Amount Of Reserves Research Articles

Diffusion of N2/CH4/CO2 in Heptane-Containing Nanoblind Ends

The prevalence of micropores and nanopores in low-permeability reservoirs is a cause for concern, as it results in a sizeable quantity of oil reserves being trapped within them. The water-gas dispersion system has the capacity to expand the reservoirs’ wave volume and enhance oil recovery. While the microscopic oil repulsion mechanism has been the center of attention, the oil repulsion effect of three distinct types of gases (N2, CH4, and CO2) is of particular importance in understanding the displacement mechanism of N2/CH4/CO2 on heptane at the blind end of the nanometer. A molecular dynamics simulation using the LAMMPS software was employed to construct a model of a blind end of heptane on a SiO2 wall and an interface model with different types of gas molecules. This was done to investigate the microscopic mechanism of heptane replacement by gas molecules. The temperature (50 °C) and pressure (30 MPa) of the reservoir in the Changqing oil field are selected as the parameters for analysis. The findings indicate that all three types of gas molecules can enter the blind end and displace heptane. However, supercritical CO2 forms a mixed phase with heptane, which is more prone to extruding oil molecules situated near the inner wall surface of the blind end and desorbing the oil film. The results demonstrate that, in the context of the blind end, gaseous CO2 exhibits a lower solvation ability but superior extrusion diffusion ability for heptane compared to N2 and CH4. Furthermore, the interaction energy indicates that the interactions between two states of CO2 and heptane, as well as the thickness of the interface, increase with increasing pressure and temperature. The findings of this study elucidate the microscopic mechanism underlying the replacement of oil droplets or oil films at the blind end by different gases under reservoir conditions at the molecular level and offer further guidance for the selection of the gas phase and the replacement state in the water-gas dispersive drive system.

An optimal approach for active power reserve of a de-loaded PV generator operating in coordination with synchronous generators

The de-loading operation of PVs, where PVs are operated with an active power reserve has picked up the interest of the researchers in the last few years. However, in an integrated system, where the PV generators are operated in coordination with the synchronous generators, the estimation of the amount of the active power reserve of the PV generator is crucial. A very high reserve will cause an excessive economical loss and a very low reserve will deteriorate the frequency regulation capability. Therefore, in this paper, the cost function of an integrated system is minimised using the particle swarm optimisation algorithm, and the amount of power reserve of the PV generator and operating power values of synchronous generators are obtained as a result of the minimisation. Further, the frequency response of the system for the obtained power reserve value is investigated by suddenly adding the load in the system. The lowest and highest system costs of 2521.87 and 4474.98 $/h are obtained for the irradiance 1000 and 400 W/m2 respectively, and upon a significant load change, the frequency deviation limits to 0.4513 for a reserve value of 29.0712 MW. System modelling and validation have been carried out in the SIMULINK toolbox of the MATLAB software.

PROSPECTIVE RESERVE AND FULL PRELIMINARY TERM RESERVE ON ENDOWMENT LAST SURVIVOR LIFE INSURANCE USING CLAYTON COPULA

Combined life insurance is a type of insurance that protects two or more people who are related by family and is divided into two, namely joint-life life insurance and last-survivor life insurance. The last survivor life insurance is a condition of life insurance that will continue if there is at least one of all insurance participants who is still alive and will stop if all insurance participants die. The insurance company has to pay the benefit to the heirs of the insurance participant. When a claim occurs, the insurance company must prepare the reserve fee. The purpose of this research is to determine the amount of premium reserve of endowment last-survivor life insurance using prospective reserve and full preliminary term reserve. Full preliminary term reserve is one of the modified premium reserve calculations from Zillmer Reserve. To determine prospective reserve and full preliminary term reserve using the initial life annuity, single premium, and annual premium. Whereas the initial life annuity is influenced by the combined life and death opportunity of the insurance participants. Furthermore, the combined life and death opportunity of insurance participants will be obtained from Clayton copula and to obtain the parameter of Clayton copula, Rstudio software is used. Based on the result, the value of prospective reserves and full preliminary term reserves has increased every year and prospective reserves produce a greater value than full preliminary term reserves. If the insurance company uses this reserve calculation, the reserve that the company must prepare will increase every year. This is useful for insurance companies in predicting the amount of reserves they must have.

