Valid Reference Research Articles

Similarity conditions and cube model tests of snow drift and precipitation preferential deposition patterns

We explore the process of modeling aeolian snow transport around buildings by proposing a set of similarity requirements on simulating a single snow fall event with drifting. The similarity criteria are used to guide our wind tunnel tests from the particle selection to the simulation set-up, including the determination of test wind speed, snowfall intensity and transported snow profile. In parallel, a specific field experiment on snow precipitation and drift around a 1-m prototype cube was achieved in Harbin to serve as the reference for the subsequent test validation. After reproducing a target wind and snow environment with a scale of 1:4 versus that of the prototype measurement, two verification tests were put forward using snow and substitution particles, which can mimic the effects of changing wind directions on the snow distribution. Herein, the wind tunnel and outside prototype results show good qualitative agreement in our limited range of length scales and particle properties. In future work, the range of scales and range of parameter values should be increased.

A General-Purpose Biotic Index to Measure Changes in Benthic Habitat Quality across Several Pressure Gradients

Realistic assessments of the ecological status of benthic habitats, as requested by European directives such as the Water Framework Directive and the European Marine Strategy Framework Directive, require biotic indices capable of detecting anthropogenic impact without having preliminary knowledge of the occurring pressures. In this context, a new general-purpose biotic index (GPBI) based on the deviation of benthic macrofauna community composition and structure from a valid reference (i.e., good ecological status) is proposed. GPBI is based on the assumption that as a site becomes impacted by a pressure, the most sensitive species are the first to disappear, and that stronger impacts lead to more important losses. Thus, it explicitly uses the within-species loss of individuals in the tested station in comparison to one or several reference stations as the basis of ecological status assessment. In this study, GPBI is successfully used in four case studies considering the impact of diversified pressures on benthic fauna: (1) maerl extraction in the northern Bay of Biscay, (2–3) dredging and trawling in the North Sea, and (4) hypoxic events at the seafloor in the Gullmarfjord. Our results show that GPBI was able to efficiently detect the impact of the different physical disturbances as well as that of hypoxia and that it performs better than commonly used pressure-specific indices (M-AMBI and TDI). Signal detection theory was used to propose a sound good/moderate ecological quality status boundary, and recommendations for future monitoring are also provided based on the reported performance of GPBI.

The model influence of authoritarian parenting, extraversion personality, and conformity to bullying among students

<span lang="EN-US">The purpose of this study was to analyze the model of the influence of authoritarian parenting, extraversion personality, and conformity to bullying in students. The population in this study were all students of grade eight of X, Y, Z state middle school in Yogyakarta, consisting of 524 students. The sample in this study was 185 students. The sampling technique used in this study was cluster random sampling. T<span>he data were collected with the scales which were developed for each variable studied. Data analysis was performed by testing the outer and inner models using structural equation model (SEM) through the Smart Partial Least Square 3.2.8 program. The </span>results of this study were the formation of the model of the influence of authoritarian parenting, extraversion personality, and conformity to bullying that was found to be fit with empirical data. Overall, the findings suggested that all variables under investigation (authoritarian parenting, extraversion personality, and conformity) had positive and a very significant influence on bullying. This model can be used as a valid reference in developing bullying variables.</span>

Numerical investigating of the effect material and geometrical parameters on the static behavior of sandwich plate

Studying the behavior of sandwich panels is very important due to their widespread use in different industries. Therefore, over the past decades, various theories have been proposed to study the behavior of these panels. In this paper a higher order global-local theory with 3D equilibrium-based corrections is presented to study behavior of thick and thin sandwich plate with flexible and auxetic core. In addition to correcting the results with 3D elasticity equations, another important advantage of the presented theory is the ability to consider the transverse core deformation of the sandwich panels. It should be mentioned that to study the behavior of thick sandwich panels, especially with soft core, the existence of this feature is very necessary and has a great effect on the accuracy of the obtained results. Comparison of the obtained results with those existing in valid references showed that the formulation of the provided finite element had a very good accuracy even for thick and thin sandwich plates. Finally, the effect of different material and geometrical parameters on the behavior of sandwich plates are carefully investigated using the presented theory.

