Distribution Utilities Research Articles

Adjusting for quality of care in primary health care utilization and benefits in Bihar, India: A Benefit Incidence Analysis

India’s public health policies prioritize the least wealthy and vulnerable. Additionally, for Primary Health Care (PHC) to achieve equitable health outcomes, all must receive high-quality care. This study determined equality of utilization and benefit incidence of PHC services across socioeconomic (SE) groups in Bihar, with and without adjusting for quality of care. It used secondary data from linked PHC facility and household surveys in Bihar that included information on PHC facility utilization, quality of care and household expenditure patterns. Lorenz curves and concentration indices were constructed to examine relative distribution of utilization and benefits from public sector PHC services by SE status, before and after adjusting for quality of care using quality weights. We found that relative distribution of public sector PHC utilization, total and net benefits was statistically no different from perfect equality. With quality weights, utilization and benefits of PHC facilities in Bihar were slightly more pro-rich but statistically no different from perfect equality. The wealthiest do not disproportionately benefit from public sector PHC facilities, but neither do the least wealthy.In conclusion, relative utilization and benefits of public sector PHC facilities were equally distributed across socioeconomic groups in Bihar. Benefits from public sector PHC facilities are not disproportionately concentrated among the least wealthy in the community. As the Ayushman-Bharat Health and Wellness Centers are strengthened to improve public sector PHC services, it would be important to target its benefits towards the least wealthy by ensuring services are accessible and amenable.

Healthcare Utilization and Geographic Distribution of Advanced Therapy in Minority Race and Ethnic Groups With Inflammatory Bowel Disease.

Biases in healthcare pose challenges for inflammatory bowel disease (IBD) patients from underrepresented races and ethnicities. Our study aimed to assess the quality of and access to care among underrepresented racial and ethnic populations using a diverse database. We used the OneFlorida Data Trust, representing over half of Florida's population. We performed a retrospective study from 2012 to 2020. Advanced IBD therapies included a prescription of at least 1 biologic agent or tofacitinib. Disease activity markers included C-reactive protein (CRP), hemoglobin (Hgb), albumin, and white blood cell (WBC). Regression analyses compared the rates of medication use, healthcare utilization, and disease severity by race and ethnicity. Geographic distribution of advanced IBD therapy was analyzed at the county level. Our study included 10 578 patients. Hispanic patients utilized more biologics than non-Hispanic White (NHW) patients (odds ratio [OR]: 1.3, P<.0001). Non-Hispanic Black patients utilized more steroids than NHW (OR: 1.2, P=.0004). Hispanics had fewer visits to emergency departments (EDs) and fewer admissions compared with NHW (OR: 0.7 and 0.6, respectively; P<.0001). Non-Hispanic Black patients visited ED more frequently than NHW patients (OR: 1.3, P<.0001). Hispanics had lower disease activity markers than NHW based on CRP (OR: 0.5, P=.005), Hgb (OR: 0.4, P<.0001), albumin (OR: 0.7, P<.0001), and WBC (OR: 0.5, P<.0001). Geographic distribution of advanced IBD therapy showed clustered areas in southern and northern Florida. Our data show an improved access to care pattern in Hispanic patients. However, disparities still exist, and this is evident in the healthcare utilization trends observed among non-Hispanic Black patients.

Day-ahead dynamic operating envelopes using stochastic unbalanced optimal power flow

Driven by the energy transition, distribution networks are dealing with increasing uptake of distributed energy resources, including solar photovoltaic generation. Residential rooftop solar allows customers to minimize exposure to price increases in the market, which has led to high penetration of PV in regions with high amounts of solar hours such as Australia. Eventually, this leads to congestion in the network, either due to voltage rise, or due to overcurrent in lines or transformers. Distribution utilities are now moving on from static export limits for customers in congested networks, to dynamic limits that are based on the state of the network. It is considered thoughtful to give customers advance warning, e.g. day-ahead, of the moments and degrees of export limitation, despite uncertainty surrounding the future state of the network. Therefore, in this paper, we consider the application of general polynomial chaos expansion based stochastic unbalanced optimal power flow to the day-ahead determination of dynamic export limits. We perform a numerical study on a European style low voltage feeder and illustrate the impact of fairness principles on chance-constrained stochastic nonlinear optimization without the need of sampling, linearizing the power flow equations, or applying relaxations. Case studies show the necessity of considering unbalanced study of distribution system. It was observed that equality measures reduce the overall output of the system in an attempt to achieve equal relative injection, while alpha fairness with a higher value of alpha is a compromise between the efficiency and fairness in DOEs.