Estimasi Cadangan Batugamping Menggunakan Block Model Berdasarkan Metode Interpolasi IDW pada IUP OP 231 Karangkemojing

The increasing development of infrastructure development has an impact on the increase in cement demand. Cement is used as the main raw material in making concrete and other construction materials. Therefore, limestone mining as a raw material for cement is also increasing. One of the areas that has prospects for limestone mining is IUP OP 231 Karangkemojing which is still in the exploration stage. The purpose of this study is to determine the geological and geomorphological conditions of the study area, determine the amount of limestone reserves, and determine the estimated mine life based on production targets. The methods used in this research are field observation and laboratory analysis including petrographic analysis and X-Ray Fluorescence (XRF) analysis. Furthermore, the calculation of limestone reserves was carried out using block modeling and the Inverse Distance Weighting (IDW) interpolation method processed using Surpac software. Based on field geological mapping, the research area is included in the wavy hilly and steep hilly structural landforms, which consist of two lithological units, namely sandstone and claystone intermixture units and limestone units. The results of the calculation of limestone reserves in the study area were obtained at 61,444,362 tons with an estimated mine life of about 24 years and 6 months.

Peramalan Cadangan Devisa Menggunakan Metode Double Smoothing Exponential dan Metode Fuzzy Time Series

This study aims to forecast the amount of foreign exchange reserves using two methods, namely Double Smoothing Exponential and Fuzzy Time Series. This foreign exchange reserve data is time series data, namely monthly data starting from January 2017 to February 2024 with a total of 86 monthly data. Furthermore, to see the level of accuracy of the forecast results, the Mean Absolute Percentage Error (MAPE) and MSE values ​​are used where the smaller the error value produced, the more accurate the forecast results from the Double Smoothing Exponential Holt and Fuzzy Time Series Cheng methods. The results of forecasting the amount of foreign exchange reserves in March 2024 using the Holt method are 144434.19 and for the Cheng method are 140008.032. The double exponential smoothing method has an MSE value of 8625715.609 and a MAPE value of 1.69%. Meanwhile, with the fuzzy time series method, the MSE value is 11651319.400 and the MAPE value is 1.96%. Forecasting using these two methods has a very good level of accuracy, because it has a MAPE value below 10%. Based on the results of this analysis, it can be seen that the double exponential smoothing method from Holt has a smaller forecast error size than the Cheng fuzzy time series method. Thus, it can be concluded that the Double Exponential Smoothing method is a better method for predicting the amount of foreign exchange reserves.

Analysis of urban necessities reserve index and reserve quantity under emergency conditions.

While maintaining a robust reserve of daily necessities is crucial for urban safety, but there is a lack of scientific basis for determining "what to store" and "how much to store." This paper address this gap by classifying and summarizing the emergency materials of urban necessities in Shanghai, and establishing a corresponding reserve list. By constructing an index model of daily necessities reserve, this paper provides a scientific foundation for "what to store." Additionally, the reserve levels of different types of daily necessities are classified and managed, the reserve model of emergency daily necessities is constructed. This approach clarifies the scientific basis for "how much to store," overcoming the problems of subjective factors interference and the potential mismatch between the results of objective weighting method and reality. Furthermore, to better cope with emergencies, countermeasures and suggestions are put forward: optimizing the material structure of emergency reserves, managing the material reserves at different levels, scientifically and reasonably planning the amount of emergency materials, and reducing the cost of reserves and improve the efficiency of emergency reserves.

Analysis Of Future Health Insurance Premium Reserve Calculations Using The Commissioners Method With Woolhouse Formula

A premium reserve is the amount of funds that the insurance company needs to prepare for the payment of liability benefits when a claim occurs. One method of calculating premiums is the commissioners method which is an extension of the prospective reserve method.The main factor in the actuarial calculation is the mortality rate that can be determined using the WOOLHOUSE mortality law. This study aims to determine the size of the life insurance premiums reserve using the commisioners method and the WOLHOUSE mortality laws. The calculation of the premium reserve is linked to the determination of a person's chances of survival over a period of years of WOALHOUSE law which is then used to find the value of the insurance, the initial annuity value, the annual premium, the modified premiums based on the Commissioners method, and the amount of the premie reserve at the end of the year. The study was conducted on a 25-year-old woman who was enrolled in a dwiguna life insurance program with a 25 year liability period and a 23 year premium payment period at a 4% interest rate with a liability of Rs. 500,000,000. The results of the analysis showed that the large reserves of premiums obtained at the end of the period of liability with the Commissioners method and the WOOLHOUSE mortality law are equal to the given reservation value, so that the insurance company is prepared to give the amount of reservation promised to the policyholder.