Deriving reference values for nerve conduction studies from existing data using mixture model clustering

Objective: to obtain locally valid reference values (RVs) from existing nerve conduction study (NCS) data.Methods: we used age, sex, height and limb temperature-based mixture model clustering (MMC) to identify normal and abnormal measurements on NCS data from two university hospitals. We compared MMC-derived RVs to published data; examined the effect of using different variables; validated MMC-derived RVs using independent data from 26 healthy control subjects and investigated their clinical applicability for the diagnosis of polyneuropathy.Results: MMC-derived RVs were similar to published RVs. Clustering can be achieved using only sex and age as variables. MMC is likely to yield reliable results with fewer abnormal than normal measurements and when the total number of measurements is at least 300. Measurements from healthy controls fell within the 95% MMC-derived prediction interval in 97.4% of cases.Conclusions: MMC can be used to obtain RVs from existing data, providing a locally valid, accurate reflection of the (ab)normality of an NCS result.Significance: MMC can be used to generate locally valid RVs for any test for which sufficient data are available.1All code and a test dataset have been placed online (gitlab.com/lumc/clinicalneurophysiology/ReferenceValues).1

MBKD: Acceleration structure designed for moving primitives

We present a k-d tree construction algorithm designed to accelerate rendering of scenes with motion blur, in application scenarios where a k-d tree is either required or desired. Our associated data structure focuses on capturing incoherent motion within the nodes of a k-d tree and improves both data structure quality and efficiency over previous methods. At building time, we track primitives with motion that is significantly distinct from other primitives within the node, guarantee valid node references and the correctness of the data structure via primitive duplication heuristic and propagation rules. Then, we incorporate filtering heuristics to limit the propagation of primitives, and eliminate some incorrect duplicated references that may invalidate node references. We also demonstrate a strategy for updating existing MBKD for animated scenes. Our experiments with this hierarchy show artifact-free motion-blur rendering using a k-d tree, and demonstrate improvements against a traditional BVH with interpolation and a MSBVH structure designed to handle moving primitives, particularly in render time.

Potential Predictors and Survival Analysis of the Relapse of HIV-Associated Cryptococcal Meningitis: A Retrospective Study

Objective: We intend to investigate the relapse of HIV-associated cryptococcal meningitis (CM), assess potential predictors and conduct survival analysis, with a view to establishing a valid reference for the management of the relapse of CM.Method: This is a retrospective study in Chinese patients with HIV-associated CM and those who experience relapse of CM. Baseline demographic, laboratory and clinical characteristics of patients with HIV-associated CM were collected. Predictors for relapse of HIV-associated CM were analyzed using univariate and multivariate logistic regression. Survival probability in relapse cases was determined by Kaplan-Meier survival curves.Results: During the study period, 87 of 348 (25.0%) HIV patients experienced the relapse of CM. CD4+ T-cell counts, antiretroviral therapy (ART) status and the time from symptom onset to presentation were all statistically associated with the relapse of CM (p = 0.013, 0.018 and 0.042, respectively). The overall survival among 46 HIV CM relapse patients whose survival information were obtained, was 78.3%. The proportion of patients who died after antifungal treatment for CM was greater in those whose interval from symptom onset to presentation ≥4 weeks, compared with those <4 weeks (p = 0.0331).Conclusions: In order to reduce the relapse of CM and increase the survival possibility of these patients, we can promote the importance of ART before CM occurs, emphasize timely consultation when any CM-associated clinical symptoms occurs, and individualized the timing of ART initiation according to indicators which can reflect the severity of CM.

Deep Multiple Kernel Learning for Prediction of MicroRNA Precursors

MicroRNAs are a group of noncoding RNAs that are about 20–24 nucleotides in length. They are involved in the physiological processes of many diseases and regulate transcriptional and post-transcriptional gene expression. Therefore, the prediction of microRNAs is of great significance for basic biological research and disease treatment. MicroRNA precursors are the necessary stage of microRNA formation. RBF kernel support vector machines (RBF-SVMs) and shallow multiple kernel support vector machines (MK-SVMs) are often used in microRNA precursors prediction. However, the RBF-SVMs could not represent the richer sample features, and the MK-SVMs just use a simply convex combination of few base kernels. This paper proposed a localized multiple kernel learning model with a nonlinear synthetic kernel (LMKL-D). The nonlinear synthetic kernel was trained by a three-layer deep multiple kernel learning model. The LMKL-D model was tested on 2241 pre-microRNAs and 8494 pseudo hairpin sequences. The experiments showed that the LMKL-D model achieved 93.06% sensitivity, 99.27% specificity, and 98.03% accuracy on the test set. The results showed that the LMKL-D model can increase the complexity of kernels and better predict microRNA precursors. Our LMKL-D model can better predict microRNA precursors compared with the existing methods in specificity and accuracy. The LMKL-D model provides a reference for further validation of potential microRNA precursors.

