Segmental Units Research Articles

가능세계의 양상 논리 시스템을 활용한 전설 서사 분석 모델 연구

This study develops a new analysis methodology for legendary narratives based on the possible world theory. As part of this, it develops a narrative analysis model. Unlike “traditional narratology,” possible world theory enables new and diverse approaches related to narrative by establishing various worlds created through stories, and it allows the establishment of related hypotheses and theories. Particularly, it provides a methodology for a new understanding of narratives that are difficult to establish in literature or history, such as legendary narratives.
 Legends are often regarded as fictional narratives that have a certain degree of historicity with temporal and spatial limitations and evidence but are differentiated from history. However, according to White, history is also a fictional narrative that creates a specific world by constructing a plot and indicates a specific ideology or meaning. Finally, historical narratives are simply narratives related to the history of actual events, whereas legendary narratives are non-historical narratives about a world believed to have existed. By breaking away from the conventional perspective of mimesis and assuming various possible worlds, we can plan a new methodology for narrative research by examining the worlds presented by narratives.
 In this discussion, a model for analyzing legend narratives was presented using Doležel's modal logic system. The alethic, deontic, axiological, and epistemic plots were established as segmented units and analysis items that operate in the story world. The modes of each stage of the narrative were analyzed and connected to create meaning in the form of a single sentence. This analysis model was applied to Song Si-yeol legends handed down in the Goesan region to analyze the composition principles of the narrative text and the meaning of the narrative. By applying the secondary narrative analysis model using a modal logic system, it is possible to examine the semantics of the story world within a systematic framework, rather than simply finding the primary indicative meaning or subjective and abstract commentary of the legendary narratives.

Segmentation of toddler nutritional status using REBUS and FIMIX partial least square in Southeast Sulawesi

Nutrition is one of the important factors that play a major role in the growth and development of children so that they can develop optimally. Child malnutrition, such as stunting, underweight, and wasting, is a significant problem in Indonesia. The World Health Organization (WHO) determined that the nutritional status of children under five in Indonesia is in the chronic category, one of which is in Southeast Sulawesi Province. This study examines and analyzes the factors that influence the nutritional status of children under five in Southeast Sulawesi using the Partial Least Square Structural Equation Modeling (SEM-PLS) method and then segments the nutritional status of children under five using Response Based Unit Segmentation Modeling in Partial Least Square (REBUS-PLS) and Finite Mixture Partial Least Square (FIMIX-PLS). The number of observations in this study was 216 sub-districts. From the results of the SEM-PLS analysis conducted, it was concluded that the 10 indicators used were valid and significant in describing the latent variables, and the practice factor variable had an effect on the food factor variable, the food factor variable had an effect on the service factor variable, and the service factor variable had an effect on the under-five nutritional status variable. The REBUS-PLS analysis results in two segments, with one segment of 75 observations and the other segment of 141 observations. The same conclusion is obtained as in the SEM-PLS analysis, but the results of the analysis with REBUS-PLS have a greater value than the results of the SEM-PLS analysis. Key points of the article:1.Comparing REBUS-PLS and FIMIX-PLS methods for overcoming the case of heterogeneity in dat.2.Combining the SEM-PLS method with the REBUS and FIMIX methods in discussing the factors that influence the nutritional status of children under five in Southeast Sulawesi.

3D Printed Tubulointerstitium Chip as an In Vitro Testing Platform.

Chronic kidney disease (CKD) ranks as the twelfth leading cause of death worldwide with limited treatment options. The development of in vitro models replicating defined segments of the kidney functional units, the nephrons, in a physiologically relevant and reproducible manner can facilitate drug testing. The aim of this study was to produce an in vitro organ-on-a-chip platform with extrusion-based three-dimensional (3D)printing. The manufacturing of the tubular platform was produced by printing sacrificial fibers with varying diameters, providing a suitable structure for cell adhesion and proliferation. The chip platform was seeded with primary murine tubular epithelial cells and human umbilical vein endothelial cells. The effect of channel geometry, its reproducibility, coatings for cell adhesion, and specific cell markers were investigated. The developed chip presents single and dual channels, mimicking segments of a renal tubule and the capillary network, together with an extracellular matrix gel analogue placed in the middle of the two channels, envisioning the renal tubulointerstitium in vitro. The 3D printed platform enables perfusable circular cross-section channels with fully automated, rapid, and reproducible manufacturing processes at low costs. This kidney tubulointerstitium on-a-chip provides the first step toward the production of more complex in vitro models for drug testing.