Life Table Prediction Using the Lee-Carter Model

<span lang="EN-US">Mortality is the state where all signs of life permanently, which can occur at any time after a person is born. Mortality data can be presented in the form of table called a mortality table, which is a table that provides an overview of the life of a population group starting from births at the same time and life of a population group that starts from birth at the same time and slowly decreases due to death. In actuarial studies, this table has a role as one of the important factors to determine the amount of premium costs and premium reserves, especially life insurance. Therefore, it is necessary for continuity in conducting research related to mortality tables. This research aims to forecast the death rate and the probability of death of the population in the future using the Lee-Carter model, which is a mortality forecasting model that combines a demographic model with a time series model. This mortality model shows that the logarithm of mortality rate is the sum of the parameters of the average general mortality rate by age and the multiplication of the trend parameter of mortality rate changes by age with the mortality index parameter. Forecasting process begins with estimating the parameters of the average mortality rate and the trend of mortality rate changes influenced by the mortality index parameter using the singular value decomposition (SVD) method. After that, the mortality index mortality index is forecasted using the ARIMA model and the results of this forecast are then reinserted into the Lee-Carter model to obtain death rate prediction. Based on the results of the mortality rate prediction, it can then be the prediction of the probability of death for the mortality table. The result of this research is a mortality table that contains predictions of the probability of death of the Indonesian population for both male and female gender using the Lee-Carter model from the year 2022 2026. Based on these results, it is concluded that the value of the probability of death for each year increases with increasing age.</span>

Micromechanical variation of organic matter (kerogen type I) under controlled thermal maturity progression

Shale formations have recently gained plenty of attention owing to their large amounts of reserves. Horizontal drilling and hydraulic fracturing are the proposed approaches for the development of shale formations. The extended information of the mechanical properties of shale formation is crucial for designing a successful hydraulic fracturing operation. On the other hand, the mechanical properties of such organic-rich formations are greatly affected by the mechanical characteristics of the present kerogen (organic matter), which dramatically changes during the maturation process. In this study, a Qingshankou shale sample containing kerogen type I is mechanically investigated at different maturity levels using the grid nanoindentation approach. To this end, the original immature sample is artificially matured during hydrous (HP) and anhydrous (AHP) pyrolysis. More than 930 nanoindentation tests were performed on grids of 9 × 8 on the surface of 13 samples with different maturities. The test results showed that the presence of water during pyrolysis can significantly affect the shale sample’s mechanical characteristics. In higher temperatures and higher levels of maturity, the role of water becomes more pronounced. During hydrous pyrolysis, kerogen produces larger amounts of oil and bitumen, which become progressively porous. While the original sample showed a Young’s modulus value of more than 48 GPa, and it fluctuated between approximately 19 and 32 GPa during the HP scenario and between 17 and 34 GPa during the AHP process. In terms of hardness, the original sample exhibited an initial value of about 1.1 GPa and more mature samples reflected hardness values in the range of approximately 0.3 and 0.97 GPa in both scenarios. According to the trends of mechanical properties during maturation, mechanical properties decreased at the initial stage of maturation and remained relatively constant during the oil window. Then, another decline was detected at the wet-gas window’s closure. In the dry-gas window, HP and AHP scenarios exhibited different behaviors mainly due to the chemical structure of the kerogen residue.

Nickel Smelter Moratorium: Efforts to Establish Laws to Ensure Legal Certainty of Investment

The downstream effort is not solely an economic motive, but there are efforts to pursue the target of net zero emissions through the development of Electric Vehicles (EV). Therefore, in the future the transportation sector will shift to the EV ecosystem. Support for the EV ecosystem requires components such as batteries whose the raw materials come from nickel ore produced using hydrometrological methods. This research uses a normative legal research method (legal research) which combines secondary materials in the form of supporting data on the application of Law Number 3 of 2020 concerning Amendments to Law Number 4 of 2009 concerning Mineral and Coal Mining in Indonesia. In this research, the authors concludes that the increase in investment of nickel downstream projects has raised concerns about the amount of Indonesian nickel reserves, so the government should planning a moratorium on RKEF type smelters and switching to HPAL smelters. To ensure legal certainty, the government must form regulations aimed at complying with mechanisms and procedures that are in accordance with state administration and capital investment.

