was developed. Transition probabilities between viral load categories were based on individual participant data from the CAPELLA trial for LEN+OBR and on relative efficacy parameters obtained from indirect treatment comparisons for comparators. Health state utilities were sourced from the literature. Costs included drug acquisition costs, drug administration costs, disease management costs, adverse event costs, AIDS-related event costs, and treatment switching costs and were sourced from red book costs, Medicare and Medicaid fees, and the literature. Costs and outcomes were discounted at 3% annually. The model was used to estimate total and incremental costs, life-years (LYs), quality-adjusted life-years (QALYs), and incremental cost-effectiveness ratios. A deterministic and a probabilistic sensitivity analysis, as well as scenario analyses, were performed to address elements of uncertainty in the model and to explore the robustness of the results. Over a lifetime time horizon, LEN+OBR was associated with the highest absolute QALYs (9.41) and the greatest number of LYs (12.09) compared with FTR+OBR (QALYs: 8.75; LYs: 11.26) and IBA+OBR (QALYs: 8.36; LYs: 10.78). LEN+OBR was also associated with the lowest total lifetime costs of the 3 interventions (LEN+OBR: $1,441,122 [US dollars]; FTR+OBR: $1,504,986; IBA+OBR: $1,524,396) and therefore was dominant over both comparators in the base case. LEN+OBR remained dominant vs FTR+OBR and IBA+OBR across the range of scenarios tested and LEN+OBR had a 99% probability of being cost-effective compared with FTR+OBR and IBA+OBR in the probabilistic sensitivity analysis at a willingness-to-pay threshold of $50,000/QALY. This economic evaluation demonstrated that LEN+OBR provides meaningful increases in QALYs and LYs, and is dominant over a lifetime time horizon, compared with FTR+OBR and IBA+OBR for the treatment of PWH with MDR in the United States.

Commercial markups on pediatric oncology drugs at 340B pediatric hospitals.

Eligible pediatric hospitals can purchase clinician-administered drugs at discounted rates through the 340B Drug Pricing Program and charge payers prices exceeding drug acquisition costs, but the magnitude of these markups is not known. In a study of newly approved oncology drugs at pediatric 340B hospitals, median negotiated prices ranged from 102% (interquartile range [IQR]: 91%-156%) of average sales price (ASP) at Phoenix Children's Hospital to 630% (IQR: 526%-630%) at Driscoll Children's Hospital. Pediatric hospitals participating in the federal 340B Drug Pricing Program can extract steep payments on new drugs from commercial insurers, though with wide variation between and within hospitals.

Implementation of Government Accounting Standards Statement (PSAP) Number 05 Concerning Inventory Accounting at the Minanga Community Health Center, Manado City

This research evaluates the application of Government Accounting Standards Statement (PSAP) Number 05 concerning inventory accounting at the Minanga Community Health Center, Manado City. PSAP Number 05 regulates the recognition, measurement and disclosure of inventories in government financial reports. The methods used include observation, interviews and document analysis. The research results show that inventory recognition and measurement are in accordance with standards, such as the application of the FIFO method and acquisition costs. However, inventory disclosure in the Notes to Financial Reports (CALK) is less detailed. This research recommends improvements in disclosure to increase transparency and compliance with PSAP 05, as well as providing a reference for improving accounting practices in government health institutions.

ICT ADOPTION AMONG REAL ESTATE AGENTS IN MALAYSIA

The success of real estate agents relies on the ability to provide better services to their clients efficiently and seamlessly. The use of Information and Communication Technology (ICT) is benefiting real estate agents by making it more convenient for real estate agents to find clients, advertise the property, and facilitate the property transaction process, which is indubitable. Therefore, the main objective of this study is to assess the level of ICT usage by real estate agents in valuation and agency firms in Klang Valley, Malaysia. Data were gathered through a survey conducted with these firms, and 400 responses were collected using a quantitative study and analysed using descriptive statistics and the Relative Importance Index (RII) ranking. The study revealed that most respondents adopt ICT in their practices, with the most frequently used tools being Mobile Instant Messaging, Social Media, and Real Estate Agent Websites. However, technologies such as Virtual Reality, Augmented Reality, Robotic Process Automation, and Metaverse Real Estate are rarely utilised. The study concluded that the widespread application of ICT in real estate is evident. However, inadequate training, higher cost of acquisition, and shortage of skilled people are the barriers that limit its full potential within the sector. This study recommends that the top management of valuation and agency firms provide training programs and ongoing support that cater to the specific needs of real estate agents.

