Choice Of Topics Research Articles

Multidimensional evaluation for environment impacts of plastic straws and alternatives based on life cycle assessment

The low price and excellent flexibility of plastic straws make them very popular, yet their short lifespan and improper disposal after use result in major resource waste and environmental burdens. To this end, paper straws and polylactic acid (PLA) straw alternatives have emerged on the market. Aiming to present a comparative sustainability study of drinking straws, this article provides a life cycle assessment of drinking straws made of polypropylene (PP), paper, and polylactic acid (PLA) based on Chinese context, as well as a scenario analysis of the availability of low-carbon electricity (LCE) and its recycling capacity (RC). The functional unit was set as a straw suitable for 500 ml milk tea cups, and the system boundary is from cradle to grave, including raw material preparation process, straw production process, usage process, waste process, transportation and recovery process. The comparative analysis revealed that the plastic straw alternative would not be superior in all indicators, but would lead to environmental problem-shifting, which will provide a basis for decision making and avoid bias caused by subjective choices. Scenario analysis shows that the synergistic effect of LCE and RC can minimize the environmental burden for paper straw, especially in terms of Primary Energy Demand (PED) which reduced by 27.9% with 100% RC and 50% LCE, and this is mainly due to RC. The findings of this work can offer theoretical justification, data references, and fresh perspectives for environmental evaluation of straws.

RESIDENTIAL SPATIAL DIFFERENTIATION AT THE COMMUNITY LEVEL IN HANGZHOU, CHINA

Residential spatial differentiation is an important social issue for every large city to explore. The “subcultural” clusters formed by the subjective choices of a city’s residents divide the living spaces of the city and create residential differentiation. A study of this phenomenon would help to facilitate the allocation of urban resources and the formulation of relevant development strategies. In recent years, Hangzhou, one of the major developed cities in China, has seen a gradual increase in the proportion of its non-local population. Employing principal component analysis and K-means clustering, this study investigated the city’s spatial differentiation of living spaces at the community level and identified the social clustering areas. The Shannon-Wiener index and the index of dissimilarity were used to examine the degree of residential segregation in each administrative district. The results showed that the functional distinctions among the districts of Hangzhou were pronounced and had certain degrees of class solidification. A certain spatial coupling was observed between residential differentiation and housing prices. More reasonable allocations of social resources would help to ameliorate the negative effects caused by the spatial differentiation of living spaces.

On Becoming a People’s College: Placemaking as Hidden Curriculum

This research was originally presented as a chapter in the doctoral dissertation On Becoming a People’s College: An Appreciative Inquiry. Appreciative Inquiry (Ai) is a participatory approach to organizational change focused on an affirmative topic choice. The topic choice of the dissertation was equity, democracy, and justice at the selected site. This article shares the motivations and relevant characteristics of the chosen fieldwork site, De Anza College. Three categories of considerations for the role of place and placemaking within the institution’s hidden curriculum are described: institutional identities, organizational features, and resource scarcity. These characteristics are followed by a discussion of levers of change for enhancing the role of placemaking within the hidden curriculum: prefigurative politics, creativity, and the Anchor Institution approach.

Paris and its Revolutionary Ideas: A Guide to French Culture and the Capital by Suzanne Lalonde

