Graphical Method Research Articles

Penerapan Metode Motion Graphic pada Video Promosi Rumah Kos Dermawan Living, Denpasar Bali

In this research, the application of the motion graphic method in making promotional videos for the Dermawan Living Boarding House in Denpasar, Bali, was explored. Motion graphics, as a visual technique that combines graphic elements, animation and text, are used to create dynamic and interesting messages. The research method involves analysing promotional videos before and after the implementation of motion graphics. Audience response, engagement level, and recall of the video are measured. The research results show that the application of motion graphics significantly increases the attractiveness of promotional videos. The use of dynamic visual elements and smooth transitions makes videos more interesting and memorable for the audience. Apart from that, motion graphics also help convey information more efficiently. In conclusion, the use of motion graphic methods in promotional videos can be an effective strategy for increasing attractiveness and communication efficiency. The practical guidance resulting from this research can help content creators optimize the use of motion graphics in promotional videos.

Formation Mechanism and Source Apportionment of Hydrochemical Components in Groundwater in the Yinchuan Plain

Groundwater is one of the major water sources for production, living, and agricultural irrigation in the Yinchuan Plain. Owing to the influence of the regional environmental background and long-term effects of human activities, groundwater quality is generally inferior. To deeply analyze the formation mechanism and source of hydrochemical components in groundwater in the Yinchuan Plain, the traditional hydrochemical graphic method and mathematical statistics and principal component analysis-multivariate linear statistical model were used. Based on inorganic component contents of 100 phreatic water samples and 46 confined groundwater samples, the hydrochemical characteristics and quality status, spatial distribution of over-limit toxicological components, and contribution rate of hydrochemical components were analyzed. The results showed that the chemical components of groundwater were controlled by rock weathering and evaporation concentration. Dissolution-enrichment （F1）, original geological environment （F2）, and human activities（F3） were the principal factors that influenced groundwater hydrochemistry with the contribution rates of 73.67%, 14.45%, and 11.88%, respectively. The major over-limit toxicity indices in groundwater were NO3--N and F-. High NO3--N phreatic water was mainly influenced by agriculture activities, followed by the discharge of domestic sewage. Enrichment of groundwater F- was mainly caused by leaching of F-bearing minerals and cation exchange adsorption.

Analysis of the impact of the volumes of state commissioning on the economy’s availability of specialists in certain professions

In Ukraine, there are imbalances between the specialities of graduates of higher education institutions and the needs of the market, so the issue of studying the possibilities of state influence on increasing the popularity of strategically necessary professions for the development of the country through the state-commissioned education is relevant. The purpose of the study was to determine how changes in the volume of state orders affect the choice of professions and competitive scores, and to develop recommendations for optimising the national policy in the field of financing specialities important for the country’s economic development. Clustering of specialities by the number of applicants enrolled for training was carried out, trends in changes in clusters in dynamics for 2018-2023 were considered, forecast models for changes in the number of applicants for each of the clusters were constructed, and correlation dependencies were determined on the impact of changes in the volume of state orders on attracting capable applicants to the speciality. The results of clustering, the visualisation of which is carried out using graphical methods, to a certain extent determine the popularity of the relevant professions and specialisations among applicants, including the level of sensitivity of the choice of applicants to the influence of external factors. It was determined that fluctuations in the number of applicants in small specialities occur within 1% despite significant changes in the share of state-funded places financed by budgetary funds, but in the cluster of specialities with a large number of applicants, such fluctuations are within 10%. The practical significance of the study lies in the possibility of using the constructed models for each speciality to determine their sensitivity to the impact of changes in the amount of funding for state-commissioned education, which would optimise the distribution of financial resources for training specialists for sectors of the economy

A study of the peculiarities of freelance activity of the Russian population on online labor market platforms