PHONETIC TYPOLOGY

In spite of many works in the field of phonetics some problems of typology still want systematisation both on segmental and suprasegmental levels. Experimental research is one of them. The research is aimed at determining phonetic typologi- cal characteristics in English and Ukrainian on segmental and suprasegmental levels. The results of the research demonstrate the significant amount of typo- logically similar characteristics in English and Ukrainian. The presence of fore lingual and back lingual vowels, plosives, fricatives, voiced and voiceless conso- nants, such phenomena as reduction and assimilation in both languages under investigation testify to it. Similar mechanisms of word stress production that is the total energy data (dynamic characteristics and duration time) is another mark of typological similarity of English and Ukrainian. The intonation models, the degree of stability of intonation models, sentence stress variability, the same functions of intonation in the process of speech produc- tion show similar mechanisms of prosody elements’ interaction. The most stable in both languages are the prosodic models of attitudinal and emotional functions of intonation. The status of different functions (the attitudinal function, sense-group delimitation, sense-groups relation, communicative type of utterances, sentence stress) of intonation changes from the subordinate one (as in the function of di- vision into sense groups) up to the dominating one (as in the function reflect- ing the speaker’s emotional state). In correspondence with this status and the poly-functional character of intonation the resulting intonation contour mainly preserves the relevant prosodic features of the dominating intonation function in English and Ukrainian. The qualitative and quantitative differences of segmental (phonematic length of vowels in English, phonemic length of consonants in Ukrainian, some difference in articulation) and suprasegmental units (variety of melody contour structure, prevalence of dynamic characteristics in English and temporal in Ukrainian) in the languages under investigation are explained by linguacultural peculiarities of the communities, their historical development

Pellet image segmentation model of superpixel feature-based support vector machine in digital twin

A digital twin model based on superpixel features is established to solve the problem of noise and similar gray values between foreground and background of pellet images. With superpixel as the basic unit of segmentation, the influence of single pixel on segmentation results is reduced, and allows for higher segmentation accuracy. The gray-level co-occurrence matrix is used to represent the superpixel characteristic information, and the color moment and gray level distribution are combined to comprehensively characterize the superpixel. Through principal component analysis and correlation analysis, The feature compression of superpixel is realized, and the computational efficiency is improved. The superpixel binary classification data set is built, and the multi-dimensional feature information of superpixel is extracted as input vector to train the binary classification model of SVM, and the image segmentation problem is transformed into foreground and background classification problem. A multi-scale superpixel segmentation boundary optimization method is proposed to further refine the boundary region of foreground and background. A four-neighborhood search algorithm is proposed to reduce the missegmentation rate of edge superpixels. Experimental results show that the accuracy of the proposed method can reach 95.87%, the precision of image edge segmentation is high, and the foreground and background of granular image are accurately segmented. The digital twin model is established which can provide basis for the subsequent visual analysis and decision.

Prediction of binary mutual solubility via liquid-liquid interfacial tension

The solubility property is of interest to chemical, physical, pharmaceutical, material and environmental sciences. It is a fascinating task to understand the intrinsic reason underlying the solubility behavior. The theoretical relation between binary mutual solubility and liquid-liquid interfacial tension was derived, in which the partitioning of solute molecules between two coexisting liquid phases is determined by the transfer free energy per unit segment for a chain-like solute molecule expressed in terms of solute-solvent interfacial tension. This general theory of solubility is in good accord with experiment for binary mutual solubility and molar transfer free energy of solute molecules.

Synthesis of hydrogen-bond-enriched, fluorescent and triboelectric hyperbranched polymers via Michael addition reaction

It is very meaningful to realize color recognition and mechanical-electrical energy conversion in one material simultaneously, which is very essential in improving the equipment of border guards. However, simultaneously endowing one material with color regonition and mechanical-electrical energy conversion presents challenges because they result from different mechanism. Herein, a series of hyperbranched polymers, HP9, HP10, and HP11, were synthesized via the Michael addition reaction to solve the dilemma. Extensive hydrogen bonding was embedded into these hyperbranched polymers, so that the polymers exhibit good triboelectrification ability. The voltage output is about 347 V, the current output is about 2.8 μA, and the charge quantity is about 150 nC, respectively. Moreover, the polymers display excellent fluorescence under 365 nm ultraviolet light based on the mechanism of aggregation-induced emission (AIE). Furthermore, the thermodynamic behavior and mechanical properties of the hyperbranched polymers can be regulated by adjusting the content of the hard segments. The Young's modulus and strength gradually increase with the increase of the hard segment unit. The Young’s modulus, strength and toughness of HP10 are 3.72 MPa, 2.69 MPa and 19.55 MJ/m3, respectively. The combination of fluorescence and frictional electrification will have great application potential in the equipment of border guards.

