Categories Of Patterns Research Articles

Advancement of germanium-based thermoelectric materials: a bibliometric and network analysis

Germanium (Ge)-based thermoelectric materials have proven to be a reliable and sustainable solution for efficient energy harvesting across a wide range of temperatures for an extended period. Numerous investigations have been published addressing the future scope of Ge as a thermoelectric material. This article offers a comprehensive bibliometric analysis of the literature related to Germanium-based thermoelectric energy harvesting (Ge-TEH) materials available on Scopus to identify how this material contributes to thermoelectric energy generation. Methodologies such as citation analysis, co-authorship, and co-occurrence analysis are employed to analyze refined data of ‘1867’ documents using 'Visualization of similarity' (VOS) viewer and Biblioshiny. The analysis shows that Ge-TEH has grown significantly worldwide, especially in the last decade. The social and intellectual networks were generated, and the most influencing countries, sources, and institutions were identified. China and the United States (USA) were found to have the highest number of publications, citations, and collaborations. The keywords analysis reveals that ‘lattice thermal conductivity,’ ‘Germanium,’ ‘Seebeck coefficient,’ ‘spark plasma sintering’, and ‘density functional theory’ are the most occurring words, indicating that the dataset features keywords related to thermoelectric materials and their properties. It also suggests a strong emphasis on fabrication methods for optimizing thermoelectric properties. The mutual relevance and categorical patterns of frequently occurring keywords were studied using a factorial analysis graph. This detailed analysis provides critical findings into the evolution and future scope of the research in Ge-TEH.

Opportunity cost of oncology subspecialist opinion.

e13578 Background: The adoption of precision oncology has resulted in a drastic rise in the cost of cancer care in the United States. Payers, providers, and professional organizations are implementing strategies to curb this rising cost. These efforts are mainly focused on the providers patterns of care, such as prescribing behavior and risk assessment for needs such as ER visits and hospitalizations. Most efforts are cross-cutting and intended to work across different tumor types. Yet, with the precision nature of cancer care these cross-cutting efforts have not succeeded. AccessHope (AH) provides an independent subspecialist review of the management cancer as a covered benefit through the employer (Accountable Precision Oncology: APO). The aim of this service is optimizing care delivery to the current and evolving paradigms for each cancer type and sub-type. Here we describe overutilization of treatments and assessments of APO. Methods: AH database was accessed for de-identified cases (with contractual de-identification rights) for this analysis. Cases were completed 1/1/2022 – 12/31/2023. Descriptive statistics was used to describe the observed patterns identified. Results: Among 3644 APOs, 428 (11.7%) had evidence of overutilization. Gastrointestinal, hematological, and thoracic cancers represented 75% of the over utilization cases (Table). Overutilization was categorized by systemic therapy, radiation therapy, invasive procedures, imaging, and testing. Systemic therapy was the most common category (67.8%) and included non-indication use and extended duration of use. This was followed by imaging (22.2%). Systemic agents overutilized varied by cancer site. Bevacizumab and oxaliplatin were commonly overutilized in gastrointestinal cancers; rituximab, imatinib, and dasatinib in hematological malignancies; and check point inhibitors (pembrolizumab, atezolizumab, and durvalumab) in thoracic malignancies. In the imaging category, PET scan overutilization was observed across different tumor types (14.7% of the total volume). We also observed overutilization of molecular testing with ctDNA (Signatera) being at the top of the frequently overutilized tests in cases with no data to support a role for it. Conclusions: This patient centered approach identified areas of overutilization in evaluation and treatment of patients through the expert review process. The reviewer’s depth of knowledge about reported data and limitation of treatments and evaluations is the key to this process. Further analyses of patterns of care and categorization of the overutilization patterns is underway. [Table: see text]

Heritage speaker children’s speech categorization patterns

Bi-/multilingual experiences vary widely due to differing degrees of input frequency, dominancy in languages, and societal preferences for the language(s) used. Heritage bilingualism has received notable attention over the last decade. Heritage bilinguals are those who often use or are exposed to one language at home (the heritage language) that differs from that used outside of the home (the majority language). For a long time, bilingual children’s unbalanced input was targeted as a source of deficiency in categorizing speech. However, prior studies used tasks that were not equipped to address variability in speech categorization across listeners (see Apfelbaum et al., 2022). We use the visual analogue scaling (VAS) task which can capture variability in speech categorization across listeners with more sensitivity and which can reveal new dimensions of differences such as the trial-by-trial variability in responding (Kapnoula et al., 2017; Kutlu et al., 2022). In an ongoing study, we are testing school-aged bilingual children with various heritage language backgrounds (n = 30, 6–11 years). Preliminary findings suggest that heritage speaker children are not deficient in speech categorization, and in fact, show more gradient categorization patterns, suggesting a functional adaptation to increased phonetic variation in their language environment (Kutlu et al., 2022).