Revolutionizing MANET Route Discovery with INTSM: An Innovative Load Balancing Approach

Communication challenges in ad hoc networks arise due to the mobility of nodes, causing frequent changes in connections and locations. Maintaining network equilibrium to prevent node overload and underutilization is crucial. However, imposing static behaviors on nodes to improve performance can lead to delays, especially in core nodes. Addressing these issues, this research proposes the Intermediate Node Traffic Sharing Model (INTSM) for ad hoc networks. INTSM prioritizes congestion control and load balancing during route discovery, aiming to optimize network resource utilization and traffic distribution, thereby reducing packet delays. The model employs dynamic traffic sharing algorithms that consider real-time network conditions, enabling nodes to adjust their behaviour adaptively. This approach minimizes congestion by distributing traffic loads more evenly across the network, preventing bottlenecks at central nodes. Additionally, INTSM incorporates predictive analysis to foresee potential congestion points and reroute traffic proactively, enhancing overall network stability and performance. Extensive simulations demonstrate that INTSM significantly reduces average packet delay and improves throughput compared to traditional routing protocols. The results highlight the model&amp;apos;s efficacy in diverse scenarios, including high mobility and varying traffic loads, proving its robustness and scalability. The primary objective of this study is to enhance navigation and equilibrium mechanisms to improve the performance of ad hoc networks, contributing to more reliable and efficient wireless communication systems. The findings of this research have significant implications for the design of future ad hoc networks, particularly in applications requiring high reliability and quick adaptation to changing network conditions, such as disaster recovery, military operations, and mobile sensor networks. By addressing the critical challenges of congestion control and load balancing, INTSM offers a promising solution to enhance the resilience and efficiency of ad hoc networks.

Quantization of two- and three-player cooperative games based on QRA

Abstract In this paper, a novel quantization scheme for cooperative games is proposed. The circuit is inspired by the Eisert-Wilkens-Lewenstein protocol, which was modified to represent cooperation between players and extended to 3--qubit states. The framework of Clifford algebra is used to perform necessary computations. In particular, we use a direct analogy between Dirac formalism and Quantum Register Algebra to represent circuits. This analogy enables us to perform automated proofs of the circuit equivalence in a simple fashion. The expected value of the Shapley value concerning quantum probabilities is employed to distribute players' payoffs after the measurement. We study how entanglement, representing the level of pre-agreement between players, affects the final utility distribution. The paper also demonstrates how the Quantum Register Algebra and GAALOP software can automate all necessary calculations.

Movements, foraging and habitat selection of southern stingrays (Hypanus americanus) in a tropical ecosystem altered by an invasive seagrass