A extrusion die structure with four cavities in a die of Al-alloy screen frame

The importance of extrusion die with multi-cavities in a die was introduced, and a new die structure with four cavities in a die for the frame in the screen window of Al-alloy was presented. The selection of the structure parameters for the die were described, including the selection of the machine, the arrangement of porthole and the die hole, the optimization of parameters, the design of the chamber and the bearing belt etc. The ways of optimizing these parameters were presented. The method of checking the die strength was introduced. It was shown by the results that the structure is effective and worth promoting, and the structure can greatly improve the production efficiency and reduce costs. The aim is to extend the technology and the structure, provide reliable and valid reference data for the designers.

Peningkatan Kemampuan Penelusuran dan Pemanfaatan E-Resources Bagi Pustakawan di Pekanbaru

The information age creates abundant digital information sources (e-resources) through the internet. The abundance of digital information encourages humans to search and use it to meet information needs. However, not all information on the internet can be taken to be genuine, valid and reliable references. So, this service activity was carried out aimed at providing technical guidance to librarians in Pekanbaru. The method used in this activity is by providing technical guidance on tracking and utilizing e-resources to librarians. The result of this activity is an increase in the librarian's understanding and skills in the strategy and utilization of e-resources an average of 24.5%, as well as scientific articles that have been sent to the journal Bidik. The suggestion from the dedication is that the training participants should apply the knowledge gained from the training in each library, and it is better if similar activities should be held in the field of library science.

An Optical and SAR Based Fusion Approach for Mapping Surface Water Dynamics over Mainland China

Earth Observation (EO) data is a critical information source for mapping and monitoring water resources over large inaccessible regions where hydrological in-situ networks are sparse. In this paper, we present a simple yet robust method for fusing optical and Synthetic Aperture Radar (SAR) data for mapping surface water dynamics over mainland China. This method uses a multivariate logistic regression model to estimate monthly surface water extent over a four-year period (2017 to 2020) from the combined usages of Sentinel-1, Sentinel-2 and Landsat-8 imagery. Multi-seasonal high-resolution images from the Chinese Gaofen satellites are used as a reference for an independent validation showing a high degree of agreement (overall accuracy 94%) across a diversity of climatic and physiographic regions demonstrating potential scalability beyond China. Through inter-comparison with similar global scale products, this paper further shows how this new mapping technique provides improved spatio-temporal characterization of inland water bodies, and for better capturing smaller water bodies (&lt; 0.81 ha in size). The relevance of the results is discussed, and we find this new enhanced monitoring approach has the potential to advance the use of Earth observation for water resource management, planning and reporting.

Finite Element Modeling of Residual Stress at Joint Interface of Titanium Alloy and 17-4PH Stainless Steel

Residual stress is a crucial element in determining the integrity of parts and lifetime of additively manufactured structures. In stainless steel and Ti-6Al-4V fabricated joints, residual stress causes cracking and delamination of the brittle intermetallic joint interface. Knowledge of the degree of residual stress at the joint interface is, therefore, important; however, the available information is limited owing to the joint’s brittle nature and its high failure susceptibility. In this study, the residual stress distribution during the deposition of 17-4PH stainless steel on Ti-6Al-4V alloy was predicted using Simufact additive software based on the finite element modeling technique. A sharp stress gradient was revealed at the joint interface, with compressive stress on the Ti-6Al-4V side and tensile stress on the 17-4PH side. This distribution is attributed to the large difference in the coefficients of thermal expansion of the two metals. The 17-4PH side exhibited maximum equivalent stress of 500 MPa, which was twice that of the Ti-6Al-4V side (240 MPa). This showed good correlation with the thermal residual stress calculations of the alloys. The thermal history predicted via simulation at the joint interface was within the temperature range of 368–477 °C and was highly congruent with that obtained in the actual experiment, approximately 300–450 °C. In the actual experiment, joint delamination occurred, ascribable to the residual stress accumulation and multiple additive manufacturing (AM) thermal cycles on the brittle FeTi and Fe2Ti intermetallic joint interface. The build deflected to the side at an angle of 0.708° after the simulation. This study could serve as a valid reference for engineers to understand the residual stress development in 17-4PH and Ti-6Al-4V joints fabricated with AM.