The relevance of the study is determined by the emergence and consolidation of new trends in the implementation of labor activity of the population in the context of digitalization and new challenges, as well as the need for their comprehensive study.The purpose of the study is to study the peculiarities of freelance activity of the Russian population on online labor market platforms, as well as to identify a set of measures necessary to obtain benefits from the implementation of this type of activity in order to stabilize the labor market during a period of change and reduce social tension.The objectives of the study are related to the analysis of supply and demand for the services of Russian freelancers on international online labor market platforms, including by comparing its positions with other countries; identifying measures to optimize the activities of online freelancers and stabilize the labor market during the period of change.Methodology. The research was implemented using the method of collecting information from open Internet sources, tabular and graphical methods, the method of economic analysis, analysis and synthesis, systematization, comparison, logical method and systematic approach.Results. It is determined that the freelance activity of the Russian population in the online format has great growth potential. The prerequisites for the development of online freelancing are highlighted, as well as the motives for Russian specialists entering the digital platforms of the global labor market. The analysis of the supply and demand of online freelancers on the largest online employment platforms in the period 2017-2022 was carried out. The specifics of Russia are revealed in comparison with the trends typical for China, India, Germany, Great Britain and the USA.Conclusion. The conclusion is made about the high activity of Russian freelancers on the online platforms of the global labor market, about the predominantly growing dynamics of this market segment, as well as about the existing restrictions in this area, which can be overcome by greater support from the state.

Trends in the development of the financial system during the economic crisis

Relevance. Due to the relevance of the problem under consideration in modern conditions, when the world is characterized by global financial instability and geo-economic fragmentation, the study of the characteristics of the functioning of the financial system during periods of various financial crises is of particular importance and can contribute to their better understanding.The purpose of the study is to identify trends in the development of the financial system in conditions of the economic crisis.Objectives: In accordance with the goal, the following tasks are predetermined and require solutions: to analyze the impact of global financial crises on the state of the financial system; based on the characteristics of the crises of 1990–1991, 2007–2008, 2020 and 2022 obtained as a result of the analysis, identify patterns of their occurrence and course, compare these crises; justify the findings.Methodology. The article uses general scientific methods of study/cognition, logical-comparative method, cause-and-effect analysis, as well as graphical and tabular methods of reflecting research results.Results. The article examines the impact of global financial crises on the state of the financial system. Based on an analysis of the characteristics of the crises of 1990–1991, 2007–2008, 2020 and 2022, patterns of their occurrence and course were identified. The result of the study is a comparative table of the financial crises of 2008 and 2020, as well as 2020 and 2022. It has been established that the analyzed financial crises, despite significant differences, also have certain similar features.Conclusions. The author's conclusions obtained can be used to predict the development of the financial system and develop Russian public policy in terms of justifying preventive measures to reduce the risks of future crises.

Connecting the dots: using a network approach to study the wellbeing spectrum

In positive psychology, defining the wellbeing construct has been a challenge. We used the psychometric network approach to study the structure of wellbeing. The sample consisted of Dutch adults registered with the Netherlands Twin Register. The variables were measured through standardized surveys. The network was estimated using the Mixed Graphical Models method and least absolute shrinkage and selection operator (LASSO) regularization to limit the number of spurious edges. We estimated a network in a trimming sample (N=1343, 63% females, Mage = 53.18, SDage = 9.45) and in an estimation sample (N=726, 75% females, Mage = 45.27, SDage = 11.12) to examine its performance and accuracy. Our final network consists of a positive cluster including satisfaction with life, subjective happiness, and flourishing items, and a negative cluster including depressive symptoms, loneliness, and neuroticism items. We identified the four most central nodes: one satisfaction with life item, one neuroticism item, and two depression items. This suggests that to get a general sense of the wellbeing construct, these items would serve as most informative. The network approach clearly demonstrates the different, yet connected positive and negative clusters of wellbeing and therefore re-affirms the complex interconnectivity of wellbeing phenotypes. In addition, the network results reject the view of strictly delineated wellbeing domains. Having identified the most central nodes in the network, these can be used in futures studies with limited resources, as they are likely to be the most representative of the wellbeing spectrum.