Local adaptation of trophic strategy determined the tolerance of coral Galaxea fascicularis to environmental fluctuations

The escalation of global change has resulted in heightened frequencies and intensities of environmental fluctuations within coral reef ecosystems. Corals originating from marginal reefs have potentially enhanced their adaptive capabilities in response to these environmental variations through processes of local adaptation. However, the intricate mechanisms driving this phenomenon remain a subject of limited investigation. This study aimed to investigate how corals in Luhuitou reef, a representative relatively high-latitude reef in China, adapt to seasonal fluctuations in seawater temperature and light availability. We conducted a 190-day plantation experiment with the widespread species, Galaxea fascicularis, in Luhuitou local, and from Meiji reef, a typical offshore tropical reef, to Luhuitou as comparison. Drawing upon insights from physiological adaptations, we focused on fatty acid (FA) profiles to unravel the trophic strategies of G. fascicularis to cope with environmental fluctuations from two origins. Our main findings are threefold: 1) Native corals exhibited a stronger physiological resilience compared to those transplanted from Meiji. 2) Corals from both origins consumed large quantities of energy reserves in winter, during which FA profiles of local corals altered, while the change of FA profiles of corals from Meiji was probably due to the excessive consumption of saturated fatty acid (SFA). 3) The better resilience of native corals is related to high levels of functional polyunsaturated fatty acid (PUFA), while insufficient nutrient reserves, possibly due to weak heterotrophic ability, result in the obstruction of the synthesis pathway of PUFA for corals from Meiji, leading to their intolerance to environmental changes. Consequently, we suggest that the tolerance of G. fascicularis to environmental fluctuations is determined by their local adapted trophic strategies. Furthermore, our findings underscore the notion that the rapid adaptation of relatively high-latitude corals to seasonal environmental fluctuations might not be readily attainable for their tropical counterparts within a brief timeframe.

Innovative lithology identification enhancement via the recurrent transformer model with well logging data

In the field of oil and gas exploration and development, accurately predicting lithology is crucial for strategic decision-making. Identifying subsurface rock types helps determine the distribution, quantity, and recoverability of oil and gas reserves, guiding exploratory efforts and increasing the likelihood of successful resource extraction. Our research focuses on enhancing lithology prediction accuracy through the development of the Recurrent Transformer model. This innovative model combines the Transformer architecture with recurrent elements, optimizing the processing of well logging data, inherently comprising time-series information. The recurrent structure effectively learns local contextual information, improving responsiveness to geological variations impacting lithology. Additionally, we integrated the Recurrent Scale-wise Attention (RSA) mechanism into our model, uniquely suited to well logging data. RSA captures and interprets multi-scale information by implementing attention mechanisms at varying scales, enhancing the model's understanding of sequence data. The recursive element within RSA further strengthens the model's ability to process contextual nuances. Key well log curves, including Density (DEN), Acoustic (AC), Gamma-ray (GR), and Compensated Neutron Log (CNL), serve as primary data sources for extracting geological features. These features are input into the Recurrent Transformer, establishing correlations between lithological characteristics and well logging parameters. Comparative analysis with leading-edge models using an experimental dataset revealed the Recurrent Transformer's high prediction accuracy and remarkable generalization capabilities across diverse lithological prediction tasks and geological conditions. This model represents a significant advancement in machine learning for well logging lithology prediction, providing geologists and engineers with a precise and efficient tool, enhancing resource exploration and development quality and reliability. The Recurrent Transformer model showcases the potential of integrating advanced machine learning in geosciences, opening new horizons in oil and gas resource exploration and utilization.

Sleep Posture Influences Metabolic Rate And Vigilance in The Common Whitethroat (Curruca Communis).