Reviewed by: Paris and its Revolutionary Ideas: A Guide to French Culture and the Capital by Suzanne Lalonde Erika E. Hess LaLonde, Suzanne. Paris and its Revolutionary Ideas: A Guide to French Culture and the Capital. Cognella, 2021. ISBN 978-1-5165-3870-6. Pp. xxii + 213. "Can the past shed light on our future?" (xviii). That is the question that LaLonde asks as she searches for guidance––for herself and her students––in dealing with contemporary social, environmental, and medical crises. Turning to French revolutionary thinkers, she answers that through them "we may very well" find inspiration and guidance (xviii). LaLonde's original and ambitious work is designed as a textbook for students studying Parisian culture; it includes analyses of writers, artists, philosophers, scientists, and others who "confronted troubling times" in their own eras and "responded with revolutionary ideas" (xviii). She divides her study into ten chapters based on forms of revolution: educational, moral, ethical, political, emotional, artistic, psychological, metaphysical, psycho-philosophical, and global. Each chapter is clearly organized, beginning with a timeline of the key events, and including "Tool Boxes" with study tips, such as "History to Focus on While Reading" (3) or "Concepts from Literature to Focus On" (9), as well as questions to assist students, "Connect the Past with the Present" (9), and "Thinking Allowed: Topics to Ponder and Debate in Class" (xxii). Each chapter also has a "we may very well guide" (or guides), a key figure or writer in the revolutionary idea of that chapter. Throughout her study, LaLonde draws particular attention to paradigm shifts that "promoted a greater sense of dignity for humanity and the natural environment" (xviii), and she focuses primarily on literature and art because, she says, "Literature and art not only make us hear the voice of the voiceless, but they also prime our minds to feel empathy for others" (xx). LaLonde periodically relates a chapter's topic of study to contemporary issues to aid students in drawing connections between the past and present. For example, in her discussion of André Breton, LaLonde contrasts the revolutionary expansiveness of surrealism with the lack of innovation of realism, saying: "Images from realist literature mirror viral clichés on Facebook, kitschy objects for sale at a museum, or stock images on the Internet" (133). She incorporates a vast range of material, first providing necessary historical background for each chapter and then undertaking an analysis of some key works. For example, in chapter IX, "A Psycho-Philosophical Revolution: A Decolonization of the Mind," LaLonde begins with a summary of "colonial history in general" and then moves on to the history of the French colonial empire––together these comprise six pages (168-174); she then turns to Albert Camus and Frantz Fanon, providing a brief biography of each, followed by a short study of their key works. Finally, LaLonde discusses the Quai Branly Museum and its "contradictory goals" (182). Given the broad range of topics, LaLonde's treatment of each is necessarily introductory, however her original perspective and stimulating choice of topics create an [End Page 298] exciting and timely study. The textbook could be used in its entirety for a lower-division course of French culture focusing on Paris, or it could be supplemented for more advanced courses. The book is written entirely in English (all French words and phrases are translated). [End Page 299] Erika E. Hess Northern Arizona University Copyright © 2023 American Association of Teachers of French

Narrating Tales of Displacement: Fragmented Memory and Partition Stories

For the children of families that have experienced partition, relating to roots and a place of belonging is never without complications. They tend to relocate themselves multiple times in physical places as well as mental spaces. Unfortunately, the final settling never takes place for them, neither in the new place, where the family relocates to, nor in the mind that is a storehouse of experiences of migration. They remain ‘in-between’ and continue negotiating between the past and the present through fragmented as well as tormented memories. This paper attempts to study the complexity of belongingness for those who have lived the experiences of the Partition and how this complexity continues across generations. This will be done through a methodology of writing personal narrative and reviewing testimonies of those who experienced the Partition, along with the members of their families. The primary sources for this paper are personal testimonies of the family members, community magazine Pothohar, the short story ‘Bhenji Parmeshri’ based on the oral tales narrated by the researcher’s grandmother, films Sardar Mohammad (2017) and Eh Janam Tumahare Lekhe (2015) and a testimony of Mohinder Kaur in the newspaper. The paper will evaluate the experience of those who suffered owing to Partition by connecting the contact points, like experience of migration, displacement of families, killing of daughters by their fathers etc. as depicted in the texts and testimonies taken for the study. Personally, the researcher’s grandfather, Harbans Singh lived for 102 years witnessing and participating in events around the Freedom Movement, the Partition of India, the 1971 war with Pakistan, the Emergency, the 1984 anti-Sikh massacres, and finally the recent pandemic (COVI-19). At all major incidences he suffered personal losses. While throughout his life, he kept narrating his experiences of the Partition and the eventual victims’ migration to India, but towards the end of his life, he refused to talk about it anymore. He became very selective in his choice of subject for a conversation. Nevertheless, his village and place of birth, never skipped him. Even in his dementia, any reference to his birthplace would attract his attention. The paper is an attempt to study how physical places become permanent fixatures and sites of memory that surface at a slightest trigger. These incidences are the deepest traumatic sites that never recover.

학생 선택형 교육과정의 운영 성과 및 영향 요인에 대한 연구

The purpose of this study is to investigate the performance of the student-selective curriculum and the influencing factors through a case study of an autonomous private high school that operates the curriculum, which is the basic principle of the high school credit system. To this end, this study interviewed school members and analyzed it using the Modified Grounded Theory Approach. The results of the study are as follows. The school offered various subjects for students to choose autonomously depending on their career paths and aptitudes, which improved their self-direction, learning motivation, and suitability for major resulting in excellent university admissions. The factors to make the achievements are a wide range of subject choices, a diploma system to inform course completion conditions, and the curriculum center to develop and operate the curriculum. In addition, school management based on a clear educational philosophy, collaborative school culture with the support of school corporation, and the college admission system consistent with the school curriculum contributed to the performance.