Estimation and Management of Wind Energy in Ikorodu Lagos Lagoon, Using Weibull Parametric Measurement to Electricity Production in Nigeria

This paper is an approach on the estimation and approximation management of wind energy production around the lagoon axis of Ikorodu, Lagos state, Nigeria. The article concentrates on the availability of renewable resource such as wind to generate electrical energy in the greater Ikorodu metropolis of Lagos state Nigeria. Here, probability distribution function is used to generate the wind data. In this paper, three distinct methods are presented; Data time series analysis, Weibull probability function, and theoretical comparison with analytical concept. This research uses two important parameters for analyzing wind data: shape factor “k” and scale factor “c” from Weibull distribution function. The theoretical uses mathematical equations of popular methods such as: (a) Moment method, (b) Empirical Formula, or statistical standard deviation, (c) Peak likelihood, (d) modified peak likelihood, (e) double modified peak likelihood (f) graphical method or smallest mean square, and (g) energy sequence factor. The results obtained are tested to optimize the value from the Weibull parameters by adopting five techniques: (i) root average square error methodology, X2, power of agreement , MAPE, and RRMSE. The results expatiated on the practical and theoretical techniques design to confront the outcome of wind energy harnessed per 1.5 km2. Here, a differential optimization technique is used to determine the precision report. This serve as the basis of error litmus check existing between the wind energy determined by theory of statistical and mathematical Weibull Parametric function and the practical time-series data analysis in LSTM. Again, the wind data (speed and energy/power) were measured and recorded between January 2020 to December 2023 in the Ijede-Ikorodu Lagoon area of Lagos State. The optimized value for the shape factor k and scale factor c parametric measurement and management for maximizing the output electrical energy are obtained by using a well robust Weibull distribution function techniques and by absolutely determining and selecting the best position and location for installing the wind/wave alternators/generator. These generators come with turbines as a single unit. The measurement of the yearly average wind speed and average wind power are 10.09 ms-1 and 10.1 KWm-2, concurrently.

Computer-assisted regional-residual gravity anomaly separation with regularized first- and second-order derivatives

The regional-residual separation of gravity anomalies in crustal and mineral exploration was a graphical-based procedure before the advent of fast digital computers and the need for more efficient algorithms to process large data sets. However, since requiring the supervision of an experienced interpreter, the results, once obtained with graphical procedures, are often accepted as second to none in producing anomalies with geologic significance. Numerical methods based on spectral filtering and robust polynomial fitting have worked in many scenarios but seem not fully effective in replicating in algorithms the kind of results once obtained with interpreter-assisted graphical methods. We develop a computer-assisted regional residual separation (CARRS) procedure implemented by a set of short MATLAB scripts; in many aspects, CARRS simulates the operations of former graphical methods but requires few decisions and minor handwork from the interpreter. CARRS applies robust polynomial fitting to points with a low horizontal gradient and a vertical second-order derivative; thus, selecting fitting points as a real interpreter would do with graphical approaches in outlining the regional field. A regularized procedure is used to calculate the stable first- and second-order derivatives. Companion MATLAB codes allow for the replication of our results and further exploration with different threshold levels to identify flat domain regions. CARRS is illustrated with airborne gravity data CPRM-1123, freely available to download. A data window of the residual field is used to analyze the distribution of cassiterite deposits in greisen zones of the Paleoproterozoic Velho Guilherme granites in the Amazon Craton, as their distribution appears in the observed gravity anomaly and its corresponding residual field.

Artificial intelligence in state and municipal management: challenges and prospects