Migration is an important life-history strategy that is adopted by a significant proportion of bird species from temperate areas. Birds initiate migration after accumulating considerable energy reserves, primarily in the form of fat and muscle. Sustained exercise, such as during the crossing of ecological barriers, leads to the depletion of energy reserves and increased physiological stress. Stopover sites, where birds rest and restore energy, play a fundamental role in mitigating these challenges. The duration of resting at stopover sites is influenced by environmental and physiological conditions upon arrival, and the amount of body fat reserves plays an important role. While sleep is recognized as essential for all organisms, its importance is accentuated during migration, where energy management becomes a survival constraint. Previous research indicated that individuals with larger fat reserves tend to sleep less and favor an untucked sleep posture, influencing energy recovery and anti-predatory vigilance. We explored the relationship between sleep behavior and posture, metabolic state, and energy conservation strategies during migration in the common whitethroat (Curruca communis). We were able to confirm that sleeping in a tucked position results in metabolic energy savings, at the cost of reduced vigilance. However, whitethroats did not show alterations of their sleep patterns as a response to the amount of stored reserves. This suggests that they may not be taking full advantage of the metabolic gains of sleeping in a tucked posture, at least at this stage of their migratory journey. We suggest that, to achieve optimal fuel accumulation and maximize stopover efficiency, whitethroats prioritize increased foraging over modulating their sleep patterns.

Influence of sand grain size on the nest escape of green sea turtle hatchlings

Sea turtle hatchlings rely on their finite energy reserve to sustain embryonic development in underground nests and during the first few days of their post-hatch life, including nest escape, beach crossing, and swimming offshore. This study aimed to investigate if the grain size of the nest substrate has an impact on green sea turtle (Chelonia mydas) hatchlings’ energy usage during nest escape. About-to-hatch green sea turtle eggs were incubated in laboratory chambers filled with either coarse-grain sand (φ = 0.507 phi) or fine-grain sand (φ = 2.028) at a temperature of 28oC. Open-flow respirometry was used to measure the hatchlings’ oxygen consumption rate during nest escape, which was then converted to energy consumption values. Results showed that hatchling morphology, hatching success, emergence success, and synchronous emergence rate were not significantly different between the groups of hatchlings in coarse versus fine sand. Hatchlings that dug through coarse sand emerged significantly faster (168 ± 13.9 h) than those in fine sand (233.21 ± 12.6 h) (t (26) = –3.473, p = 0.002). Additionally, the hatchlings in coarse sand (310.55 ± 28.1 kJ) consumed significantly less energy than hatchlings in fine sand (474.85 ± 64.7 kJ) (t (17.739) = –2.328, p = 0.032). A difference in amount of energy reserve upon emergence was detected between coarse and fine sand groups. To improve hatchery management practices, relocating “doomed” clutches into coarse sand (φ = 0.507) could potentially maximise the hatchlings’ energy reserve.

Analysis of the Stability of the Banking Sector of Azerbaijan in Conditions of Economic Crisis Based on the Econometric Model