Cost-utility analysis of romiplostim for the treatment of chronic primary immune thrombocytopenia in China.

This study aimed to assess the cost-utility of romiplostim (ROMI) compared to eltrombopag (EPAG) as a second-line treatment for chronic primary immune thrombocytopenia (cITP) in Chinese adults. A decision tree-embedded Markov model with a lifetime horizon was used to estimate the quality-adjusted life years (QALYs) and costs for ROMI versus EPAG from the perspective of the Chinese health care system. The model was driven by platelet response with a 4-week cycle. Both QALYs and costs were discounted 5% per year. Clinical data comparing ROMI and EPAG were obtained by matching-adjusted indirect comparison (MAIC), utilizing individual patient data on ROMI and published Chinese Phase III trial data on EPAG. Costs were reported in 2022 US dollars and included drug acquisition costs, monitoring costs, bleeding-related costs, and costs associated with adverse events. Deterministic and probabilistic sensitivity analyses were performed. The CEA model indicated that treatment with ROMI resulted in an average of $4,344.4 higher costs for 0.004 QALYs. One-way sensitivity analysis (OSA) indicated that the model was most sensitive to the high bleeding rate in response (Markov stage) for EPAG and ROMI. Probabilistic sensitivity analysis (PSA) indicated that ROMI was likely to be cost effective in 0.16% cases at a willingness-to-pay threshold of $12039.1 (China per capita GDP in 2022) per QALY. If the price of ROMI is either lower than or equal to that of EPAG, ROMI could likely be considered cost-effective as a second-line treatment for Chinese adults with cITP.

Cost-effectiveness of consolidation durvalumab for inoperable stage III non-small cell lung cancer in Vietnam

BackgroundThis study aimed to assess the cost-effectiveness of durvalumab as a treatment option for patients with inoperable stage III non-small cell lung cancer (NSCLC) from healthcare and partial societal perspectives...

Penerapan Anggaran Penjualan Sebagai alat Perencanaan dan Pengendalian Persediaan Barang Jadi untuk Mengoptimalkan Laba

This research discusses the application of the sales budget as a tool for planning and controlling finished goods inventory. The aim of this research was carried out based on the application of a sales budget to find out how to implement a sales budget which can be used as a planning and control tool for finished goods inventory to optimize profits at CV Wecono Asri. The type of research used in this research is descriptive quantitative, namely providing a picture of the actual situation of the object under study based on facts, by collecting data processing such as collecting related data, namely raw material costs, labor costs and factory overhead costs. The data examined in this research is from 2021 to 2022 as a basis for calculating sales forecasts in 2023 which will then be prepared for implementing the sales budget. From the results of the research that has been carried out, it shows that the implementation of the sales budget at CV Wecono Asri is more controlled compared to before the sales budget was prepared because the resulting acquisition costs also increase due to the difference between the profit and loss budget report and the profit and loss realization report, which produces results The final difference in profit and loss was IDR 16,660. So with these results it is recommended that CV Wecono Asri prepare a sales budget, production budget, raw materials budget, labor budget and factory overhead budget, the company will get a greater profit than the previous year.

Open Photonics: An integrated approach for building a 3D-printed motorized rotation stage system

In the context of experimental optics- and photonics-research, motorized, high-precision rotation stages are an integral part of almost every laboratory setup. Nevertheless, their availability in the laboratory is limited due to the relatively high acquisition costs in the range of several 1000€ and is often supplemented by manual rotation stages. If only a single sample is to be analyzed repeatedly at two different angles or the polarization of a laser source is to be rotated, this approach is understandable. Yet, in the context of automation and the associated gain in measurement time, cost-effective and precise rotation stages designed for the use of optics are lacking.We present a low-cost alternative of a motorized high precision rotation stage system. The design is based on a combination of 3D-printed components, which form the monolithic mechanical framework, and a stepper motor controlled by an ESP32 based microcontroller. By coupling the motor and rotation unit via a toothed belt, backlash is minimized and at the same time high positioning accuracy can be achieved. Finally, the implementation of remote procedure calls for serial communication and the utilization of a physical home switch and incremental encoder complete the desired feature set of an integrated system for laboratory setups. The total costs can thus be reduced to less than 100€ without significantly restricting the performance criteria.