This study provides some of the first evidence of how a common Caribbean fish species that relies on seagrass and sand habitats interacts with an invasive seagrass. The invasive seagrass Halophila stipulacea, first documented in the Caribbean in 2002, has rapidly expanded its range, displacing native seagrasses, and overgrowing bare sand. The southern stingray (Hypanus americanus) uses shallow seagrass and sand habitats for foraging. This paper examined the impacts of the invasive seagrass, H. stipulacea, on southern stingray behavior, foraging and movement patterns using acoustic telemetry and visual observations. From 2015 to 2018, 15 southern stingrays (14 juveniles of unknown sex and 1 female) were tagged with acoustic transmitters and passively monitored within an acoustic array in Brewers and Perseverance Bays, St. Thomas, United States Virgin Islands. The residence time, rates of movement and activity spaces for 50% and 95% utilization distributions (UD) were calculated for day and night periods. Tagged southern stingrays were detected within the array on average for 260 d (range 11–801 d) and residency for all individuals averaged 53% over the monitoring period (1079 d). Mean rates of movement per individual ranged from 40 to 150 m h−1, was lowest during the nighttime and were significantly higher during crepuscular periods. Activity spaces during day and night periods were nearly identical and averaged 0.05 km2 and 0.25 km2 for 50% and 95% UD, respectively. Distances between day and night 50% UD activity spaces was 148 m (range 8–409 m) and mean percent overlap was 38%. In addition to acoustic monitoring, benthic cover of available habitats and visual surveys of stingray behavior and habitat preferences were conducted along fixed transects. Monotypic stands of the invasive H. stipulacea seagrass represented 42% of benthic cover, followed by bare sand (27%), mixed patches of native and invasive seagrasses (23%) and the native Syringodium filiforme (7%). A habitat selection index (HSI) comparing the percent cover of available habitats and habitats occupied by stingrays found a strong preference for the native seagrass S. filiforme (HSI = 2.30) and bare sand (HSI = 1.79) compared to H. stipulacea (HSI = 0.70). Visual surveys also revealed that 50% of foraging stingrays were in S. filiforme, while 28% and 17% were foraging in H. stipulacea and bare sand, respectively. Our results are an important baseline for examining how further expansion of H. stipulacea may affect southern stingray movement patterns and foraging preferences.

456 Allocating distribution of pasture utilization across the grazing landscape in grazing steers equipped with virtual fencing collars

Abstract Spatial utilization of pasture landscapes by grazing animals is often heterogeneous and driven by complex environmental and physiological interactions between plants and animals. Synergistic energy pathways can be modeled using mechanistic relationships describing resource distribution, animal behavior, metabolic energy rate, and pasture utilization using biometric sensors. The objective of this study was to demonstrate the ability to measure the energy landscape by mapping fine-scale contributions to animal energy expenditure, nutrient acquisition, growth, and overall economic profitability. We utilized animal trajectories and location fixes recorded by virtual fencing collars (Vence) daily body weight (BW) using precision livestock scales (Smartscale, C-Lock Inc.) and oxygen consumption (GreenFeeds, C-Lock Inc.) on steers (n = 127), managed as part of a broader project to evaluate environmental synergies in extensive grazing systems. Steers were allocated to one of six native grass pastures assigned to either rotational or continuous grazing strategies, and one of three stocking rates (low, moderate, high) in a 2 x 3 factorial arrangement. Space utilization was quantified as the frequency of fixes located within each cell of a 5 x 5-meter Grid and the distance between grid cells and water was calculated using the Pythagorean theorem. Movement behavior was quantified using Program R to calculate step length, the distance between two temporally continuous fix points utilizing the Pythagorean Theorem, and turn angles calculated as the cosine of the pre- and pro-ceeding step lengths where larger values indicated greater deviation from a straight trajectory. A mixed linear regression model was fitted using the lmer function in the lme4 package. Space utilization decreased with increased distance from water (P &amp;lt; 0.05), with rotational grazing strategies increasing concentration around water sources (P &amp;lt; 0.05). This indicates an opportunity to utilize precision livestock technology to facilitate pasture management and increase space utilization in grazing cattle.

Creating a population-wide Desirable Health Service Utilisation Indicator using linked health and administrative data

Background and ObjectiveHealthcare research faces challenges in developing metrics that resonate with the general public or policymakers. We created a Desirable Health Service Utilisation Indicator (DHSUI) to address this gap, centred around New Year’s wishes for survival and non-occurrence of undesired events in the following year, for the population of Wales, UK, following discussions with policy-makers. MethodsWe accessed and linked individual electronic healthcare records from primary and secondary care sources within the Secure Anonymised Information Linkage (SAIL) Databank. The study used data for all Welsh General Practice registered individuals on the 1st January 2015 with follow-up until residency break, death, or 31st December 2022. The DHSUI was calculated per person per year and quantified the distribution of the population who survive calendar years and do not use selected health services (not admitted to hospital; no emergency department attendance; and not prescribed antibiotics, analgesics, or mental health drugs). We linked area level demographic data to measure socio-economic differences in DHSUI distribution. ResultsFocussing on 2022, a population of 2,668,977 people were included, with 1,150,347 (43%) identified as meeting the indicator. The proportion of desirable health decreased significantly with age and with increasing socio-economic deprivation. A higher proportion of males (50%) had desirable health compared to females (37%). The most prevalent sub-indicator among those with undesirable health was antibiotic prescriptions accounting for 52% of cases. ConclusionThis DHSUI indicator is easy to interpret and will assist policymakers and the public in understanding the magnitude and distribution of desirable healthcare utilisation.