Symphyonema bifilamentata sp. nov., the Right Fischerella ambigua 108b: Half a Decade of Research on Taxonomy and Bioactive Compounds in New Light.

Since 1965 a cyanobacterial strain termed ‘Fischerella ambigua 108b’ was the object of several studies investigating its potential as a resource for new bioactive compounds in several European institutes. Over decades these investigations uncovered several unique small molecules and their respective biosynthetic pathways, including the polychlorinated triphenyls of the ambigol family and the tjipanazoles. However, the true taxonomic character of the producing strain remained concealed until now. Applying a polyphasic approach considering the phylogenetic position based on the 16S rRNA and the protein coding gene rbcLX, secondary structures and morphological features, we present the strain ‘Fischerella ambigua 108b’ as Symphyonema bifilamentata sp. nov. 97.28. Although there is the type species (holotype) S. sinense C.-C. Jao 1944 there is no authentic living strain or material for genetic analyses for the genus Symphyonema available. Thus we suggest and provide an epitypification of S. bifilamentata sp. nov. 97.28 as a valid reference for the genus Symphyonema. Its affiliation to the family Symphyonemataceae sheds not only new light on this rare taxon but also on the classes of bioactive metabolites of these heterocytous and true-branching cyanobacteria which we report here. We show conclusively that the literature on the isolation of bioactive products from this organism provides further support for a clear distinction between the secondary metabolism of Symphyonema bifilamentata sp. nov. 97.28 compared to related and other taxa, pointing to the assignment of this organism into a separate genus.

(079) Proposal to convert Recommendation 41A.1 into an Article

Recommendation 41A.1 of the Shenzhen Code (Turland & al. in Regnum Veg. 159. 2018) states that “The full and direct reference to the place of publication of the basionym or replaced synonym should immediately follow a proposed new combination, name at new rank, or replacement name. It should not be provided by mere cross-reference to a bibliography at the end of the publication or to other parts of the same publication, e.g. by use of the abbreviations ‘loc. cit.’ or ‘op. cit.’” However, this Recommendation has not been followed by some authors in their publications owing to strict adherence to the format required by some journals, i.e. “Author(s) (year: page/plate number(s))” with full bibliographic details given in the References section of the paper. This is especially apparent in the journal Phytotaxa, but not in all cases (e.g. Kanokorn & al. in Phytotaxa 162: 120. 2014). Furthermore, there are a few other taxonomic journals such as Blumea and Telopea that follow this format for bibliographic/nomenclatural citation. However, when it comes to new combination, name at new rank or replacement name, a full and direct reference to the place of publication is also given immediately after the basionym or replacement name. As pointed out by Turland (Code Decoded, ed. 2: 39. 2019), we strongly feel that this method of citation is against what the Code recommends, even though it technically complies with what the Code rules. To bring uniformity to such citations, we would like to make Rec. 41A.1 mandatory by upgrading it to an Article by means of an amendment to the existing Art. 41.5, as follows. “41.5. On or after 1 January 1953, a new combination, name at new rank, or replacement name is not validly published unless its basionym or replaced synonym is clearly indicated and a full and direct reference given to its author and place of valid publication, with page or plate reference and date (but see Art. 41.6 and 41.8). On or after 1 January 2007, a new combination, name at new rank, or replacement name is not validly published unless its basionym or replaced synonym is cited. On or after 1 January 2025, a new combination, name at new rank, or replacement name is not validly published unless it is immediately followed by the full and direct reference to the author and place of publication of its basionym or replaced synonym.” We thank the Principal and the Head of the Department of Botany, Madras Christian College (Autonomous), Chennai and the Director, Botanical Survey of India, Kolkata for providing facilities. We also thank Dr. John McNeill, Royal Botanic Garden, Edinburgh and Nicholas J. Turland, Botanischer Garten und Botanisches Museum Berlin for their comments.