A Neopragmatic Perspective on the Processual Nature of Landscape—Coastal Land Loss in Louisiana in the Context of Scientific Findings, Social Patterns of Interpretation, and Individual Experience

The changes on the Louisiana coast due to land loss can be understood as a process, and the social construction of these processes is highly complex. Due to this complexity, we will examine these social patterns of interpretation as well as individual experiences of coastal land loss in Louisiana within a neopragmatic meta-theoretical framework using several methods, data, researcher perspectives, forms of representation, and theories, with a special focus on the construction of coastal land loss by the media. For this purpose, comments below a YouTube video on a hurricane event on Grand Isle, Louisiana, as well as on-site interviews with people affected by coastal land loss, were qualitatively analyzed. The results were interpreted with the help of various theories such as the theory of three landscapes, Dahrendorf’s conflict theory, Bourdieu’s theory of social capital, and Luhmann’s autopoietic systems theory. The research reveals patterns of interpretation, categorization, and evaluation of processes from an internal and external perspective that are highly morally charged.

The role of gradient speech categorization in accent perception

A key question in speech perception research is how listeners categorize highly varied signals into discrete units. The long-held assumption was that listeners discard variation and focus on the category itself (categorical perception, Liberman et al., 1957). However, listeners often encounter highly varied speech signals (e.g., processing unfamiliar accents). In such cases, discarding variation can be detrimental for listeners and can lead to more processing difficulty. Here, in an ongoing online study (n = 80), we measure English-speaking adult listeners’ speech categorization patterns with a continuous measure (the Visual Analogue Scaling Task: Kutlu et al., 2022; Apfelbaum et al., 2022) to see whether they are more susceptible to phonetic variation in their language environments. We index adults’ language exposure with an extensive social network survey which quantifies the extent to which they are exposed to varied accents on a regular basis and what those accents are. We then asked participants to recognize spoken sentences from a diverse set of unfamiliar accents. We predict that adults who are more gradient in their speech categorization are more accurate in transcribing sentences with a diverse set of accents.

Categorization Patterns of Career Plan Choice Based on Demographic Characteristics of Teacher Education Students

This study aims to describe the pattern of categorization of the certainty of career plan choices for educational program students and its relationship with their demographic characteristics. Respondents totaled 377 people (male = 176 and famale = 201) who were drawn randomly from a number of education program students at the University of Lampung. Data on the certainty of students' career plan choices is collected through the CCCS (Career Choice Certainty Scale). The research found that in general the categorization of the certainty of education students' career plan choices is patterned Quite Certain, Not Certain, Certain, Very Certain, Uncertain, and Very Uncertain. In detail, the pattern of categorization of the certainty of students' career plan choices varies according to the grouping of their demographic characteristics (gender: male and female, place of residence: urban and suburban, study program: scientific and social, and family socio-economic status: high, medium, low). The results of examining the relationship between the categorization of the certainty of career plans and students' demographic characteristics, it turns out that where they live, the chosen study program, and the socio-economic status of students' families are significantly related to the certainty of their career choice plans, although the strength of the relationship between these variables is categorized as weak. Meanwhile, the student gender variable was not significantly related to the certainty of their career choice plans.

The development of visual categorization based on high-level cues.

This study investigated the development of rapid visual object categorization. N = 20 adults (Experiment 1), N = 21 five to six-year-old children (Experiment 2), and N = 140 four-, seven-, and eleven-month-old infants (Experiment 3; all predominantly White, 81 females, data collected in 2013-2020) participated in a fast periodic visual stimulation electroencephalographic task. Similar categorization of animal and furniture stimuli emerged in children and adults, with responses much reduced by phase-scrambling (R2 = .34-.73). Categorization was observed from 4 months, but only at 11 months, high-level cues enhanced performance (R2 = .11). Thus, first signs of rapid categorization were evident from 4 months, but similar categorization patterns as in adults were recorded only from 11 months on.

Hypodescent or ingroup overexclusion?: Children's and adults' racial categorization of ambiguous black/white biracial faces.