SUPRASEGMENTAL PHONOLOGICAL UNITS IN LINGUODIDACTIC TRAINING OF FUTURE UKRAINIAN LANGUAGE AND LITERATURE TEACHERS

This publication examines linguistic and linguodidactic sources on the study and mastery of suprasegmental phonetic units, including stress, intonation, pauses, and prosody. The research is conducted using methods of analysis, synthesis, and comparison. The acoustic, perceptual, and functional characteristics of these suprasegmental features are explored. It is revealed that in the field of linguodidactics, the information regarding suprasegmental phonetic elements is often simplified, with limited consideration given to the theoretical and methodological foundations of prosody and intonation. Furthermore, the connection between these suprasegmental features and the accentual subsystem of phonetics is not consistently traced.The content of the case study titled “Suprasegmental Phonetic Units in the Methodological System of Teaching Phonetics to Future Ukrainian Literature Teachers” has been developed and made open for discussion, critical analysis, and enhancement within the interactive technology of the “Linguodidactic Studio”. The content of the case study aims at facilitating a comprehensive understanding of the linguistic material concerning the suprasegmental level of language, which represents both prosody and intonation and is viewed differently by researchers. The linguistic units at this level include accentemes, prosodemes, and intonemes. It has been observed that in spoken language, accentemes correlate with stress, while prosodemes and intonemes correlate with stress, tempo, timbre, rhythm, tone, melody, loudness, and pauses. Considering this, the case study includes research on the interconnectedness of the accentual system of the Ukrainian language with intonation and prosody, as well as the influence of stress on the functioning of a combination of prosodic and intonational components that overlay segmental phonetic units such as sounds, syllables, consonant clusters, rhythmic structures, phrases, and sentences. Through an analysis of the locational sphere of intonation (phrase segments) and prosody (all speech segments, from syllables to text), their relationship has been clarified. It is argued that suprasegmental units in linguodidactics can be studied within the structure of the accentological sub-level.
 Keywords: Suprasegmental Units of Phonetics; Stress; Prosody; Intonation; Accentological Sublevel; Teacher-Wordist; Linguistic Case; “Linguodidactic Studies”.

Methodology for Activity Unit Segmentation of Design 3D Models Using PointNet Deep Learning Technique

This paper discusses the challenge of using 3D models created during the design stage in the construction stage due to the need for segmentation or remodeling to incorporate activity concepts. To address this challenge, the paper proposes a methodology that uses the PointNet deep learning technique to automatically classify and segment design model elements into activity units for the construction stage while preserving attribute information. The authors introduce a module that utilize the bounding box concept to simplify the segmentation process after importing the 3D model into the 4D system used in the construction stage. This eliminates the need for separate CAD software and allows for direct segmentation into activity units within the 4D system and simultaneous simulation. The proposed methodology was applied to two real bridge projects and demonstrated increased 3D model reusability in the construction stage. The paper concludes that this approach can improve the usability of 3D models for construction projects.

Universal convex covering problems under translations and discrete rotations

Abstract We consider the smallest-area universal covering of planar objects of perimeter 2 (or equivalently, closed curves of length 2) allowing translations and discrete rotations. In particular, we show that the solution is an equilateral triangle of height 1 when translations and discrete rotations of π are allowed. We also give convex coverings of closed curves of length 2 under translations and discrete rotations of multiples of π/2 and of 2π/3. We show that no proper closed subset of that covering is a covering for discrete rotations of multiples of π/2, which is an equilateral triangle of height smaller than 1, and conjecture that such a covering is the smallest-area convex covering. Finally, we give the smallest-area convex coverings of all unit segments under translations and discrete rotations of 2π/k for all integers k=3.