Selection and validation reference genes for qRT-PCR normalization in different cultivars during fruit ripening and softening of peach (Prunus persica)

Quantitative real-time PCR (qRT-PCR) has been emerged as an effective method to explore the gene function and regulatory mechanisms. However, selecting appropriate reference gene (s) is a prerequisite for obtaining accurate qRT-PCR results. Peach is one of important fruit in Rosaceae and is widely cultivated worldwide. In this study, to explore reliable reference gene (s) in peach with different types during fruit ripening and softening (S1–S4), nine candidate reference genes (EF-1α, GAPDH, TBP, UBC, eIF-4α, TUB-A, TUB-B, ACTIN, and HIS) were selected from the whole-genome data. Then, the expression levels of the nine selected genes were detected using qRT-PCR in three peach types, including ‘Hakuho’ (melting type), ‘Xiacui’ (stony hard type), ‘Fantasia’ and ‘NJC108’ (non-melting type) cultivars were detected using qRT-PCR. Four software (geNorm, NormFinder, BestKeeper and RefFinder) were applied to evaluate the expression stability of these candidate reference genes. Gene expression was characterized in different peach types during fruit ripening and softening stages. The overall performance of each candidate in all samples was evaluated. The Actin gene (ACTIN) was a suitable reference gene and displayed excellent stability in ‘Total’ set, ‘Hakuho’ samples, S3 and S4 fruit developmental stages. Ubiquitin C gene (UBC) showed the best stability in most independent samples, including ‘Fantasia’, ‘NJC108’, S2 sets. Elongation factor-1α gene (EF-1α) was the most unstable gene across the set of all samples, ‘NJC108’ and S2 sets, while showed the highest stability in ‘Xiacui’ samples. The stability of candidate reference genes was further verified by analyzing the relative expression level of ethylene synthase gene of Prunus persica (PpACS1) in fruit ripening and softening periods of ‘Hakuho’. Taken together, the results from this study provide a basis for future research on the mining of important functional genes, expression patterns and regulatory mechanisms in peach.

The glass transition of amorphous polymers: About a continuous equation of state and its derivatives

AbstractDescribing the pressure‐volume‐temperature (PVT) behavior of polymers is often hindered due to limitations of models and theories. In this work, we propose the logistic function to derive a phenomenological equation of state (EOS) that overcomes these limitations. Without dividing the temperature domain into several intervals, this continuous EOS describes the PVT behavior of amorphous polymers in the equilibrium state, the vitreous state and at glass transition. Discontinuities at glass transition are inherently eliminated. The EOS is continuously differentiable with respect to temperature and pressure. The thermal expansion coefficient and compression modulus thus can be determined at any valid reference state. The EOS linearly depends on temperature both in the equilibrium state and vitreous state. Furthermore, a parameter of the EOS is interpreted as the pressure‐dependent glass transition temperature. Using PVT data of polyethersulfone (PES), measured in the temperature range of 20 − 360 °C and pressure range of 10 − 200 MPa in both the isobaric and standard isothermal mode, the validity of the EOS is discussed. Polymer processing simulation and solid mechanics benefit from the EOS and its derivatives, respectively. In addition, the EOS can be used to determine the glass transition temperature from PVT data.

Identification of Suitable Housekeeping Genes for Quantitative Gene Expression Analysis During Retinoic Acid-induced Differentiation of Embryonal Carcinoma NCCIT Cells

Real-time quantitative PCR (qRT-PCR) is often used as an effective experimental method for analyzing gene expression. In this method, normalization of target gene expression levels must be performed using housekeeping genes (HKGs). HKGs are used to compensate for difference between samples due to diverse quality and quality of RNAs and different reverse transcription yield. For an ideal reference gene, constant expression levels across different samples of one experiment is necessary. In the current study, expression stability of four candidate references genes including Beta actin (ACTB), glyceraldeyde-3-phosphate dehydrogenase (GAPDH), hypoxanthine guanine phosphoribosyl transferase (HPRT1) and Beta-2-Microglobulin (β2M) following retinoic acid (RA) treatment in embryonal carcinoma NCCIT cells were evaluated.NCCIT cells were exposed to RA (10 µM) for 14 days to induce differentiation. RT-qPCR for candidate references genes was performed and normalization between untreated and RA-treated cells was performed using identical sample input amounts. Expression of OCT4, SOX2, NANOG during RA-induced differentiation was assessed by quantitative real-time PCR. RT-qPCR results indicated significant difference in expression level of GAPDH between untreated (Ct mean: 19.36667± 0.28) and RA-treated (Ct mean: 28.94± 0.18) NCCIT cells. However, transcriptional level of ACTB, HPRT and β2M remained unchanged after RA treatment. qRT-PCR analysis using ACTB, HPRT and β2M showed treatment of NCCIT cells with RA lead to significant down regulation of OCT4 (79%), NANOG (71%) and SOX2 (96%) transcript. ACTB, HPRT and β2M were recognized as valid reference genes for analysis of gene expression during RA-induced differentiation of NCCIT cells, while GAPDH was not suitable.

