Developed Model Research Articles

Pricing strategies in the Silicon Valley housing market: an update on TOM and recent events

Purpose This study aims to explore the relationship between house prices and time-on-market (TOM) in Silicon Valley. Previous findings have been inconclusive due to variations in property characteristics. This paper highlights the discrepancy between listing and selling prices and identifies differences among housing types such as condominiums, detached houses and townhouses based on housing orientations and customer groups. Additionally, this study considers the impact of the COVID-19 pandemic and the Fed’s interest rate policies on the housing market. Design/methodology/approach The authors analyze 63,853 transactions from the Bay East Board of Realtors’ Multiple Listing Service during 2018 to 2022. The study uses a multiple-stage methodology, including a nonlinear hedonic pricing model, search theory and two-stage least squares method to address concerns relating to endogeneity. Findings The Silicon Valley housing market shows resilience, with low-end properties giving buyers more bargaining power without significant price drops. High-end properties, on the other hand, attract more attention over time, leading to aggressive bidding and higher final sale prices. The pandemic, despite reducing housing supply, did not dampen demand, leading to price surges. Post-COVID, price correlations with TOM changed, indicating a more cautious buyer approach toward high premiums. The Fed’s stringent monetary policies post-2022 intensified these effects, with longer listing times leading to greater price disparities due to financial pressures on buyers and shifting dynamics in buyer interest. Practical implications Results reveal a nonlinear positive correlation between TOM and the price formation process, indicating that the longer a listed property is on the market, the greater the price changes. For low-end properties, TOM becomes significantly negative, while for high-end properties, the coefficient becomes significantly positive, with effects and magnitudes varying by type of dwelling. Moreover, external environmental factors, especially those leading to financial strain, can significantly impact the housing market. Originality/value The experience of Silicon Valley is valuable for cities using it as a development model. The demand for talent in the tech industry will stimulate the housing market, especially as the housing supply will not improve in the short term. It is important for government entities to plan for this proactively.

Parental Factors Related to COVID-19 Prevention Behavior in Children with Intellectual Disability: Partial Least Square Structural Equation Modeling

Efforts to prevent COVID-19 in children with intellectual disability require the role of parents. Even though the vaccine has been implemented, the most important effort is to implement health protocols. Implementing health protocols cannot be separated from knowledge, attitudes, intentions, subjective norms, and social support from parents. This research aims to determine the influence of knowledge, attitudes, intentions, subjective norms, and social support on the COVID-19 prevention behavior of parents of children with intellectual disability. This type of research is descriptive correlational research, and the developed model is validated using the partial least squares structural equality modeling (PLS-SEM) approach based on data collected from 100 parents of children with intellectual disabilities taken using purposive sampling at Semarang Municipal Special Schools.The study results show that parental characteristics, namely education, influence attitudes, which can ultimately affect parental intentions. Parental education also affects social norms, namely social support and subjective norms, which can determine COVID-19 prevention behavior. Parental education is a priority in public health strategies because it can directly shape attitudes, intentions, and social norms that can improve the health of children with intellectual disabilities. Health programs and education for parents must be focused and carried out consistently and continuously.

The effect of involvement and perceived usefulness on attitudinal and behavioral loyalty in online bookings

Purpose This study aims to examine involvement and perceived usefulness (PU) as the drivers of loyalty for online booking websites, revealing findings of theoretical and practical relevance. The proposed conceptual model is drawn on elaboration likelihood model (ELM) along with the consideration of expectation confirmation model for loyalty development. Design/methodology/approach A two-stage structural equation modeling was applied to test the reliability and validity of the constructs and the strength of the hypothesized relationships. Findings Attitudinal loyalty (AL) is found to have a significant role, resulting in behavioral loyalty (BL) toward online booking. The results of this study supported the ELM framework, where involvement and PU resulted in BL through AL. PU and AL also served as mediating mechanisms underlying the impact of consumer involvement on BL. Originality/value This study applies the ELM to online ticketing mechanisms and nuances amid AL and BL with their drivers.

RETRACTION: Structural Characteristics and Development Model of Fluid Diapirs Within the Structural Transition Zone, Northern South China Sea

RETRACTION: Y. Qin, C. Liu, G. Peng, L. Huang, C. Liang, H. Li, Z. Wu and L. Yang, “,” Geological Journal 59, no. (2024): 1906–1923, https://doi.org/10.1002/gj.4968. The above article, published online on 28 April 2024 in Wiley Online Library (wileyonlinelibrary.com), has been retracted by agreement between the authors; the journal Editor‐in‐Chief, Ian D. Somerville and Yunpeng Dong; and John Wiley & Sons Ltd. The retraction has been agreed as some of the data included within the article was not authorized for publication. Furthermore, the authors are not confident that the fluid diapir labels shown in figure 7 are correct and admit they may be problematic. As a result the editors have decided to retract this article.