Application of microcomputed tomography to calculate rat intervertebral disc volume as a surrogate measure of degeneration

ABSTRACT Chronic low back pain (LBP) is a global socioeconomic crisis. Etiological research suggests the predominant pathology associated with chronic LBP is disc degeneration. The disc is a composed of a cartilaginous end plate, nucleus pulposus, and annulus fibrosus. The disc is predominantly avascular and aneural, predisposing it to degeneration. Disc degeneration in humans can be diagnosed using X-ray imaging and quantified using a measurement known as disc height index (DHI). DHI is also the current gold standard for evaluating disc degeneration in animal models. Unfortunately, X-ray imaging suffers poor spatial resolution, limiting the precision of DHI in rodents. Further, the application of disc height as a surrogate for degeneration involves subjective choices by experimenters, decreasing reliability. Microcomputed tomography (µCT) generates 3D reconstructions with profound spatial resolution. µCT has been used to measure disc degeneration, however, this work used costly contrast agents that increase procedure time. The objective of this work was to create a novel method for using µCT to assess disc degeneration in real-time, non-invasively and without contrast agents. Herein we describe a method for quantifying disc volume in vivo using µCT and the data suggest that this metric is precise, reliable, and sensitive to disc degeneration.

Quasi-2-D Bayesian inversion of central loop transient electromagnetic data using an adaptive Voronoi parametrization

SUMMARYCentral loop transient electromagnetic (TEM) data are often interpreted by conventional 1-D or quasi-2-D inversion techniques. For example, the lateral constrained inversion (LCI) is a powerful technique for quick interpretation of central loop TEM data, and can produce spatially consistent resistivity images for profile data by assuming spatial correlation between adjacent model parameters. Such quasi-2-D techniques are very powerful in cases multidimensional effects are small or negligible. However, the inverse solution of conventional LCI methods strongly depends on subjective interpreter choices such as the model regularization and the imposed lateral constraints. Due to inherent non-linearity and nonuniqueness of the TEM inverse problems, this can result in biased model parameters and their estimated model uncertainties. We present a transdimensional Markov chain Monte Carlo method for the quasi-2-D inversion of TEM data using a Bayesian inference framework. We term the approach quasi-2-D, since the model is parametrized in 2-D with unstructured Voronoi cells, whereas the TEM response at each station is predicted using a 1-D forward solution to make the problem computationally affordable. During the inversion, the number of Voronoi cells as well as their positions and resistivities are variable. Accordingly, the level of model complexity is automatically determined by the framework and adapted to the spatial resolution of the data, thus avoiding the need for subjective model regularization or spatial constraints. The approach is validated using synthetic data and compared to 1-D Bayesian and conventional Gauss Newton inversion techniques. The application to dense field data from a floating TEM survey leads to a consistent subsurface image with unbiased uncertainty estimates and a plausible depth of investigation. The quantitative uncertainty information provided by the Bayesian framework is beneficial in identifying resolution.

Bohemian sandstone for restoration of cultural heritage sites: 3D microstructure and mass transport properties

We characterised the microstructure of sandstone from the Msene locality (Czech Republic) by combining X-ray computed micro-tomography, back-scattered electron imaging, chemical composition analysis and textural analysis and gas permeation. Both, 2D and 3D images were commonly processed by linking an anisotropic non-linear diffusion filter and a segmentation method based on power watershed. This approach guaranteed binarised outputs that were almost the same in wide ranges of spatial-filter and power-watershed parameters, i.e., subjective choices of the parameters played the negligible role. The rock pore structure was found to be statistically homogeneous and almost isotropic with perfectly connected pore space. We also partitioned the void and solid phases into either grains or pores and throats, which enabled us to study characteristic sizes and connectivity of partitioned regions. By comparing pore and throat sizes, we demonstrated the significant convergent-divergent nature of the pore space because the throat size covered at most one half of the total surface area per pore (cavity). In addition, we calculated coordination numbers for all pores (cavities) to verify almost perfect connectivity of internal pores with those at the external surface. Effective (macroscopic) transport properties of the reconstructed pore space were simulated and the results were validated by experimentally observing steady state flow of inert gas. These findings appear to be a favorable starting point for future investigation of consolidation procedures. The well-connected pore structure with minimum occurrence of dead-end pores suggests that the consolidation agent is very likely to flood the whole pore space.