This article is devoted to the influence of a number of macroeconomic indexes on the amount of reserves for possible losses in the Azerbaijan banking sector.The purpose of research. The purpose of the research to analyze the stability of the banking sector to the impact of macroeconomic shocks in the economy, study what the concept of financial stability of the banking sector includes, and what methods are used in the process of its analysis and assessment, investigate the dependence of a number of variables characterizing the state of the banking sector on various macroeconomic shocks inherent in the economy, analyze how the Central Bank is involved in regulating and monitoring the financial stability of the banking sector, as well as through what measures it supports banks in times of crisis.Materials and мethodology. The practical stage of the work is to create a multiple regression model that will reveal the degree of impact of macroeconomic shocks on the position of the Azerbaijan banking sector. To carry out the analysis and construct regression equations, quarterly data for the period 2012-2023 were used. Information was taken from a number of sources: 1) Official website of the Central Bank of Azerbaijan; 2) Official website of Ministry of Finance; 3) Official website of Azerbaijan State Statistics Committee; 4) Reports on the development of the banking sector and banking supervision. To analyze and estimating the values of the dependent variables of provisions for possible losses and return on assets, values for the banking sector as a whole are taken from annual reports on the development of the banking sector and banking supervision.Since the source data in the work is quarterly, our model will be a time series estimated using the ordinary least squares (OLS) method. Lagged variables may be included in the time series. The lags in the explanatory variables take into account the degree of possible lag with which macroeconomic shocks affect banks. In other words, changes in the values of macroeconomic factors do not have an immediate impact on the position of banks, but appear after some time and are delayed [7]. Such lags need to be identified and taken into account in order to form a more accurate and complete picture of the impact of macroeconomic fluctuations on the banking sector.During preliminary diagnostics of the data, the presence of heteroscedasticity and first-order autocorrelation was revealed. To eliminate it, Newey-West corrections are applied, adjusting the variation-covariance matrix to obtain more consistent estimates of regression coefficients.Results. When selecting indexes to study the degree of impact of macroeconomic factors on the stability of the banking sector, we took into account the peculiarities of the economy of our country. The fact is that Azerbaijan is a raw materials country, the export of which consists of almost 70% of fuel and energy products [30]. This means that the size of export revenues, the financial position of companies and the stability of the economy are highly dependent on the price situation in the global energy market, namely the price of oil.In addition, Azerbaijan belongs to a number of countries with an emerging market, which is characterized by increased volatility of exchange rates and instability of financial markets and high interest rates and spreads. Therefore, our country is characterized by the risk of a sharp outflow of capital in the event of a crisis in the world, as investors seek to withdraw their funds from countries that are most vulnerable to the influence of macroeconomic shocks.GDP dynamics are one of the important indicators of the economic activity of the state. Its fall during the crisis negatively affects various spheres of economic and social life [8].The Baku stock exchange index reflects the state of the stock market of large companies, which are the most important for the country’s economy [9]. The collapse of the index means a deterioration in the position of companies, a decrease in the market value of their assets and shares, and increases problems with paying external debt and obtaining new loans to ensure the functioning of their activities. In addition, the collapse of quotes on the stock market leads to large losses as a result of their negative revaluation.Conclusion. When conducting a research of the sustainability of the banking sector in Azerbaijan based on an econometric model, it is necessary to take into account certain limitations. First, the availability and reliability of data is an important aspect that can affect the accuracy of the study results. Secondly, to fully understand the issues under study, it is necessary to take into account the context and specifics of the banking system of Azerbaijan. Finally, this study does not examine social and political factors that may also influence the sustainability of the banking system. Limitations of the study should be considered when interpreting the results and making recommendations.

MODEL OF LATERITE NICKEL DEPOSITS BASED ON LGSO AND HGSO VALUES PT MITRA KARYA AGUNG LESTARI

The laterite nickel deposit model provides information about the form of laterite nickel deposits below the surface, which can be used as one of the considerations in the implementation of mining activities. The purpose of conducting this research is to determine the distribution model of nickel laterite deposits in 3 dimensions (3D) and to determine the amount of nickel laterite reserves based on high-grade saprolite ore (HGSO) and low-grade saprolite ore (LGSO) values in the DH Block. In this research, Inverse Distance Weighted (IDW) is used to estimate nickel laterite resources, which are applied using mining software Surpac 6.3.2 to produce a model in 3D form. The data used are laterite nickel content data (assay), x, y, and z coordinate data (collar), survey data, and lithology data. Based on IDW estimation results with a Cut Off Grade (COG) value of 1.3 in the DH Block of PT Mitra Karya Agung Lestari, High-Grade Saprolite Ore (HGSO) values were obtained at Ni content 1.7 and Low-Grade Saprolite Ore (LGSO) at Ni content 1.3, with a tonnage value of 111.994 tons of HGSO and 371.044 tons of LGSO.

Abstract 5441: Down regulation of cysteine glutamate antiporter in ALDH1A1 expressing oral and breast cancer stem cells induced oxidative stress triggered ferroptosis

Abstract Background: Sulfasalazine, an xCT inhibitor, is being used as a repurposed antineoplastic drug to induce ferroptosis. Ferroptosis is a regulated necrotic cell death pathway that is dependent on iron reserves. Interestingly, cancer stem cells (CSCs) that are regarded as major drivers of resistance to conventional therapies accompanied with tumor relapse and recurrence have bulk amount of iron reserves in the form of ferritin. This suggests that inducing ferroptosis might disrupt stemness and drug resistant mechanisms in cancer stem cells, thereby reducing the risk of drug resistance, cancer recurrence, and relapse. Materials & Methods: In the present study, ALDH1A1 expressing oral (OCSCs) and breast (BCSCs) cancer stem cells were sorted and used to investigate the role of sulfasalazine to induce ferroptosis. To check the self-renewability of CSCs spheroid formation assay was performed and the resultant CSCs were treated with sulfasalazine (SAS) and subjected to gene expression analysis RT PCR and flow cytometry. FACS was performed to check stem cell marker expression, cell cycle arrest, and apoptosis. Results: Our results suggest that the cells showed a gradual increase in sphere formation till S3 in the case of OCSCs and S2 in the case of BCSCs, with a gradual decrease in sphere forming efficiency from the respective generations. When treated with 0.6mM SAS, these cells induced ferroptosis by downregulating stem cell markers like ALDH1A1, SLC7A11, ferritin, and GPx 4 with a concomitant increase in transferrin and STEAP 3. Flow cytometry studies revealed that the cells have undergone mitochondrial dysfunction characterized by loss of membrane potential and the cell cycle progression was halted in the G2/M phase. Conclusion: In the present study, we demonstrate that SAS potentially induced ferroptosis accompanied with oxidative stress in both OCSCs as well as BCSCs by lowering GPx 4 activity, a key enzyme that scavenges the products produced as a result of oxidative stress. Citation Format: Ravishankar Bellala. Down regulation of cysteine glutamate antiporter in ALDH1A1 expressing oral and breast cancer stem cells induced oxidative stress triggered ferroptosis [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 5441.