Unfolding Prosody Guides the Development of Word Segmentation

Prosody is known to scaffold the learning of language, and thus understanding prosodic development is vital for language acquisition. The present study explored the unfolding prosody model of prosodic development (proposed in Frota’s et al. study in 2016) beyond early production data, to examine whether it predicted the development of early segmentation abilities. European Portuguese-learning infants aged between 5 and 17 months were tested in a series of word segmentation experiments. Developing prosodic structure was evidenced in word segmentation as proposed by the unfolding model: (i) a simple monosyllabic word shape crucially placed at a major prosodic edge was segmented first, before more complex word shapes under similar prosodic conditions; (ii) the segmentation of more complex words was easier at a major prosodic edge than in phrase-medial position; and (iii) the segmentation of complex words with an iambic pattern preceded the segmentation of words with a trochaic pattern. These findings demonstrated that word segmentation evolved with unfolding prosody, suggesting that the prosodic units developed in the unfolding process are used both as speech production planning units and to extract word-forms from continuous speech. Therefore, our study contributes to a better understanding of the mechanisms underlying word segmentation, and to a better understanding of early prosodic development, a cornerstone of language acquisition.

The study on fracture response of cracked pipeline considering the Lüders effect

Since pipeline steel typically exhibits yield discontinuities, some pipelines may experience high local strains during service that exceed the strain limits required by existing fracture assessment methods, thereby posing a significant threat to pipeline integrity. By establishing a finite element fracture model of a cracked pipeline with the Lüders effect and incorporating a developed constitutive model with a trilinear stress-strain relationship, the mechanical and fracture responses of the cracked pipeline with the Lüders effect under uniaxial tensile loading are analyzed in this study. The effects of crack configurations and material parameters on the crack driving force are discussed in detail. The results indicate that an increase in crack length and strain hardening exponent lowers the crack driving force plateau and shortens its length. Conversely, increases in crack depth, softening modulus, and Lüders strain raise the crack driving force plateau. Specifically, as crack depth increases, the plateau length of the crack driving force shortens, while an increase in the softening modulus and Lüders strain extends the plateau length. These conclusions provide guidance for the fracture analysis and assessment of pipelines with cracks affected by the Lüders effect.

3D whole body preclinical micro-CT database of subcutaneous tumors in mice with annotations from 3 annotators

A pivotal animal model for development of anticancer molecules is mice with subcutaneous tumors, grown by injection of xenografted tumor cells, where micro-Computed Tomography (µCT) of the mice is used to analyze the efficacy of the anticancer molecule. Manual delineation of the tumor region is necessary for the analysis, which is time-consuming and inconsistent, highlighting the need for automatic segmentation (AS) tools. This study introduces a preclinical µCT database, comprising 452 whole-body scans from 223 individual mice with subcutaneous tumors, spanning ten diverse µCT datasets conducted between 2014 and 2020 on a preclinical PET/CT scanner, making it the hitherto largest dataset of its kind. Each tumor is annotated manually by three expert annotators, allowing for robust model development. Inter-annotator agreement was analyzed, and we report an overall annotation agreement of 0.903 ± 0.046 (mean ± std) Fleiss’ Kappa and a mean deviation in volume estimation of 0.015 ± 0.010 cm3 (6.9% ± 4.7), which establishes a human baseline accuracy for delineation of subcutaneous tumors, while showing good inter-annotator agreement.

Investigating the Impact of Process Parameters on Bead Geometry in Laser Wire-Feed Metal Additive Manufacturing

Laser wire-feed metal additive manufacturing (LWAM) is an innovative technology that shows many advantages compared with traditional manufacturing approaches. Despite these advantages, its industrial adoption is limited by complex parameter management and inconsistent process quality. To address these issues and improve geometric accuracy, this study explores how process parameters influence bead geometry. We conducted a parameter study varying laser power, wire feed rate, traverse speed, and welding angle. Using a full factorial design with a central composite design methodology, we assessed bead height and width. This allowed us to develop a model to estimate ideal process parameters. The findings offer a detailed analysis of parameter interactions and their effects on bead geometry, aiming to enhance geometric accuracy and process stability in LWAM. Moreover, we have evaluated the proposed process parameters from our developed model, which showed a significant enhancement to the overall quality. This was validated via printing a single layer and multi-layer structures. The quality of the final predicted sample using the proposed method was improved by 40% compared to the best sample produced for the Design of Experiment trials.

CHANGES IN WOOD QUALITY OF BETULA ERMANII LOGS BY HEATING TREATMENT

Logs of Betula ermaniiCham. were heated at a temperature inside the logs of 80°C for different heating durations of 0, 20, 40, and 60 h using a laboratory oven. After heating treatment, several wood qualities were examined, including residual stresses, moisture content, wood color, and physical and mechanical properties. The effects of the heating treatment duration on wood quality were analyzed using linear mixed-effect modeling. The developed models revealed that heating treatment affected residual stresses and wood color but not mechanical properties. The obtained results also suggest that a heating treatment duration of 20 h is sufficient to reduce residual stresses in B. ermaniilogs without reducing the physical and mechanical properties of wood.