Relevance. In the modern world, artificial intelligence (AI) is one of the fastest growing areas of information technology, which is increasingly penetrating into various spheres of human activity. In the context of public and municipal management, AI is a technology that is able to automate and optimize work processes, improve the quality of services provided to citizens, and increase the level of security and transparency of government work.The purpose is to analyze the possibilities and risks of using artificial intelligence in state and municipal management, as well as to determine the prospects for its development in this area.Objectives: to analyze the advantages of using artificial intelligence in state and municipal management; to study the risks and challenges associated with its implementation; to analyze trends in the development of artificial intelligence in this area, as well as to determine the prospects for its use.Methodology. Empirical, theoretical, statistical and graphical representation methods were used in the course of scientific research.Results. The study revealed the advantages of AI in public administration (improving efficiency, improving the quality of services, transparency, security); risks and challenges were studied (lack of infrastructure, risk of privacy violations, problems of transparency of algorithms, risk of discrimination); trends in the development of AI were analyzed (e-government, optimization of workflows, personalization of services, monitoring of social media, security); the prospects of using AI (smart cities, virtual assistants, hybrid systems, decision support, cooperation with business, international cooperation) have been identified.Conclusions. Artificial intelligence can significantly improve the efficiency and quality of public and municipal administration. However, for the successful implementation of AI, it is necessary to solve problems such as the lack of infrastructure and qualified specialists, ensuring data security, transparency of algorithms and compliance with the regulatory framework. To do this, it is necessary to conduct further research, develop integrated approaches and take into account world experience. The prospects for using AI include the creation of smart cities, the use of virtual assistants, hybrid systems, decision support systems, business cooperation and international cooperation.

Theoretical foundations of the modern paradigm of digitalization of the Ukrainian economy

Introduction. Nowadays, more and more attention is paid to the problems of digitalization of the economy, the characteristic features of which are the process during which the electronic information environment develops and the latest technologies. Under current conditions, Ukraine is the only one among European states that does not have sufficient digital resources for its complete transfer to the rails of the digital economy. Not the biggest reason why this process slowed down was the full-scale invasion and hostilities, due to which the Ukrainian economy has significant costs (losses), as well as the process that would allow it to transform into the latest digital environment. Because of such trends, there is an urgent need to identify the current problems of the process during which the Ukrainian digital economy is being formed, the main trends and perspectives of how it should develop, moving in the direction of European integration, are maturing. Purpose. The purpose of the article is to reveal the theoretical foundations of the modern paradigm of digitalization of the Ukrainian economy. Methods. In the process of writing this article, the following methods were used: methods of analysis and synthesis (for the purpose of a thorough study of the essence of digitalization of the economy), a graphic method (for the purpose of providing the main definitions of this concept by various Ukrainian scientists), a generalization method, a complex and systematic approach, and an abstract-logical method (for the purpose of formulating conclusions and prospects for further research). Conclusions. The essence of the concept of “digital economy” is revealed and it is determined that it is expedient to consider it as a separate sector of the economy, where business entities conduct economic activity using information and communication and digital technologies, and the leading means (factors) of production are digital (electronic, virtual) data (numerical and text). At the same time, it was established that digitalization should be understood as a process related to the active formation, use, and improvement of technologies specializing in information and communication content. Discussion. Prospects for further research are the study of modern trends in the use of information and communication technologies during digitalization, which has been actively gaining momentum in recent years.

Directions of digitalization of going concern audit – a prerequisite for its efficiency increase

Introduction. In modern conditions, digital transformation is the main means of improving business performance. Constant competition and changing market conditions force business entities to resort to new ways of increasing the efficiency of business processes and adapting to new conditions. Digital technologies have great potential in solving this problem. As the country’s economy continues its path of digital transformation, the interest of audit firms in the development and implementation of digital technologies in their activities is growing. This determines the relevance of this study. Purpose. The article aims to investigate and outline the main areas of digitization of the going concern audit of enterprises. Methods. In the process of writing the article, the authors used general scientific methods of scientific research. The dialectical method of scientific knowledge of economic phenomena and processes became the basis of the study of the concept of «audit digitalization». Such methods as grouping, comparison and specification made it possible to assess the directions of digitization of the going concern audit of enterprises. The abstract-logical method was used when presenting the problems of audit digitalization. The use of a graphic method ensured the visibility of statistical data and research results. Conclusions. The concept of «audit digitization» is revealed. The reasons for the transition to digital technologies in all spheres of the economy, including audit. The directions of digitization of the going concern audit of enterprises are described. The basic problems and risks associated with the digital audit process are presented. Prospective directions for the further development of audit activities are considered, among which continuous and virtual audits are key. The results of the study indicate that the active digital transformation of the economy affects all spheres of activity, and the auditing sphere is no exception. Discussion. Despite the significant volume of scientific research, which is related to the analysis of the impact of digitalization on audit activity and the identification of promising directions of digital transformation of audit, it is important to search for the restraining factors of the digitalization of the going concern audit. These questions can be the object of new scientific research.