Game Analysis of the Influence of the Miner under Carbon Emotion on the Intelligent Development Strategies of the SMEE in Coal Mines

The intelligent development of coal mines is a crucial way to achieve the safe, efficient, green, and low-carbon transformation of the coal industry and to reach the “double carbon” target, which is related to the life and health of miners, the stable development of enterprises and the national energy reform. As directly affected subjects, the cooperative attitudes of miners in different emotional states have a significant impact on the smooth implementation of intelligent coal mine renovation projects. Hence, we combined the RDEU theory and game theory, constructed a three-party evolutionary game model of the small and medium-sized energy enterprises (SMEE), the government, and the miner, considered the influence of the strategies made by the miner on the equilibrium strategy choices of other game subjects in the intelligent coal mine construction under the rational and irrational emotional states of the miner, and finally used MATLAB 2021 to simulate and analyze the impact of the evolution of the gaming system from 3 key elements: initial participation rate, construction costs, and government support. The study found the following: (1) The government will insist on actively promoting intelligent coal mine construction regardless of the miner’s emotional state. (2) Both moderate pessimism and optimism will, to a certain extent, give a positive impetus to the development of intelligent coal mine construction. (3) The miner’s emotions have a greater impact on SMEE than on the government’s strategic behavior. (4) Excessive construction costs or low government support will make SMEE may reduce the enthusiasm of SMEE to carry out an intelligent construction of coal mines. Accordingly, corresponding suggestions and countermeasures are put forward, aiming to provide targeted and practical ideas for the efficient construction of intelligent coal mines in China, thereby accelerating the green and low-carbon transformation of energy.

Three-Party Stochastic Evolutionary Game Analysis of Supply Chain Finance Based on Blockchain Technology

In the process of accounts receivable financing under supply chain finance, the phenomenon of accounts receivable forgery and default have caused great pressure on the supervision of financial institutions. We consider the integration of blockchain technology with a supply chain finance platform around the fraudulent default phenomenon in supply chain finance receivables financing and construct a three-party stochastic evolutionary game model among financial institutions, core enterprises, and Micro, Small, and Medium Enterprises (MSMEs). Firstly, we use Ito^’s stochastic differential equation theory to analyze the conditions for the stability of the behavior of game subjects. Secondly, we use numerical simulations to quantitatively analyze the impact of the regulatory strength of financial institutions, the information sharing of the blockchain platform, and the change of incentive parameters on the strategy choice of game subjects. Through the above analysis, we conclude that the information-sharing incentive coefficient promotes financial institutions to choose to connect to the blockchain platform, and the information-sharing risk coefficient and the regulatory intensity have the opposite effect on the blockchain platform construction. Meanwhile, the allocation of incentive shares has a significant influence on the core enterprises. Finally, we give priorities and directions for adjusting the relevant parameters to provide recommendations for financial institutions to regulate the financing process more effectively.

Photography in the Late Qing Dynasty: A Comparative Study

Photography was introduced to China in the early 1840s. The early Western photographers in China were mainly driven by artistic pursuit or curiosity of the Orient. This paper argues that the artistic value of photography was higher and the purpose of photography was simpler during the first years of its introduction to China than the late nineteenth century when photography was increasingly associated with colonialism. The situation of Western photography in China changed profoundly in the latter decades of the nineteenth century: photography began to serve colonialism, and photographers became accomplices of the colonizers. In addition, this paper also addresses the experience of Zou Boqi, the first Chinese photographer, who combined traditional Chinese knowledge with Western science and produced the first Chinese camera in 1844. Both Chinese and Western photography have evolved as the technology advanced over time. However, Chinese and Western photographers differed greatly in their techniques, motivations, and choices of subject.

Collaborative work as a didactic strategy to mitigate the inadequate coexistence between Venezuelan and Colombian students.