Two processes describe racially ambiguous Black/White Biracial categorization-the one-drop rule, or hypodescent, whereby racially ambiguous people are categorized as members of their socially subordinated racial group (i.e., Black/White Biracial faces categorized as Black) and the ingroup overexclusion effect, whereby racially ambiguous people are categorized as members of a salient outgroup, regardless of the group's status. Without developmental research with racially diverse samples, it is unclear when these categorization patterns emerge. Study 1 included White, Black, and racially diverse Biracial children (aged 3- to 7-years) and their parents to test how racial group membership and social context influence face categorization biases. To provide the clearest test of hypodescent and ingroup overexclusion, White participants came from majority White neighborhoods and Black participants from majority Black neighborhoods (with Biracial participants from more racially diverse neighborhoods)-two samples with prominent racial ingroups. Study 2 aimed to replicate the parent findings with a separate sample of White, Black, Black/White Biracial, and Asian adults. Results suggest the ingroup overexclusion effect is present across populations early in development and persists into adulthood. Additionally, categorization was meaningfully related to parental context, pinpointing a pathway that potentially contributes to ingroup overexclusion. RESEARCH HIGHLIGHTS: White, Black, and racially diverse Biracial children and adults tended to categorize racially ambiguous Black/White Biracial faces as racial outgroup members, even if the outgroup was White. This contradicts most work arguing Black/White Biracial racially ambiguous people are more often seen as Black. Children and parents' categorizations were related, though children's categorizations were not related to socialization above and beyond parents' categorizations. Children showed similar categorization patterns across dichotomous and continuous measures.

Westerners and Asians Have Different Conceptual Structures: Evidence from Two Categorization Tasks

This research paper examines the contrasting conceptual structures of Westerners and Asians in the context of categorization. Drawing on previous studies, the paper explores the influence of cultural factors on individuals' thought processes, specifically focusing on relational and taxonomic thinking. The central hypothesis posits that Westerners and East Asians differ in their categorization strategies due to cultural variations. The study involved participants from Taiwan and the United States who completed categorization tasks involving biological kinds and artifacts. The results revealed a significant disparity in categorization patterns between the two groups. Westerners exhibited a higher inclination towards taxonomic categorization, whereas East Asians demonstrated a preference for relational categorization. Furthermore, when the relationship between objects was disrupted, East Asians were more likely to perceive a lack of existence compared to Westerners. These findings provide empirical evidence supporting the notion that cultural influences shape cognitive processes and conceptual frameworks.

Kategorisasi Media Siber Hulondalo.Id dalam Framing Pemberitaan Kekerasan Dalam Rumah Tangga Di Gorontalo

As an event that grabs the public's attention, domestic violence (KDRT) is still making headlines in various mass media lines, including cyber media. This study aims to identify cases of domestic violence reported by the cyber media Hulondalo.Id and describe the categorization patterns made by the media to frame domestic violence events in Gorontalo. The method used in this study is a qualitative method with a framing analysis tool from Murray Edelman. The results showed that the cases of domestic violence published by the cyber media Hulondalo.Id were quite diverse. In the news, certain categorizations are formed for perpetrators and victims of domestic violence. This form of categorization becomes a pattern of media framing of cases of domestic violence that occurred in Gorontalo. The pattern made by Hulondalo.Id places the perpetrators as coercive, drunken, sadistic, barbaric, and persecuting figures. Meanwhile, the victim is positioned as a helpless figure, a patient young wife, and a poor woman. Ideologically the media position themselves as siding with the victim. But the textual facts prove that the Hulondalo.Id cyber media tends to exploit the identity of the victim rather than the identity of the perpetrators of domestic violence.

INDONESIAN PREPOSITIONAL PHRASES IN THE SHORT STORY HYANG IBU BY MADE ADNYANA OLE

This study aims to determine the syntactical and functional structure of Indonesian prepositional phrases in the short story "Hyang Ibu" by Made Adnyana Ole. The focus of the study is prepositional phrase markers and their functions in the phrase. This research is a descriptive qualitative research. The data were identified by underlining all simple sentences that have prepositional phrases in it and writing them on several sheets of paper and classified by its structure. The data were analyzed by taking samples of each type of prepositional phrase function within a sentence. The data were then described in more detail on the internal structure of prepositional phrases supported by the X-bar chart. The results of this study showed that the minimal structure of a PP is a preposition and complement. The internal structure of Indonesian PP found in the data source is formed by a core in the form of preposition and followed by complements and specifiers. Based on the categorical pattern of fillers of prepositional phrases, prepositions di-, ke- and dari- become the core of the phrase. The use of the prepositional phrase di- in the short story "Hyang Ibu" serves to state the setting or place of its existence and medium. The phrase preposition ke- serves to express the direction (setting of place) or purpose. Then the prepositional phrase dari- function is to state the background or place of origin also the comparison meaning.

