Different Levels Of Potential Research Articles

Empowered machine learning algorithm to identify sustainable groundwater potential zone map in Jashore District, Bangladesh

Groundwater is a crucial natural resource that supplies potable water to the local population in Jashore, Bangladesh. In recent years, the district has experienced groundwater scarcity during the summer season, significantly affecting both domestic and agricultural usage, thereby impacting the local populace. However, accurately assessing its availability and quality remains a challenge. Our objective was to identify groundwater prospect zones in Jashore and provide valuable insights for management and decision-making through Explainable Artificial Intelligence (XAI). This study used 15 groundwater conditioning factors for potential zone mapping. The k-Nearest Neighbors (KNN), Neural Networks (NNET), Gradient Boosting Machines (GBM), Random Forest (RF), and Support Vector Machines (SVM) models were applied to assess groundwater suitability, resulting in the identification of five distinct areas with different levels of potential. The areas with very low suitability covered 39.37, 14.95, 107.23, 291.59, and 300.24 km2, while areas with very high suitability covered 1255.61, 969.49, 1221.99, 1958.85, and 1211.03 km2, respectively. Notably, the RF and NNET models exhibited higher accuracy, with Area Under Curve (AUC) values of 90%. The KNN, GBM, and SVM models achieved AUC values of 85%, 86%, and 88% respectively. The study reveals that the northeastern region has the greatest groundwater potential, while the southern and southwestern regions have lower capacities. The researcher's also utilized Partial Dependence Plots (PDP) technique, to analyze parameter behavior in predicting groundwater suitability. This approach provided valuable insights into the impact of various factors on groundwater potential, aiding management decisions. The study findings inform to policymakers and water resource managers in Jashore, enabling sustainable groundwater management by identifying high-potential areas. This knowledge optimizes resource allocation, ensuring sufficient supply for sustainable development.

Antidiscrimination Insurance Pricing: Regulations, Fairness Criteria, and Models

On the issue of insurance discrimination, a grey area in regulation has resulted from the growing use of big data analytics by insurance companies: direct discrimination is prohibited, but indirect discrimination using proxies or more complex and opaque algorithms is not clearly specified or assessed. This phenomenon has recently attracted the attention of insurance regulators all over the world. Meanwhile, various fairness criteria have been proposed and flourished in the machine learning literature with the rapid growth of artificial intelligence (AI) in the past decade and have mostly focused on classification decisions. In this article, we introduce some fairness criteria that are potentially applicable to insurance pricing as a regression problem to the actuarial field, match them with different levels of potential and existing antidiscrimination regulations, and implement them into a series of existing and newly proposed antidiscrimination insurance pricing models, using both generalized linear models (GLMs) and Extreme Gradient Boosting (XGBoost). Our empirical analysis compares the outcome of different models via the fairness–accuracy trade-off and shows their impact on adverse selection and solidarity.

Model of the estimated temperature difference of the coolant for the autonomous heating system of an individual residential building

This paper provides a method of evaluating variants of autonomous heating systems with different levels of potential of the coolant (estimated temperature difference) by economic criterion - the given costs, attributed to the unit of power of the system. The system model is based on a mathematical description of the cost components of the system - equipment (pipes, heating appliances, heat generator, circulating pump) and operational (energy expenditure for the transfer of thermal energy), depending on the flow of heat, heat power and the size of the equipment of the water heating system. Model analysis reveals the most effective calculation parameters of the system already at the design stage.

Teachers’ orientations toward using student mathematical thinking as a resource during whole-class discussion

Using student mathematical thinking during instruction is valued by the mathematics education community, yet practices surrounding such use remain difficult for teachers to enact well, particularly in the moment during whole-class instruction. Teachers’ orientations—their beliefs, values, and preferences—influence their actions, so one important aspect of understanding teachers’ use of student thinking as a resource is understanding their related orientations. To that end, the purpose of this study is to characterize teachers’ orientations toward using student mathematical thinking as a resource during whole-class instruction. We analyzed a collection of 173 thinking-as-a-resource orientations inferred from scenario-based interviews conducted with 13 teachers. The potential of each orientation to support the development of the practice of productively using student mathematical thinking was classified by considering each orientation’s relationship to three frameworks related to recognizing and leveraging high-potential instances of student mathematical thinking. After discussing orientations with different levels of potential, we consider the cases of two teachers to illustrate how a particular collection of thinking-as-a-resource orientations could support or hinder a teacher’s development of the practice of building on student thinking. The work contributes to the field’s understanding of why particular orientations might have more or less potential to support teachers’ development of particular teaching practices. It could also be used as a model for analyzing different collections of orientations and could support mathematics teacher educators by allowing them to better tailor their work to meet teachers’ specific needs.