ПРИНЦИПОВ ТЕРРИТОРИАЛЬНОГО РАСПРЕДЕЛЕНИЯ ТНК ПОСРЕДСТВОМ АНАЛИЗА ЭКОНОМИЧЕСКИХ ПОКАЗАТЕЛЕЙ ГЛОБАЛЬНОМ УРОВНЕ

This article aims to identify the main regional distribution trends and changes in the global TNCs 'activity structures. A systematic approach and comparative analysis are used to conduct the research. The addition of additional tools are mathematical statistical, graphical, and cartographic methods. Based on the Fortune Global 500 list for the years 2019 to 2023, this study is based. In the course of writing the article, it was discovered that the main factors that TNCs have today are related to, among others, their turnover and popularity as well as their geographic location, particularly in the "second" and "third" world countries. It is worth noting that Chinese corporations also showed active activity and took leading positions in the TNC ratings. This fact confirms that the total number of Chinese TNCs is larger than US TNCs. It is worth taking into account that TNCs in China and the USA make up more than half of all TNCs according to this list. Digital technologies are the main stimulus for the development of the sectoral economy. The impact of the coronavirus on the activities of TNCs was examined. It has been established that there has been a significant redistribution of positions in the ranking of the world's largest TNCs. A reduction in sales volumes of TNCs has been recorded throughout the world, this was especially reflected in the heavy industry.

Effective approach to predict soil-water retention curve of bentonites considering adsorption and capillarity

Understanding soil–water retention behavior is a longstanding topic. Water retained in soils can be decomposed into adsorptive and capillary components, controlled by different physicochemical mechanisms. The capillary water retention was frequently discussed in literatures, but the adsorption role was rarely considered, especially for high active clays (e.g., bentonite). In this study, two novel equations for quantifying adsorptive and capillary water retentions are proposed, generating a twofold model to continuously simulate soil–water retention behavior of bentonites. Only 5 parameters, i.e., the maximum adsorption capacity, characteristic adsorptive and capillary suctions, and uniformities of adsorptive and capillary pores, are defined with clear physical meanings. A graphical method was suggested to firstly determine the maximum adsorption capacity, and the remaining parameters are efficiently estimated by non-linear curve fitting. The water retention data for various bentonites, representing a variety of hydration conditions, initial compactness, montmorillonite content and suction range, are used to assess the model performance. The predictions agree well with the measured total, adsorptive and capillary water contents of a Wyoming bentonite, and the fitting curves also match well with test data for other bentonites over the full suction range. Adsorption parameters are distributed within a narrow range, while the characteristic capillary suction is also distributed within a limited range under constant volume condition. The proposed model allows reasonable predictions about the capillary onset and the transition from adsorption to capillarity, revealing obvious superiority by comparison with other hybrid models. This work offers a new pathway to quantitively assess the soil–water retention curve of high active clays.

Methodological approaches to the functioning of the passenger transportation market: Airline, road and railway segments