The objective of this research project is to mitigate school coexistence problems between Colombian and Venezuelan students through the implementation of collaborative work as a didactic strategy to achieve this goal. The project was based on the qualitative approach and action research. Tools such as focus group, semi-structured interview and direct observation were used. It was divided into 4 phases. The first phase consisted of carrying out a diagnostic analysis through the interview instrument in order to know through the testimonial source the level of difficulty with respect to the coexistence scenario. In the second phase, the didactic strategy based on collaborative work was applied, taking as a starting point the choice of certain topics that would generate impact and help the purpose of the work. In the third phase, the degree of assertiveness of the applied strategy was analyzed, as well as the opportunities for improvement of the group, with the participation of the teachers of the areas of Spanish, religion and ethics in this stage. Finally, the results were analyzed and showed signs of progress in the elimination of discriminatory and segregating scenarios of some students towards others. In the conclusions, the need to adapt the IEP, the curriculum, generate new spaces for interaction that enable collaborative work, respect and empathy, and train the teaching staff in the use of appropriate strategies to maintain a coexistence environment based on respect for differences is taken for granted.

Pembangunan Website dan Sarana Podcast UMKM Kampung Digital Sentra Kreasi Desa Pameungpeuk

Podcast content is increasingly being consumed by people in the world. As many as 32% of Indonesian internet users admit that they have listened to podcasts in the past week. Podcasts have become popular among young people in recent years, after platforms such as Spotify made it possible to explore digital content. Business and education topics are included in the top five podcast topic choices, as many as 67% of the 2,500 respondents in Indonesia are familiar with podcasts, and some of them are even loyal listeners. The UMKM Community in the Digital Sentra Kreasi Village is a place where Micro, Small and Medium Enterprises (MSMEs) in Pameungpeuk District and its surroundings gather. This community embraces business people with a variety of products produced. Seeing the potential of Podcasts as a place with quite a large number of listeners in Indonesia, to be used as education and marketing for MSMEs. The MSMEs Community of Kampung Digital Sentra Kreasi intends to build an MSMEs Podcast in collaboration with Telkom University's Ko+Lab and is planned to be held every month.

Evolutionary game analysis of energy saving behavior of tourism enterprises under carbon emission constraints

Abstract As one of the sectors affected by global climate change, tourism enterprises are actively seeking feasible energy-saving and emission reduction schemes. The article adopts the evolutionary game approach and establishes the game matrix between tourism enterprises and the government. The research results show that the strategy choice of the two-game subjects depends on the initial state and its evolutionary path. The local government needs to adjust penalty measures for environmental pollution of tourism enterprises and reduce the cost of controlling low carbon reasonably tourism. Enterprises need to reduce the cost of saving energy through dynamic adjustment of carbon emission rewards, which are the basis of the long-term perspective and the big picture. On the premise of considering both interests, tourism enterprises and government should make joint efforts to achieve the goal of energy conservation, environmental protection and sustainable development.

Correlations between the selection of topics by news media and scientific journals.

The aim of this study is to reveal a robust correlation between the amount of attention international journalism devotes to scientific papers and the amount of attention scientific journals devote to the respective topics. Using a Mainstream-Media-Score (MSM) ≥ 100 (which we regard as an indicator for news media attention) from the altmetrics provider Altmetric, we link 983 research articles with 185,166 thematically similar articles from the PubMed database (which we use to operationalize attention from scientific journals). The method we use is to test whether there is a concomitant increase in scientific attention after a research article has received popular media coverage. To do so, we compare the quotient of the number of thematically similar articles published in scientific journals during the period before and after the publication of an MSM ≥ 100 article. Our main result shows that in 59 percent of cases, more thematically similar articles were published in scientific journals after a scientific paper received noteworthy news media coverage than before (p < 0.01). In this context, we neither found significant differences between various types of scientific journal (p = 0.3) nor between scientific papers that were originally published in renowned opinion-leading journals or in less renowned, non-opinion-leading journals (p = 0.1). Our findings indicate a robust correlation between the choice of topics in the mass media and in research. However, our study cannot clarify whether this correlation occurs because researchers and/or scientific journals are oriented towards public relevance (publicity effect) or whether the correlation is due to the parallelism of relevance attributions in quality journalism and research (earmark hypothesis). We infer that topics of social relevance are (more) likely to be picked up by popular media as well as by scientific journals. Altogether, our study contributes new empirical findings to the relationship between topic selection in journalism and in research.