Investigating an Asymmetric Ratio Cosine Distribution

Most real-world data have asymmetric features, slight or pronounced, that cannot be analyzed in depth using classical symmetric distributions. This is especially true when the underlying phenomena take their values in bounded support. Examples include data with support (−1, 1), which may correspond to daily temperature anomalies, stock market returns and satisfaction ratings, among others. Motivated by this last point, this article introduces a novel asymmetric cosine distribution of the ratio type. It aims to extend the functionalities of the classical cosine distribution by incorporating two adjustable parameters that allow for flexible levels of asymmetry. The main functions and theoretical properties such as moments, quantiles and distributional properties are studied. Some derived distributions are also established, extending the scope of the Cauchy and half-Cauchy distributions. Applications to simulated data in hypothetical environmental, financial and sentiment analysis scenarios demonstrate the practical utility of the asymmetric cosine distribution in capturing nuanced behavior.

SP6.14 - The Burden of Penetrating Junctional Injuries in a UK Major Trauma Centre: a Retrospective Cohort Study

Abstract Background Junctional injuries occur at the join of ‘anatomically distinct zones’. The emergence of junctional injuries in trauma care has been a consequence of recent battlefield casualties; accounting for 21% of potentially survivable deaths from haemorrhage. Although well described in military literature, there are no civilian studies into junctional injuries. This study aims to examine the epidemiology and resource burden of junctional penetrating injuries. Methods Retrospective study of adult and paediatric patients with penetrating injuries to a junctional zone presenting to an urban MTC in one year. Electronic patient records were searched and data on anatomical distribution of injury, imaging and theatre utilisation, inpatient stay, and discharge codes extracted. Discharge codes were referenced with the National Schedule of NHS costs to produce a cost. Results In 132 patients 92.4% (n=122) were male with median age 27.5 and in hospital mortality 1.6% (n=2). Saturday and Sunday were most frequent 37.9% (n=50) and 81.8% (n=108) attended after 1700 and before 0800. 37.9% (n=50) of injuries were buttock; 22% (n=29) neck; 18.9% (n=25) multiply-injured; 8.3% (n=11) axilla; 6.8% (n=9) diaphragm; and 6.1% (n=8) groin. Median Injury Severity Score (ISS) 8. 46.2% (n=61) underwent surgery; 50.8% (n=67) were admitted, 7.6% (n=10) to ITU. Median length of ward stay was 3 days. 15.9% (n=21) received blood products. The overall cost was £914,076. Conclusion Junctional injuries are a significant resource burden. Buttock wounds were the most common but had the lowest median ISS and cost. Diaphragmatic injuries appear distinct from junctional wounds in terms of ISS and cost, and may be separate to other junctional zones.

Prevalence, spatial distribution and determinants of complete childhood pneumococcal conjugate vaccination in Ethiopia: spatial and multilevel analyses