Effect of Water Models on Transmembrane Self-Assembled Cyclic Peptide Nanotubes.

Self-assembling cyclic peptide nanotubes can form nanopores when they are inserted in lipid bilayers, acting as ion and/or water permeable channels. In order to improve the versatility of these systems, it is possible to specifically design cyclic peptides with a combination of natural and non-natural amino acids, enabling the control of the nature of the inner cavity of the channels. Here, the behavior of two types of self-assembling peptide motifs, alternating α-amino acids with γ- or δ-aminocycloalkanecarboxylic acids, is studied via molecular dynamics (MD) simulations. The behavior of water molecules in nanopores is expected to affect the properties of these channels and therefore merits detailed examination. A number of water models commonly used in MD simulations have been validated by how well they reproduce bulk water properties. However, it is less clear how these water models behave in the nanoconfined condition inside a channel. The behavior of four different water models—TIP3P, TIP4P, TIP4P/2005, and OPC—are evaluated in MD simulations of self-assembled cyclic peptide nanotubes of distinct composition and diameter. The dynamic behavior of the water molecules and ions in these designed artificial channels depends subtly on the water model used. TIP3P water molecules move faster than those of TIP4P, TIP4P/2005, and OPC. This demeanor is clearly observed in the filling of the nanotube, in water diffusion within the pore, and in the number and stability of hydrogen bonds of the peptides with water. It was also shown that the water model influences the simulated ion flux through the nanotubes, with TIP3P producing the greatest ion flux. Additionally, the two more recent models, TIP4P/2005 and OPC, which are known to reproduce the experimental self-diffusion coefficient of bulk water quite well, exhibit very similar results under the nanoconfined conditions studied here. Because none of these models have been parametrized specifically for waters confined in peptide nanotubes, this study provides a point of reference for further validation.

Valores normativos del consumo de oxígeno máximo en las personas mayores de los centros día de la ciudad de Tunja, Colombia

ObjectiveTo determine the normative values of oxygen consumption in older adults in the day centres of the city of Tunja, Colombia. Materials and methodsA descriptive cross-sectional study was carried out with a sample size of 121 participants, to whom the modified Bruce protocol was applied to determine oxygen consumption, building from these results the percentile distribution using the method of least squares, through R Studio® statistical software. ResultsThe average age of the participants was 70.98 ± 8.8 years, the female gender and the presence of comorbidities prevailed. An inverse relationship between age and VO2 max was found in the results, showing that the older the age, the lower the oxygen consumption (p < 0.05; Rho -0.42). ConclusionsA normalization model for oxygen consumption given in MET and in mL/kg/min is presented, providing standards at the national and regional level valid reference values for the elderly, being applicable in evaluation and intervention processes.

Subjective well-being: Mental health study among student in the Islamic boarding school

The purpose of this study was to analyze the model of the influence of family social support, gratitude, and self-acceptance on subjective well-being in student in Islamic boarding schools. The population in this study was all student of class VII in boarding school X and boarding school Y in Yogyakarta, with a total of 430 students. The sample in this study was 150 students. The sampling technique used for this study was cluster random sampling. The data were collected by using several instruments in the form of scales. The scales consisted of family social support scale, gratitude scale, self-acceptance scale, and subjective well-being scale. Data analysis was performed by testing the outer model and the inner model. The data were analyzed using structural equation model (SEM) through the Smart Partial Least Square 3.2.8 program. The results of this study suggested that the formation of a model of the influence of family social support, gratitude, and self-acceptance on subjective well-being fits with empirical data obtained. In other words, there was a significant positive correlation between all variables being studied and subjective well-being. The theoretical model formed in this study was considered fit, so it can be used as a valid model reference in investigating adolescents' subjective well-being.