"I am not a junkie": Social categorization and differentiation among people who use drugs.

Substance use stigma is a form of group-based exclusion, and delineating pathways from stigma to poor health requires a deeper understanding of the social dynamics of people who use drugs (PWUD). Outside of recovery, scant research has examined the role of social identity in addiction. Framed by Social Identity Theory/Self-Categorization Theory, this qualitative study investigated strategies of within-group categorization and differentiation among PWUD and the roles these social categories may play in shaping intragroup attitudes, perceptions, and behaviors. Data come from the Rural Opioid Initiative, a multi-site study of the overdose epidemic in rural United States. We conducted in-depth interviews with people who reported using opioids or injecting any drug (n=355) living in 65 counties across 10 states. Interviews focused on participants' biographical histories, past and current drug use, risk behaviors, and experiences with healthcare providers and law enforcement. Social categories and dimensions along which categories were evaluated were inductively identified using reflexive thematic analysis. We identified seven social categories that were commonly appraised by participants along eight evaluative dimensions. Categories included drug of choice, route of administration, method of attainment, gender, age, genesis of use, and recovery approach. Categories were evaluated by participants based on ascribed characteristics of morality, destructiveness, aversiveness, control, functionality, victimhood, recklessness, and determination. Participants performed nuanced identity work during interviews, including reifying social categories, defining 'addict' prototypicality, reflexively comparing self to other, and disidentifying from the PWUD supra-category. We identify several facets of identity, both behavioral and demographic, along which people who use drugs perceive salient social boundaries. Beyond an addiction-recovery binary, identity is shaped by multiple aspects of the social self in substance use. Patterns of categorization and differentiation revealed negative intragroup attitudes, including stigma, that may hinder solidary-building and collective action in this marginalized group.

Integration of fundamental frequency and voice-onset-time to voicing categorization: Listeners with normal hearing and bimodal hearing configurations.

This study investigates the integration of word-initial fundamental frequency (F0) and voice-onset-time (VOT) in stop voicing categorization for adult listeners with normal hearing (NH) and unilateral cochlear implant (CI) recipients utilizing a bimodal hearing configuration [CI + contralateral hearing aid (HA)]. Categorization was assessed for ten adults with NH and ten adult bimodal listeners, using synthesized consonant stimuli interpolating between /ba/ and /pa/ exemplars with five-step VOT and F0 conditions. All participants demonstrated the expected categorization pattern by reporting /ba/ for shorter VOTs and /pa/ for longer VOTs, with NH listeners showing more use of VOT as a voicing cue than CI listeners in general. When VOT becomes ambiguous between voiced and voiceless stops, NH users make more use of F0 as a cue to voicing than CI listeners, and CI listeners showed greater utilization of initial F0 during voicing identification in their bimodal (CI + HA) condition than in the CI-alone condition. The results demonstrate the adjunctive benefit of acoustic hearing from the non-implanted ear for listening conditions involving spectrotemporally complex stimuli. This finding may lead to the development of a clinically feasible perceptual weighting task that could inform clinicians about bimodal efficacy and the risk-benefit profile associated with bilateral CI recommendation.