IntroductionPneumococcal disease is a serious global public health concern. The primary causative agent of severe illnesses such as pneumonia, meningitis, acute otitis media, and bacteremia is the pneumococcus bacterium. The pneumococcal conjugate vaccine is a key strategy to reduce the burden of pneumococcal disease. Understanding the spatial distribution of complete childhood pneumococcal conjugate vaccine utilization and its associated factors is crucial for designing strategies to improve vaccination implementation. Therefore, this study aimed to determine the spatial distribution of complete childhood pneumococcal conjugate vaccination coverage and identify its determinants in Ethiopia.MethodA spatial and multilevel analysis was conducted using data from the 2019 Ethiopian Mini Demographic and Health Survey. The analysis included a total of 2,055 weighted children. The association between the outcome variable and the explanatory variables was determined by calculating adjusted odds ratios at a 95% confidence interval. Explanatory variables were considered significantly associated with the outcome if the p-value was less than 0.05.ResultThe prevalence of complete childhood pneumococcal conjugate vaccination in Ethiopia was 53.94% (95% CI: 51.77, 56.08). Higher complete childhood pneumococcal vaccination coverage was observed in the Addis Ababa, Tigray, Amhara, Benishangul-Gumuz, and Oromia regions, while lower coverage was seen in the Afar, Somali, and SNNPR regions of Ethiopia. Factors significantly associated with complete childhood pneumococcal conjugate vaccination included maternal age, antenatal care visits, place of delivery, region, community women’s literacy level, community poverty level, and community antenatal care utilization.ConclusionThe distribution of complete childhood pneumococcal conjugate vaccination exhibited spatial variability across Ethiopia. Approximately half of children aged twelve to thirty-five months received the full dose of the childhood pneumococcal conjugate vaccine in the country. Several factors were identified as statistically significant determinants of complete childhood pneumococcal conjugate vaccination, including maternal age, antenatal care visits, place of delivery, region, community women’s literacy level, community poverty level, and community ANC utilization. Therefore, policies and strategies aimed at combating pneumococcal disease should consider these determinants and address areas with low vaccination coverage.

Case Definition for Diagnosed Alzheimer Disease and Related Dementias in Medicare

Lack of a US dementia surveillance system hinders efforts to support and address disparities among persons living with Alzheimer disease and related dementias (ADRD). To review diagnosis and prescription drug code ADRD identification algorithms to develop and implement case definitions for national surveillance. In this cross-sectional study, a systematic literature review was conducted to identify unique International Statistical Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) and prescription drug codes used by researchers to identify ADRD in administrative records. Code frequency of use, characteristics of beneficiaries identified by codes, and expert and author consensus around code definitions informed code placement into categories indicating highly likely, likely, and possible ADRD. These definitions were applied cross-sectionally to 2017 to 2019 Medicare fee-for-service (FFS) claims and Medicare Advantage (MA) encounter data to classify January 2019 Medicare enrollees. Data analysis was conducted from September 2022 to March 2024. ICD-10-CM and national drug codes in FFS claims or MA encounters. The primary outcome was counts and rates of beneficiaries meeting each case definition. Category-specific age, sex, race and ethnicity, MA enrollment, dual-eligibility, long-term care utilization, mortality, and rural residence distributions, as well as frailty scores and FFS monthly expenditures were also analyzed. Beneficiary characteristics were compared across categories, and age-standardized to minimize confounding by age. Of the 60 000 869 beneficiaries included (50 853 806 aged 65 years or older [84.8%]; 32 567 891 female [54.3%]; 5 555 571 Hispanic [9.3%]; 6 318 194 non-Hispanic Black [10.5%]; 44 384 980 non-Hispanic White [74.0%]), there were 4 312 496 (7.2%) with highly likely ADRD, 1 124 080 (1.9%) with likely ADRD, and 2 572 176 (4.3%) with possible ADRD, totaling more than 8.0 million with diagnostic evidence of at least possible ADRD. These beneficiaries were older, more frail, more likely to be female, more likely to be dual-eligible, more likely to use long-term care, and more likely to die in 2019 compared with beneficiaries with no evidence of ADRD. These differences became larger when moving from the possible ADRD group to the highly likely ADRD group. Mean (SD) FFS monthly spending was $2966 ($4921) among beneficiaries with highly likely ADRD compared with $936 ($2952) for beneficiaries with no evidence of ADRD. Differences persisted after age standardization. This cross-sectional study of 2019 Medicare beneficiaries identified more than 5.4 million Medicare beneficiaries with evidence of at least likely ADRD in 2019 using the diagnostic case definition. Pending validation against clinical and other methods of ascertainment, this approach can be adopted provisionally for national surveillance.