Insights into Entropy Change of β2 Relaxation in Retraction of Uniaxially Stretched Polyimide Films

AbstractStretching has been extensively applied for decades in the production of polyimide (PI) materials with improved mechanical, electrical, and thermal properties. Meanwhile, a detailed understanding of the molecular motions during stretching is still limited. Herein, the thermomechanical behaviors of uniaxially stretched PI films prepared from 3,3′,4,4′‐biphenyl tetracarboxylic dianhydride (BPDA) and 2,2′‐bis (trifluoromethyl) benzidine (TFDB) are studied, and the possible molecular motions responsible for the sub‐glass transition temperature (Tg) stretchability and retraction after stretching are systematically investigated. Based on X‐ray diffraction and dynamic mechanical analysis, it is revealed that both the sub‐Tg stretchability and retraction correlates with β2 relaxation, which originates from the highly cooperative molecular motions of conformational rotations involving segmented BPDA units. A thermodynamic model is established and applied for the analysis of the retraction behaviors of stretched BPDA‐TFDB PI films. It is found that the increase of entropy under stretching plays a significant role in most retraction cases. However, as the stretching temperature increases, the α relaxation‐correlated large‐scale molecular motions emerge. Such motions partially counterbalance the conformational rotations of BPDA segments, leading to an enhanced contribution of enthalpy decrease during the retraction of BPDA‐TFDB PI films.

The Re-danweilization of SU University During the COVID- 19 Pandemic

During the COVID-19 pandemic, China restored the management strategy of linking societal administration with spatial territory to prevent and control the spread of the pandemic. This study focuses on the most basic spatial unit of urban segmentation, the danwei, which was first established during the planned economy period. Analyzing SU University as a case study, we examine the background, methods, and process of re-danweilization in China during the COVID-19 pandemic; we evaluate the impact of its reactivation on the overall society and explore whether possible adjustments could be made to improve the effectiveness of the danwei system while preserving urbanism.

Tetraphenylethene modified diphenylsulfone derivatives exhibiting a highly twisted conformation, aggregation-induced emission enhancement and mechanochromic luminescence

Two AIEE-active luminophores TPE-DPS-H and TPE-DPS-F, which are constructed by tetraphenylethene unit as electron donor and diphenylsulfone segment as electron acceptor, are prepared using the classical Heck coupling reaction. Through the combination of tetraphenylethene unit and diphenylsulfone segment, both of them possess highly distorted molecular conformation and AIEE (aggregation-induced emission enhancement) characteristics. The emission efficiencies of TPE-DPS-H and TPE-DPS-F in the solid state reach 35.86% and 32.74%, respectively. Interestingly, both TPE-DPS-H and TPE-DPS-F show fluorescent response to mechanical force. Among them, TPE-DPS-H displays reversible and high-contrast mechanochromic luminescence. The emitting color of TPE-DPS-H in the solid state changes from bright cyan to green after grinding with a wavelength shift of 32 nm. XRD and DSC experiments indicate that the phase conversion from well-ordered crystalline state to confused amorphous state is responsible for mechanochromic luminescent performances of TPE-DPS-H and TPE-DPS-F.

Penggunaan Metode Pavement Condition Index (PCI) dan Present Serviceability Index (PSI) dalam Penilaian Kerusakan Jalan di Kota Palu (Studi Kasus : Jalan Karanja Lembah, Kota Palu)

Street of Karanja Lembah is a provincial road linking Palu City and Sigi Regency. After a visual survey, the road has suffered a lot of damage, especially on its surface. The purpose of this study was to determine the pavement condition values based on the Pavement Condition Index (PCI) method and the Present Serviceability Index (PSI) method, as well as to determine the type of road handling based on the PCI and PSI values obtained on these roads. The PCI method is carried out directly by dividing the road into several segments called segment units, then recording the type of damage, the dimensions of the damage, and the severity of the damage for each type of damage. In research using the PSI method, the PSI value was calculated using IRI (International Roughness Index) data obtained from the Highways Service of Central Sulawesi Province. From the results of the analysis, it was obtained that the average PCI value for Jalan Karaja Lembah was 79.95% with a "very good" pavement condition, while the average PSI value for Jalan Karaja Lembah was 2.13% with a pavement condition "moderate". For the right type of handling for the PSI and PCI methods, namely the type of periodic maintenance.