Social Support in a Diabetes Online Community: Mixed Methods Content Analysis

Patients with diabetes may experience different needs according to their diabetes stage. These needs may be met via online health communities in which individuals seek health-related information and exchange different types of social support. Understanding the social support categories that may be more important for different diabetes stages may help diabetes online communities (DOCs) provide more tailored support to web-based users. This study aimed to explore and quantify the categorical patterns of social support observed in a DOC, taking into consideration users' different diabetes stages, including prediabetes, type 2 diabetes (T2D), T2D with insulin treatment, and T2D remission. Data were collected from one of the largest DOCs in Europe: Diabetes.co.uk. Drawing on a mixed methods content analysis, a qualitative content analysis was conducted to explore what social support categories could be identified in users' posts. A total of 1841 posts were coded by 5 human annotators according to a modified version of the Social Support Behavior Code, including 7 different social support categories: achievement, congratulations, network support, seeking emotional support, seeking informational support, providing emotional support, and providing informational support. Subsequently, quantitative content analysis was conducted using chi-square post hoc analysis to compare the most prominent social support categories across different stages of diabetes. Seeking informational support (605/1841, 32.86%) and providing informational support (597/1841, 32.42%) were the most frequent categories exchanged among users. The overall distribution of social support categories was significantly different across the diabetes stages (χ218=287.2; P<.001). Users with prediabetes sought more informational support than those in other stages (P<.001), whereas there were no significant differences in categories posted by users with T2D (P>.001). Users with T2D under insulin treatment provided more informational and emotional support (P<.001), and users with T2D in remission exchanged more achievement (P<.001) and network support (P<.001) than those in other stages. This is the first study to highlight what, how, and when different types of social support may be beneficial at different stages of diabetes. Multiple stakeholders may benefit from these findings that may provide novel insights into how these categories can be strategically used and leveraged to support diabetes management.

Mawad al-Aqyisah dalam Karya Abkar al-Afkar oleh al-Amidi: Analisis dan Terjemahan

The study of mawad al-aqyisah in logic gained attention after it was brought into the tradition of Islamic knowledge. It includes part of Ibn Sina’s epistemological discourse through his work, al-Isharat wa al-Tanbihat and al-Ghazali through some of his logical works such as Maqasid al-Falasifah, Mi‘yar al-‘Ilm and others. As a Muslim scholar of the sixth century AH, al-Amidi, who emerged after Ibn Sina and al-Ghazali, also discussed the topic through his own preparation and perspective. This study focuses on the analysis of the mawad al-aqyisah debate put forward by al-Amidi, as well as its comparison with the debates of previous logicians such as Ibn Sina and al-Ghazali. This article also explains the importance of the mawad al-aqyisah debate in logic and its categorization pattern. This study uses a content analysis method based on his work Abkar al-Afkar and aims to highlight al-Amidi’s thinking in this debate. This study concludes that al-Amidi has injected some new ideas into the topic of mawad al-aqyisah in a way of categorization and classification different from previous figures. The contribution of his thinking is also able to expand the scope and application of mawad al-aqyisah in the structure of Islamic epistemology, where it plays an important role in helping a person achieve definite knowledge and launch the process of filtering facts and information.

A cross-cultural study of language and cognition: Numeral classifiers and solid object categorization.

One of the central issues in cognition is identifying universal and culturally specific patterns of thought. In this study, we examined how one aspect of culture, a linguisticpart of speech known asclassifiers, are related to categorization of solid objects. In Experiment 1, we used a numeral classifier elicitation task to examine the classifiers used by speakers of Hmong, Japanese, and Mandarin Chinese (N = 34) with 135 nouns that referred to solid objects. In Experiment 2, adult speakers of English, Japanese, Mandarin Chinese, and Hmong (N = 64) rated the similarity of 39 pictured objects that depicted a subset of the nouns. All groups classified the objects into natural kinds and artifacts, with the category of humans anchoring both divisions. The main difference that emerged from the study was that speakers of Japanese and English rated humans and animals as more similar to each other than Hmong speakers; Mandarin speakers' ratings of the similarity between humans and animals fell in between those of Hmong and English speakers. However, the pattern of categorization of humans and animals found among speakers of the classifier languages contradicted their patterns of classifier use. The findings help to tease apart the effects of language from other cultural factors that impact cognition.

Landscapes and Games

Landscape can be divided (referring to the three worlds theory of Karl Popper) into three levels: As a part of a material world, which becomes landscape 1 through the fact that elements of this world are synthesized within the consciousness. Morevoer, this landscape within the consciousness receives input from the social patterns of interpretation, evaluation and categorization to landscape (landscape 3). ‘Play’ and ‘game’ also have the function of communicating the contents of landscape 3 to landscape 2, but ‘game’ also opens up the possibility of making and communicating contingent landscape experiences. The development of virtual as well as augmented worlds includes an extension of providing a contingent experience. However, especially the design of games in the virtual world restricts contingencies by resorting to social, cultural and landscape stereotypes, as the example of the computer game ‘Civilization’ illustrates. The paper shows potentials of an intensified scientific engagement with VR and AR for the in dividual and social construction of landscape.