Passenger transportation plays a critical role in ensuring efficient functioning of the economy, as it provides labour mobility, access to markets, cultural, and social services, and promotes the development of international tourism and social integration. Thus, the purpose of the research was to analyse methodological foundations of the functioning of the passenger transportation market and to assess the war impact on the condition and development of air, bus, and rail passenger transportation. With the help of the bibliographic method, key scientific papers have been analysed in the article to study the theoretical foundation and identify problematic issues, calling for improvement and development. Using the generalisation method, leading organisations, ensuring the functioning of the passenger transportation market, have been identified and summarised, and the general principles of its functioning have been formulated. Using comparative and grouping methods, methodological approaches to air, bus, and rail passenger transportation in the context of economic, regulatory, technological, ecological, and social foundations have been proposed. The necessary prerequisites for the effective functioning of the passenger transportation market have been determined by grouping the most significant aspects, such as liberalisation and competition, state regulation and standardisation, investments and innovations, as well as effective cooperation between stakeholders in the field of passenger transportation. Using tabular and graphical methods, the war impact on air, bus, and rail passenger transportation has been considered through the lens of the caused damage, the amount of destruction, and the necessary restoration and reduction of passenger traffic. The peculiarities of enterprise operation in wartime have been identified with the emphasis on strategically important features of functioning and development, and patterns in passenger transportation have been revealed with the help of the content analysis method. The results of the research can be useful for specialists in the field of passenger transportation and tourism when analysing the passenger transportation market, forming strategies, and considering development trends

A Network Analysis of the Relationship Between Automation and Job Characteristics

The purpose of this study is to identify core occupational characteristics that affect the potential for a job to be automated and to reveal the relationship and paths between those characteristics, such as skill(s), work environment and knowledge. In this study, a network was estimated and visualised to identify the relationship between occupational characteristics using the Gaussian graphical model method and to reveal the occupational characteristics linked to the potential for automation variable. As a result of estimating and visualising the network, it was found that the occupational characteristics with low potential for automation were art, decision-making, assisting and caring for others and working in cramped spaces, while those with high potential for automation involved repeating the same tasks. Furthermore, after analysing the shortest paths from each occupational characteristic node to the automation node, it was revealed that even occupational characteristics with high potential for automation can have varying levels of automation possibility depending on the mediators. Based on the results, education and vocational training policies for low- and middle-skill workers, young workers and potential workers are suggested.

Total-Body Dynamic Imaging and Kinetic Modeling of [18F]F-AraG in Healthy Individuals and a Non-Small Cell Lung Cancer Patient Undergoing Anti-PD-1 Immunotherapy.

Immunotherapies, especially checkpoint inhibitors such as anti-programmed cell death protein 1 (anti-PD-1) antibodies, have transformed cancer treatment by enhancing the immune system's capability to target and kill cancer cells. However, predicting immunotherapy response remains challenging. 18F-arabinosyl guanine ([18F]F-AraG) is a molecular imaging tracer targeting activated T cells, which may facilitate therapy response assessment by noninvasive quantification of immune cell activity within the tumor microenvironment and elsewhere in the body. The aim of this study was to obtain preliminary data on total-body pharmacokinetics of [18F]F-AraG as a potential quantitative biomarker for immune response evaluation. Methods: The study consisted of 90-min total-body dynamic scans of 4 healthy subjects and 1 non-small cell lung cancer patient who was scanned before and after anti-PD-1 immunotherapy. Compartmental modeling with Akaike information criterion model selection was used to analyze tracer kinetics in various organs. Additionally, 7 subregions of the primary lung tumor and 4 mediastinal lymph nodes were analyzed. Practical identifiability analysis was performed to assess the reliability of kinetic parameter estimation. Correlations of the SUVmean, the tissue-to-blood SUV ratio (SUVR), and the Logan plot slope (K Logan) with the total volume of distribution (V T) were calculated to identify potential surrogates for kinetic modeling. Results: Strong correlations were observed between K Logan and SUVR with V T, suggesting that they can be used as promising surrogates for V T, especially in organs with a low blood-volume fraction. Moreover, practical identifiability analysis suggested that dynamic [18F]F-AraG PET scans could potentially be shortened to 60 min, while maintaining quantification accuracy for all organs of interest. The study suggests that although [18F]F-AraG SUV images can provide insights on immune cell distribution, kinetic modeling or graphical analysis methods may be required for accurate quantification of immune response after therapy. Although SUVmean showed variable changes in different subregions of the tumor after therapy, the SUVR, K Logan, and V T showed consistent increasing trends in all analyzed subregions of the tumor with high practical identifiability. Conclusion: Our findings highlight the promise of [18F]F-AraG dynamic imaging as a noninvasive biomarker for quantifying the immune response to immunotherapy in cancer patients. Promising total-body kinetic modeling results also suggest potentially wider applications of the tracer in investigating the role of T cells in the immunopathogenesis of diseases.