Co-Self-seeding: A facile approach to generate heterogeneous π-Conjugated Fiber-Like comicelles with tunable Length, composition and morphology

Co-self-seeding approach of living crystallization-driven self-assembly (CDSA) enables the generation of fiber-like micelles with a π-conjugated core of tunable length/composition/ morphology with appealing photophysical and photochemical properties. However, our understanding on the co-self-seeding strategy in the preparation of fiber-like comicelles containing a heterogeneous π-conjugated core is limited owing to very rare reports associated to this recently emerging strategy. Herein, we report that polydisperse comicelles containing a heterogeneous OPE9/OPV5 (OPE = oligo(p-phenylene ethynylene), OPV = oligo(p-phenylene vinylene), the subscripts indicate the exact number of repeat unit of OPE and OPV segments) core can be formed from the mixture of OPE9-b-P2VP56 and OPV5-b-PNIPAM47 (P2VP = poly(2-vinylpyridine), PNIPAM = poly(N-isopropylacrylamide), the subscripts denote the degree of polymerization) with different mass ratios of OPE9-b-P2VP56 to OPV5-b-PNIPAM47 (MOPE9/MOPV5) by crystallization-driven co-self-assembly via heating/cooling protocol. Subsequently, by co-self-seeding from the seed comicelles obtained by the fragmentation of as-prepared polydisperse comicelles, apparent continuous (gradient) and segmented (block) fiber-like comicelles containing a heterogeneous OPE9/OPV5 core of controlled length/composition/morphology can be generated with varying annealing temperature and MOPE9/MOPV5. Co-self-seeding from pairs of separated seed micelles of OPE9-b-P2VP56 and OPV5-b-PNIPAM47 with different MOPE9/MOPV5 also can give apparently continuous and segmented fiber-like comicelles containing a heterogeneous OPE9/OPV5 core. These two co-self-seeding approaches have some common and different characteristics. It is found that for these samples with the MOPE9/MOPV5 = 1/1 and 2/1, the Ln of comicelles obtained from seed comicelles showed much sharper increase with the increase of temperature relative to the Ln of comicelles generated from mixed seed micelles as the temperatures were above 70 °C. On the contrary, for the MOPE9/MOPV5 = 5/1, both sets of samples showed very similar trend of dependence of Ln of resulting comicelles on the annealing temperature. These results revealed that both packing modes and mass ratios (MOPE9/MOPV5) of seed (co)micelles affected the co-self-seeding behavior.

Hierarchical Clause Annotation: Building a Clause-Level Corpus for Semantic Parsing with Complex Sentences

Most natural-language-processing (NLP) tasks suffer performance degradation when encountering long complex sentences, such as semantic parsing, syntactic parsing, machine translation, and text summarization. Previous works addressed the issue with the intuition of decomposing complex sentences and linking simple ones, such as rhetorical-structure-theory (RST)-style discourse parsing, split-and-rephrase (SPRP), text simplification (TS), simple sentence decomposition (SSD), etc. However, these works are not applicable for semantic parsing such as abstract meaning representation (AMR) parsing and semantic dependency parsing due to misalignments with semantic relations and unavailabilities to preserve the original semantics. Following the same intuition and avoiding the deficiencies of previous works, we propose a novel framework, hierarchical clause annotation (HCA), for capturing clausal structures of complex sentences, based on the linguistic research of clause hierarchy. With the HCA framework, we annotated a large HCA corpus to explore the potentialities of integrating HCA structural features into semantic parsing with complex sentences. Moreover, we decomposed HCA into two subtasks, i.e., clause segmentation and clause parsing, and provide neural baseline models for more-silver annotations. In evaluating the proposed models on our manually annotated HCA dataset, the performances of clause segmentation and parsing resulted in 91.3% F1-scores and 88.5% Parseval scores, respectively. Due to the same model architectures employed, the performance differences of the clause/discourse segmentation and parsing subtasks was reflected in our HCA corpus and compared discourse corpora, where our sentences contained more segment units and fewer interrelations than those in the compared corpora.