Classifying and quantifying individual differences in phonetic categorization patterns

A key component to speech perception is the accurate categorization of phonemes, which is classically measured by labeling functions in forced-choice tasks. The common assumption is that poor categorization drifts toward chance performance at 50%. However, the current study shows that individuals cluster in distinct patterns that diverge from that assumption. In an experiment where listeners categorized phonemes whose frequency spectra were acutely or gradually shifted upwards (reminiscent of cochlear implants), some listeners were better able to maintain distinct perceptual phonetic categories despite increasing amounts of frequency mismatch, while others could recalibrate their perception commensurate with the shift, up to a certain point before categorization ultimately broke down in a variety of ways. This study highlights the importance of classifying categorization patterns at the individual level, rather than averaging across groups, and invites reconsideration of how to quantify and interpret overlooked behavioral response patterns that signify when and how phonetic categorization breaks down. This study emphasizes provides novel ways to mathematically analyze qualitatively unique signatures of categorization breakdown (asymmetry, bias, all-or-none judgments, etc.) that are potentially ripe for studying individual differences in strategy and capacity for overcoming specific challenges relating to hearing or adaptation to acoustic degradation.

Comparison of Different Lymph Node Staging Schemes for Predicting Survival Outcomes in Node-Positive Endometrioid Endometrial Cancer Patients.

Objective: To compare the prognostic predictive performance of six lymph node (LN) staging schemes: American Joint Committee on Cancer (AJCC) N stage, number of retrieved lymph nodes (NRLN), number of positive lymph nodes (NPLN), number of negative lymph nodes (NNLN), lymph node ratio (LNR), and log odds of positive lymph nodes (LODDS) among node-positive endometrioid endometrial cancer (EEC) patients.Methods: A total of 3,533 patients diagnosed with node-positive EEC between 2010 and 2016 from the Surveillance, Epidemiology, and End Results (SEER) database were retrospectively analyzed. We applied X-tile software to identify the optimal cutoff value for different staging schemes. Univariate and multivariate Cox regression models were used to assess the relationships between different LN schemes and survival outcomes [disease-specific survival (DSS) and overall survival (OS)]. Moreover, Akaike information criterion (AIC) and Harrell concordance index (C-index) were used to evaluate the predictive performance of each scheme in both continuous and categorical patterns.Results: N stage (N1/N2) was not an independent prognostic factor for node-positive EEC patients based on multivariate analysis (DSS: p = 0.235; OS: p = 0.145). Multivariate model incorporating LNR demonstrated the most superior goodness of fit regardless of continuous or categorical pattern. Regarding discrimination power of the models, LNR outperformed other models in categorical pattern (OS: C-index = 0.735; DSS: C-index = 0.737); however, LODDS obtained the highest C-index in continuous pattern (OS: 0.736; DSS: 0.739).Conclusions: N stage (N1/N2) was unable to differentiate the prognosis for node-positive EEC patients in our study. However, LNR and LODDS schemes seemed to have a better predictive performance for these patients than other number-based LN schemes whether in DSS or OS, which revealed that LNR and LODDS should be more helpful in prognosis assessment for node-positive EEC patients than AJCC N stage.

Mimicking Complexity of Structured Data Matrix's Information Content: Categorical Exploratory Data Analysis.

We develop Categorical Exploratory Data Analysis (CEDA) with mimicking to explore and exhibit the complexity of information content that is contained within any data matrix: categorical, discrete, or continuous. Such complexity is shown through visible and explainable serial multiscale structural dependency with heterogeneity. CEDA is developed upon all features’ categorical nature via histogram and it is guided by all features’ associative patterns (order-2 dependence) in a mutual conditional entropy matrix. Higher-order structural dependency of features is exhibited through block patterns within heatmaps that are constructed by permuting contingency-kD-lattices of counts. By growing k, the resultant heatmap series contains global and large scales of structural dependency that constitute the data matrix’s information content. When involving continuous features, the principal component analysis (PCA) extracts fine-scale information content from each block in the final heatmap. Our mimicking protocol coherently simulates this heatmap series by preserving global-to-fine scales structural dependency. Upon every step of mimicking process, each accepted simulated heatmap is subject to constraints with respect to all of the reliable observed categorical patterns. For reliability and robustness in sciences, CEDA with mimicking enhances data visualization by revealing deterministic and stochastic structures within each scale-specific structural dependency. For inferences in Machine Learning (ML) and Statistics, it clarifies, upon which scales, which covariate feature-groups have major-vs.-minor predictive powers on response features. For the social justice of Artificial Intelligence (AI) products, it checks whether a data matrix incompletely prescribes the targeted system.