Justification of the choice of the taxation system Subjects of entrepreneurial activity

The article is devoted to the problems of taxation of specific business transactions, taking into account the norms of Chapter 21 «Value Added Tax», Chapter 25 «Corporate Income Tax» and Chapter 26.2 «Simplified Taxation System ». Based on the results of the calculations, a comparison of the tax burden was made under the condition of applying the general taxation system or the simplified taxation system. It is proposed to evaluate not only their production and financial results, but also the tax burden (burden) when planning the directions of development of the economic and financial activities of the organization.

Pathogen exposure misclassification can bias association signals in GWAS of infectious diseases when using population-based common control subjects

Genome-wide association studies (GWASs) have been performed to identify host genetic factors for a range of phenotypes, including for infectious diseases. The use of population-based common control subjects from biobanks and extensive consortia is a valuable resource to increase sample sizes in the identification of associated loci with minimal additional expense. Non-differential misclassification of the outcome has been reported when the control subjects are not well characterized, which often attenuates the true effect size. However, for infectious diseases the comparison of affected subjects to population-based common control subjects regardless of pathogen exposure can also result in selection bias. Through simulated comparisons of pathogen-exposed cases and population-based common control subjects, we demonstrate that not accounting for pathogen exposure can result in biased effect estimates and spurious genome-wide significant signals. Further, the observed association can be distorted depending upon strength of the association between a locus and pathogen exposure and the prevalence of pathogen exposure. We also used a real data example from the hepatitis C virus (HCV) genetic consortium comparing HCV spontaneous clearance to persistent infection with both well-characterized control subjects and population-based common control subjects from the UK Biobank. We find biased effect estimates for known HCV clearance-associated loci and potentially spurious HCV clearance associations. These findings suggest that the choice of control subjects is especially important for infectious diseases or outcomes that are conditional upon environmental exposures.

Can “publishing game” pressures affect the research topic choice? A survey of European accounting researchers

This study explores the uninvestigated area of research agenda setting, which has considerable influence on the societal impact of accounting academia, which the paying-off mentality stemming from a “publish or perish” culture risks jeopardizing. More specifically, it investigates the research topic choice of accounting researchers to ascertain whether and how the “publishing game” pressures induced by the governance principles of new public management influence this crucial decision. Survey evidence shows that European accounting researchers choose their research topics by considering (i) explicit research requests, (ii) short-term publishing opportunities, (iii) practical and educational needs, and (iv) the intellectual needs of the academic community. In this respect, researchers seem to form a heterogeneous community that places varying importance on these factors, suggesting different effects of “publishing game” pressures. The three clusters aim at societal impact through diverse avenues, while the probability of rapid publishing seems to be the primary driver of another cluster, thus revealing a substantial risk of goal displacement. This study contributes to the debate on publishing pressures in accounting academia by complementing the contextualized reflections of previous literature with evidence documenting their effects on what (in addition to how) accounting researchers study. These findings have policy and practical implications that can help policymakers, university managers, gatekeepers of the publishing process, and our entire academic community.

How reliable is distribution of relaxation times (DRT) analysis? A dual regression-classification perspective on DRT estimation, interpretation, and accuracy

The distribution of relaxation times (DRT) has gained increasing attention and adoption in recent years as a versatile method for analyzing electrochemical impedance spectroscopy (EIS) data obtained from complex devices like fuel cells, electrolyzers, and batteries. The DRT deconvolutes the impedance without a priori specification of a generative model, which is especially useful for interpretation and model selection when the governing principles of the system under study are not fully understood. However, DRT estimation is an ill-posed inversion problem that must be addressed with a subjective choice of regularization and tuning, which leaves substantial risk of misleading interpretations of EIS data. In this work, we suggest a new classification view of the DRT inversion to clarify DRT estimation and interpretation. We introduce a dual regression-classification framework that unifies the classification and regression views of the DRT inversion with wide-reaching implications for DRT analysis. The dual framework is employed to demonstrate a new kind of DRT inversion algorithm and develop novel evaluation metrics that capture previously ignored aspects of DRT accuracy. These approaches are applied to both synthetic data and experimental spectra collected from a protonic ceramic fuel cell and a lithium-ion battery to illustrate their broad utility. The dual inversion algorithm shows promising performance for accurate DRT estimation and autonomous model identification, while the dual evaluation approach produces metrics that meaningfully assess the strengths and risks of DRT algorithms. This work provides valuable insight for both practical application of the DRT to experimental data and further development of EIS analysis methods.