Multi-stage Unet segmentation and automatic measurement of pharyngeal airway based on lateral cephalograms

ObjectivesOrthodontic treatment profoundly impact the pharyngeal airway (PA) of patients. Airway examination is an integral part of daily orthodontic diagnosis, and lateral cephalograms (LC) are reliable to reveal PA structures. This study attempted to develop a simple method to help clinicians make a preliminary judgement of patients' PA conditions and assess the impact of orthodontic treatment on their airways. MethodsLCs of 764 patients were used to train a multistage unit segmentation model. Another 130 images were used to validate the model and more 130 images were used to test the model. ResultsUnet was used as the backbone, with a mean dice value of 0.8180, precision of 0.8393, and recall of 0.8188. Furthermore, we identified seven key points and measured related indices. The length of the line separating the nasopharynx and oropharynx and the line separating the oropharynx and hypopharynx were manually measured thrice and the average values was compared. The intraclass correlation coefficient (ICC) for the two lines was 0.599 and 0.855. Then, we performed a single linear regression analysis, which indicated a strong correlation between the predictions and measurements for the two lines. ConclusionsThis method is reliable for segmenting three regions (nasopharynx, oropharynx, and hypopharynx) of the PA and calculating related indices. However, the predictions obtained from this model still have errors, and it is necessary for clinical practitioners to assess and adjust the predictions. Clinical significanceOur model can help orthodontists formulate personalised treatment plans and evaluate the risk of airway stenosis during orthodontic treatment. This method may mark the beginning of a new and simpler approach for PA obstruction detection, specifically tailored to orthodontic patients.

Multi-Loss U-Net Reformulation as an Efficient Solution to the Colony-Forming Unit Counting Problem.

U-Net is undoubtedly the most cited and popularized deep learning architecture in the biomedical domain. Starting with image, volume, or video segmentation in numerous practical applications, such as digital pathology, and continuing to Colony-Forming Unit (CFU) segmentation, new emerging areas require an additional U-Net reformulation to solve some inherent inefficiencies of a simple segmentation-tailored loss function, such as the Dice Similarity Coefficient, being applied at the training step. One of such areas is segmentation-driven CFU counting, where after receiving a segmentation output map one should count all distinct segmented regions belonging to different detected microbial colonies. This problem can be a challenging endeavor, as a pure segmentation objective tends to produce many irrelevant artifacts or flipped pixels. Our novel multi-loss U-Net reformulation proposes an efficient solution to the aforementioned problem. It introduces an additional loss term at the bottom-most U-Net level, which focuses on providing an auxiliary signal of where to look for distinct CFUs. In general, our experiments show that all probed multi-loss U-Net architectures consistently outperform their single-loss counterparts, which embark on the Dice Similarity Coefficient and Cross-Entropy training losses alone.

SYLLABIC PATTERNS IN THE LIGHT OF STATISTICAL ANALYSIS (BASED ON THE MATERIAL OF ENGLISH AND AZERBAIJANI LANGUAGES)

The attempt to describe phonemes and phoneme systems is one of the main features of modern linguistics. The study of the combinatorics of phonemes is very actual in phonology, because the description and comparison of the results of languages that are not only related but also differ significantly according to their typological characteristics, is one of the main issues that syntagmatic phonology is facing today. Phonemes in each language combine in syntagmatic relationships according to intra-linguistic laws and form the basis of its phonological system. By studying the sequence of phonemes in the act of speaking, it is possible to determine certain regularities that constitute the essence of combinatorics of segment units. This study is dedicated to revealing the main syllable patterns in the English and Azerbaijani languages and determining the principles of syllable formation in speech. The paper states that syllabic patterns are universal and common to all languages. It is also noted that the syllable is one of the most mysterious and complex phenomena in the sound system of the language. As a result of the statistical analysis, general and specific syllable models were found in the compared languages. Besides, with the help of statistical analysis, quantitative indicators reflecting the frequency of development of syllabic models in the compared languages were obtained.

Metode Response Based Unit Segmentation Partial Least Square pada Model Partial Least Square Path Modeling

Education is an important factor that can affect the development of a country and is a basic human need. To ensure the continuous progress of education, it is necessary to pay attention to the results and achievements of education in Indonesia. In this research model, Partial Least Square Path Modeling (PLS PM) is used to explain the relationship between education outcomes and achievements and the quality dimensions of provincial education in Indonesia. However, because there is heterogeneity in the population unit, the Response Based Unit Segmentation Partial Least Square (REBUS PLS) algorithm is used to overcome the alleged heterogeneity. The results showed that there were 20 influential indicators in the structural model, with the influential paths being student activities to participation, educational facilities and infrastructure to educational outcomes and achievements, student activities to educational outcomes and achievements, and participation to educational outcomes and achievements. REBUS PLS successfully detects heterogeneity and produces two segments, with the value of R2 on the local model greater than the value of R2 on the global model and the GoF value in the GoF large category.