Establishing International Monetary System Version 3.0 to Solve Triffin Dilemma

International Data Currency, abbreviated as Digital Currency, is issued by the United Nations. The first issue of “digital currency”, which anchors globally, is the sum of “foreign exchange cash” + “foreign exchange reserves” + “small amount of gold reserves”. Every year, “digital currency” is issued to anchor the weighted average of the three “data elements” including “①International trade annual increment + ②International investment annual increment + ③United Nations’ annual budget” globally, anchoring no physical assets anymore. Each contracting party of the International Monetary Convention shall apply for “digital currency” from the United Nations in accordance with regulations based on the sum of items ① and ② of their respective fiscal years. On the basis of IMF and others, Monetary Agency of the United Nations is supposed to be established. Besides, the International Data Currency Trading and Settlement Platform is supposed to be established based on SWIFT and other technologies. The United Nations charges a “service fee” for each transaction through various systems, which can replace the membership fee. All external debts of debtor countries shall be exempted. The credit limit of each creditor country shall be fully repaid by the United Nations in digital currency. “International Monetary System Version 3.0” shall be established to solve Triffin Dilemma.

Risk Perception-Based Project Contingency Management Framework

Project risk management (PRM) involves identifying risks, assessing their impact, and developing a contingency plan. A structured contingency management (CM) approach prevents subjective biases in analyzing risks and developing responses. Previous studies have either focused on improving the accuracy of risk estimates or analyzed, from a qualitative perspective, the relationships between perceived risk and project performance. This study aimed to improve PRM by providing a risk-perception-based contingency management framework (CMF). The CMF guides contingency depletion based on two short- and long-term cost overrun indicators and their respective thresholds. Thresholds and the initial contingency reserve amount are determined by applying the Monte Carlo method to a stochastic, discrete-event, finite-horizon, dynamic project simulation model. The study developed the CMF through a structured approach, validating the simulation model on eight specific project configurations. The results prove that the framework can be applied to any project, shaping the risk response strategy. This study contributes to PRM by explaining the relationships between risk perception and risk responses and providing a prescriptive CM tool.

Food Availability Analysis based on Land Suitability Evaluation on Paddy Production in Banyumas Regency, Indonesia

Land suitability evaluation for specific uses can be prepared based on land conditions, in this case for paddy plants, which are the basic staple food of the community. This study aims to determine the land suitability for paddy, determine land balance which is based on the area of paddy fields and built-up land to determine the potential of existing land reserves, and to determine paddy productivity. The research was conducted in Banyumas Regency in three districts, Kedungbanteng, Patikraja, and Purwojati as sampling area. The methods used in this study are land suitability analysis with the land unit approach method and land suitability based on SPKL version 2.0 weighted factor method, land resource balance analysis by calculating the reserve of land resources to determine the amount of paddy reserves, and food security analysis with qualitative descriptive method. The results showed that the land suitability class for paddy in Kedungbanteng District was dominated by class N with the highest value of Ntc/eh/lp of 25,57%, Patikraja District by class S2 with the highest value of S2c of 20,13%, and Purwojati District by class Neh of 51,51%. The only district that still has land reserves that can be used is Purwojati District of 635 ha. Food security in Kedungbanteng District has the highest land productivity, followed by Patikraja District with stagnant land productivity, and Purwojati with low land productivity.