Exploring the association between multidimensional poverty and antenatal care utilization in two provinces of Papua New Guinea: a cross-sectional study

BackgroundAlthough global poverty rates have declined in the last decade, the fall in the Asia-Pacific region has been slow relative to the rest of the world. Poverty continues to be a major cause of poor maternal and newborn health, and a barrier to accessing timely antenatal care. Papua New Guinea has one of the highest poverty rates and some of the worst maternal and neonatal outcomes in the Asia-Pacific region. Few studies have investigated equity in antenatal care utilization in this setting. We explored equity in antenatal care utilization and the determinants of service utilization, which include a measure of multidimensional poverty in Papua New Guinea.MethodsTo explore the association between poverty and antenatal care utilization this study uses data from a ten-cluster randomized controlled trial. The poverty headcount, average poverty gap, adjusted poverty headcount, and multidimensional poverty index of antenatal clinic attendees are derived using the Alkire-Foster method. The distribution of service utilization is explored using the multidimensional poverty index, followed by multivariate regression analyses to evaluate the determinants of service utilization.ResultsThe poverty headcount was 61.06%, the average poverty gap 47.71%, the adjusted poverty headcount 29.13% and the average multidimensional poverty index was 0.363. Further, antenatal care utilization was regressive with respect to poverty. The regression analyses indicated that older women; being a widow (small number of widows (n = 3) asserts interpreting result with caution); or formally employed increase the likelihood of accessing antenatal care more often in pregnancy. Travelling for over an hour to receive care was negatively associated with utilization.ConclusionThis study indicated high levels of multidimensional poverty in PNG and that ANC utilization was regressive; highlighting the need to encourage pregnant women, especially those who are economically more vulnerable to visit clinics regularly throughout pregnancy.

Investigation of distribution system modification using operation voltage unification in order to decrease interruptions in dust climate

Many events in power networks which caused failure and outage of subsystems have root in design and initial selection of equipment and their specification. This concern will be important while the any kind of expanding and acclimation plan need to be executed to strengthen the existing infrastructures in order to provide better condition with regard to satisfied criteria. In Iran one of the most adverse environmental occurrences known Fine Dust, may force several distribution utilities to be changed due to new technical requirements. Medium voltage level regrading in way to decrease or unification of distribution system have been proposed in this paper to reach reduced faults and fast replacement of equipment in damaged situations. Voltage level changing and selection have been investigated in order to increase the network strengthen and reselection of equipment and redesigning critical sections of system against natural events that called fine dust with aim to attain an upgraded distribution utility. Operating of existing 33 kV and 11 kV network in 20 kV level and investigation of changing process have been done for Ahvaz medium voltage distribution system as a case study in these paper's sections. Calculations and results will be contained maximum current capacities in different line conductors, insulation and air clearances assessment, poles acceptable mechanical values, short circuit current and protection coordination for changing voltage level in distribution system.

Hospital competition when patients learn through experience

We study competing hospitals’ incentives for quality provision in a dynamic setting where healthcare is an experience good. In our model, the utility a patient derives from choosing a particular provider depends on a subjective component specific to the match between the patient and the provider, which can only be learned through experience. We find that the experience-good nature of healthcare can either reinforce or dampen the demand responsiveness to quality and the hospitals’ incentives for quality provision, depending on two key factors: the shape of the distribution of match-specific utilities and the cost relationship between quality provision and treatment volume. We establish conditions under which ignoring the experience dimension of healthcare leads to inaccurate assessments of the competitiveness of hospital markets.

52322 Trends in phototherapy utilization, payments, and geographic distribution: an analysis of United States Medicare Part B from 2000 to 2021

52322 Trends in phototherapy utilization, payments, and geographic distribution: an analysis of United States Medicare Part B from 2000 to 2021

The Characteristics and Variation of the Golden Eagle Aquila chrysaetos Home Range