Place-Based Labels in Agricultural Value Chains

This study aims to contribute to the literature of place-based labels (implies a special quality, reputation or characteristic that can be attributed to its geographical origin) by developing a conceptual framework identifying both the specific governance mechanisms that strengthen individual cases, and the general governance mechanism that produces different levels of potential for different product groups. For this aim, this article introduces the concept of policy rents and resource rents to understand and analyze how differences between characteristics of the place-based labeling process (the options that local actors negotiated in label design) and differences between crop characteristics (the unique features of agro-commodities different from others) affect efforts to develop and benefit from a place-based label.

Impact of emotional intelligence of pharmacist and pharmacy techicians on potential for achieving compliance

Emotional intelligence is defined as ability to process emotional information which have impact on many cognitive processes of significance for achieving professional success. Studying of emotional intelligence, in order to implement this concept in pharmacy practice, is important to improve relationship between pharmacists and patients. The aim of this study was to determine the relationship of emotional intelligence and potential for achieving patient's compliance, considering various factors that may influence them. The study included 102 patients, pharmacists and pharmacy technicians from 25 pharmacies in Kragujevac. All patients received the questionnaire, a checklist for patient counseling and a test of emotional intelligence. The relationship between emotional intelligence and potential for achieving good patient's compliance was statistically tested by linear correlation. It was shown that emotional intelligence significantly correlated with potential to improve compliance (r = 0.432). The mean value of emotional intelligence score was 185.05 ± 1.84, while the average value of the achievement of good compliance score was 17.35 ± 0.56. Different factors like ownership over pharmacy, professional satisfaction and contribution to pharmacy prosperity were significantly associated with level of emotional intelligence, while potential for achieving compliance depended on years of work experience, competence, professional development of pharmaceutical staff and caring for a patient with chronic disease at home. This study showed that pharmaceutical staff with higher level of emotional intelligence had greater potential for achieving compliance. It was found that the level of emotional intelligence of pharmaceutical staff was significantly associated with professional satisfaction, contribution to prosperity of a pharmacy and ownership over pharmacy where the study participant worked. Professional experience, competence and taking opportunities for professional development differed significantly between people with different levels of potential for improving compliance in their patients. A higher potential for achieving compliance was found among the staff who had a patient with chronic disease to care for at home.

Assessing the Potential of Farming Regions to Fulfill Agro-Environmental Functions: A Case Study in Tuscany (Italy)

The increasing interest in agro-environmental management entails having tools to assess, monitor and map agro-environmental functions (AEFs) in different regional contexts. In Europe, decision-making in agro-environmental policies generally targets single functions instead of multiple ones and rarely considers the regional variability of agricultural or geo-physical conditions that may influence the fulfillment of functions. We propose and test a method to assess the potential of farming regions to fulfill a set of AEFs. The method was applied in the "Collina interna grossetana" farming region (Italy) and concerned three functions: protection of surface water from nitrates, protection of soil from erosion, and conservation of landscape diversity. These functions were qualified and mapped using various geo-physical and land cover descriptors from common geographical datasets. All of the descriptors were combined using geographical cluster analysis to identify their contribution to the three functions, and thus to assess the potential of the farming region to fulfill these functions. Three levels of potential were calculated, according to the more or less favorable fulfillment of soil and water functions. No totally favorable contribution to the functions was identified in the studied area. Moreover, we mapped the spatial patterns obtained for the different levels of potential. The landscape diversity function was found to be the least variable in the study area, while different patterns were identified for the other functions. In fact, the northern and central sections of the study region were organized more in the form of large core areas of different levels of potential, whereas the southern section presented more boundary areas, small core areas and isolated pixels. The method may help to establish local priorities in agro-environmental management pointing out where the set of functions is completely or partially fulfilled, as well as where and how it is more or less necessary to focus support measures afforded by environmental policies. Such information could help to palliate the current poor consideration of the spatial variability of functions in regional policies.

The magnetic mixing amplifier

A new type of magnetic signal mixing amplifier is introduced which is useful for the treatment of multisignals biased with different levels of potential. A saturable core and transistors are its basic components. This mixing amplifier is excellent in linearity, has push-pull with an inherently single core, has a quick response, and is operated with a dc source. Decoupling of the input and output is made possible by use of the three-core configuration. An arrangement is also presented in which the isolation of the output from the dc source can be attained by the use of other windings.