Quantifying the Impact of Siderite Composition and Reservoir Resistivity (Rt) on Water Saturation Estimation in Low-Resistivity Sideritic Sandstone Reservoirs Using the Graphic Plot Method

Quantifying the Impact of Siderite Composition and Reservoir Resistivity (Rt) on Water Saturation Estimation in Low-Resistivity Sideritic Sandstone Reservoirs Using the Graphic Plot Method

Analisis Perhitungan BEP (Break-Even Point) dan Margin Of Safety Dalam Penentuan Harga Jual

This paper aims to provide information to the public regarding the meaning, use, purpose, limitations, and methods of calculating Break Even Point Analysis (BEP). Management needs information that can be used as a basis for planning company profits. By knowing the breakeven point, management can determine the amount of production or sales that must be made, according to the profit target to be achieved)., the data collection technique used is an online study, namely by taking references from the Internet. The type of data used is secondary data in the form of books related to the discussion, of course, books/materials on the internet. Data analysis used descriptive method, which was to describe the research results and then draw conclusions. Break Even Point (BEP) calculation can be done by equation method, contribution margin method, and graphical method. The three methods when used produce the same number. Break Even Point (BEP) analysis, in practice, besides containing benefits but also contains weaknesses.

Prediction of saturation exponent for subsurface oil and gas reservoirs using soft computing methods

The most widely used equation to calculate water saturation or suitable shaly water saturation in clean or shaly formation, respectively, is the modified Archie formula. The quality of Archie parameters including saturation exponent affects the preciseness of water saturation, and thus estimated oil and gas in place. Therefore, estimating the saturation exponent by the soft computation methods deems to be necessary. In this study, intelligent models such as multilayer perceptron neural network, least squares support vector machine, radial basis function neural network, and adaptive neuro-fuzzy inference system are developed to predict saturation exponent in terms of petrophysical data including porosity, absolute permeability, water saturation, true resistivity, and resistivity index by utilizing a databank for middle east oil and gas reservoirs. The introduced models are optimized using particle swarm optimization, genetic algorithm, and levenberg marquardt techniques. Graphical and statistical methods are used to demonstrate the capability of the constructed models. Based on the statistical indexes obtained for each model, it is found that radial basis function neural network, multilayer perceptron neural network, and least squares support vector machine are the most robust models as they possess the smallest mean squared error, root mean squared error and average absolute relative error as well as highest coefficient of determination. Moreover, the sensitivity analysis indicates that water saturation has the most effect and porosity has the least effect on the saturation exponent. The developed models are simple-to-use and time-consuming tools to predict saturation exponent without needing laboratory methods which are tedious and arduous.

Trend analysis of precipitation and drought characteristics over Churu district of northeast Rajasthan, India

ABSTRACT Drought is one of the most destructive natural disasters, becoming more extreme and less predictable due to climate change. Drought directly affects a region's water resources, leading to inadequate water availability and harming crops, animals, and humans. The objective of the present study is to assess the long-term trends of precipitation and drought characteristics for the Churu district of northeast Rajasthan, India. For this purpose, mean monthly precipitation data are collected through the India-WRIS from 1901 to 2022. The trend analysis uses statistical methods (M-K test & amp; SS estimator), and the results are compared with a graphical method (innovative trend analysis). Drought events are found using precipitation-based drought indices, i.e., standardized precipitation index, Z-score index, and percentage of normal precipitation index. Interestingly, the results of the statistical method are well matched with the results of the graphical method. The study concludes that during the annual precipitation a rising trend is observed, which can help to mitigate the severity of drought. Also, it is found that moderately dry droughts occur most frequently compared with other drought events. This study will help policy-makers and local administrators to take necessary action to mitigate the severity of drought.