Satellite tracking allows for novel investigations into golden eagle home range characteristics. Understanding home range characteristics is important for conservation and for assessing the potential impact of landscape changes from forest planting, wind farms, etc. Small sample sizes, inconsistent definitions and methods restricted several previous studies. Our study involved 69 resident tagged eagles with over one year of data across five Scottish regions. Home range size was estimated from 95% isopleth contours extracted from Utilisation Distributions. Above a small threshold, estimated range size was not affected by the number of records but at least one year of data is required, largely because of the breeding and non-breeding seasonal differences. There were no significant range size differences between birds tagged as range holders and those previously tagged as nestlings. Across four regions, with considerable intra-regional variation, planar 95% isopleths did not differ (medians, km2): Argyll 58.9, Northwest Highlands 61.7, Northeast Highlands 89.3, South of Scotland 91.9. Ranges in the isolated Outer Hebrides region were exceptionally small, at 24.0 km2. Estimated range area was usually reduced to 70–80% of the planar area when restricted to usable habitat, as estimated by the Golden Eagle Topography (GET) model. Applying measures of known unsuitable habitat (closed-canopy commercial forest and wind turbines) further reduced usable open land. Loss of otherwise suitable habitat was substantially due to commercial forest. Larger ranges had larger extents of suitable habitat (according to GET), with no apparent optimum of preferred GET habitat. Range size was not different across a year between the sexes. Breeding ranges were smaller, and females’ breeding ranges were much smaller than those of males, but larger than males’ ranges in the non-breeding season. Breeding attempt duration was probably also influential. Our study provides novel insights into golden eagle home range characteristics and can guide further research and practical applications.

Beyond the Meter: Understanding Consumer Satisfaction with Torrent Power in Bhiwandi

This thesis investigates consumer satisfaction with Torrent Power, an electricity distribution company operating in Bhiwandi, Maharashtra, India. It examines how various factors, including pricing, billing transparency, service quality, and grievance redressal, influence consumer perceptions and satisfaction. By employing a mixed-methods research design, this study explores the complexities of consumer-utility relationships in the Indian context. Findings reveal that while customers appreciate certain aspects of Torrent Power’s services, concerns about pricing, billing clarity, and power outages significantly impact overall satisfaction. Recommendations are provided to enhance customer experience and improve Torrent Power’s service delivery. This research contributes to the growing body of literature on consumer satisfaction in the electricity sector by providing insights into the specific challenges and opportunities faced by a distribution company operating in a developing country context. The findings of this study have implications for policymakers, industry practitioners, and consumer advocacy groups seeking to improve the performance of electricity distribution utilities.

A new two-parameter Rayleigh distribution: Statistical properties, actuarial measures, regression analysis, and applications

This paper presents a novel two-parameter distribution derived from the Rayleigh distribution, thoroughly investigating its essential mathematical properties. We employ estimation techniques to determine the proposed distribution's estimated parameters. Through extensive simulation studies, we analyze and evaluate the asymptotic behavior of the model estimators. Furthermore, we calculate various actuarial measures to highlight the practical utility of the proposed distribution in actuarial science. To further substantiate the applicability of our distribution, we perform a comprehensive regression analysis. The practical relevance of the proposed distribution is demonstrated by modeling a lifetime dataset from the insurance field, where it exhibits a superior fit compared to existing distributions. The findings suggest that the new distribution significantly improves modeling capabilities, making it a valuable tool for theoretical research and practical applications in fields requiring accurate lifetime data modeling.

Role of Indian power markets in energy transition

India's power sector is transforming rapidly, marked by rising demand and a growing share of renewables. The short-term power market provides option for power distribution utilities to meet demand exigency. The paper presents trends and perspectives of short-term electricity trading of select states of India. Market transactions reflect seasonal demand variations, higher during summer-monsoon months, dipping in winters. Analysis of data highlights substantial share of short-term power in the total procurement. Quantum of power traded correlates inversely with operational performance of thermal plants as well as grid share of renewable energy. Suggested policy measures include honing of demand forecasting skills using advanced metering infrastructure, deploying energy storage technologies, including decentralized solar, ensuring sustained supply of coal and preventive maintenance of thermal power plants, initiating seasonal procurement contracts with merchant power plants, encouraging power banking arrangements and including storage component in solar and wind tenders. Power markets, if employed appropriately, can help minimize the demand-supply gap, facilitate energy access, and accommodate higher quantum of green power, thus fulfilling SDG-7 targets.