Developing Observation Report Text Teaching Materials Using Flip HTML5 Application

Indonesian language learning implements an independent curriculum, making students the subjects and centers of learning. This curriculum emphasizes developing students' thinking skills in solving problems and projects that can shape character according to the Pancasila student profile and 21st-century skills. In this digital era, education should take advantage of this situation by developing teaching materials, such as converting texts into electronic formats that make it easier for students to access them at school or home. This study aims to produce an e-module of observation report texts for grade X vocational school students. The method used is research and development (R&D) with the ADDIE development model, which includes analysis, design, development, implementation, and evaluation. The study results indicate that this e-module is considered very valid by material and media experts and suitable for digital teaching. This e-module can be accessed online, allowing students to learn anytime and anywhere. Expert validation shows that this e-module effectively increases student accessibility and involvement in learning.

Development of Scrapbook Learning Media in Indonesian Language Content for Class III Primary School

Based on the results of pre-research activities through observations and interviews conducted by researchers in class III at SD Negeri 05 Indralaya, various problems in learning activities were revealed. Scrapbooking is an example of a very interesting still visual media, referring to the art of sticking photos or drawings on paper and turning them into creative works. This research aims to produce valid and effective learning media products. Media validity, teacher response, and student response to scrapbook learning media in Indonesian language content. The type of research used is Research and Development (R&D) with the ADDIE development model with five stages consisting of Analyze, Design, Develop, Implement, and Evaluate. The research subjects were 1 teacher and 15 students. Data collection was carried out based on the results of material expert and media expert validation sheets, teacher response questionnaire sheets student responses, interviews, and documentation. Validation from material experts with a score percentage of 96.42% which is categorized as very valid. Validation from media experts with a score percentage of 90.6% which is categorized as very valid. The teacher response questionnaire resulted in a percentage score of 100% which was categorized as very good. Student response questionnaire with 2 trials, namely the small group got a percentage result of 88.88% in the very good category, and the large group got a percentage result of 84.44% in the very good category. Thus, the product in the form of scrapbook learning media is valid and effective for use as a learning media.

Development of Encyclopedia Learning Media Based on Local Vegetables as An Innovative Biology Learning Resource

This research aims to produce an encyclopedia learning media that is both valid and practical for improving students' understanding of biodiversity material. The research utilized a modified 4-D development model, streamlined into 3-D, which included the stages of Define, Design, and Develop. The instruments used comprise interviews and documentation. Data analysis included validation of the encyclopedia's development and analysis of student responses to the developed media. The results from the validation tests and student responses indicated positive outcomes. Media experts rated the validation at 95.83% (very valid), material experts at 84.28% (very valid), and language experts at 83.33% (valid). Students who responded to the small-scale trial were very good, scoring 92.18% (very valid), while those who responded to the large-scale trial were also very good, at 91.03% (very valid). In conclusion, the validity results were very positive and the response outcomes were highly favorable. Thus, the encyclopedia media is deemed valid for use by educators and students in the biodiversity learning process.

Intelligence model on sequence-based prediction of PPI using AISSO deep concept with hyperparameter tuning process

Protein–protein interaction (PPI) prediction is vital for interpreting biological activities. Even though many diverse sorts of data and machine learning approaches have been employed in PPI prediction, performance still has to be enhanced. As a result, we adopted an Aquilla Influenced Shark Smell (AISSO)-based hybrid prediction technique to construct a sequence-dependent PPI prediction model. This model has two stages of operation: feature extraction and prediction. Along with sequence-based and Gene Ontology features, unique features were produced in the feature extraction stage utilizing the improved semantic similarity technique, which may deliver reliable findings. These collected characteristics were then sent to the prediction step, and hybrid neural networks, such as the Improved Recurrent Neural Network and Deep Belief Networks, were used to predict the PPI using modified score level fusion. These neural networks’ weight variables were adjusted utilizing a unique optimal methodology called Aquila Influenced Shark Smell (AISSO), and the outcomes showed that the developed model had attained an accuracy of around 88%, which is much better than the traditional methods; this model AISSO-based PPI prediction can provide precise and effective predictions.

Application of PIML Methods for Steam Turbine Modeling in Digital Twin Development

Application of PIML Methods for Steam Turbine Modeling in Digital Twin Development

Development of a Health Insurance Navigation Program for Long-Term Childhood Cancer Survivors.

Adapting interventions to new contexts requires consideration of the needs, norms, and delivery structures of the new setting. We describe how we followed the ORBIT model of intervention development to create Health Insurance Navigation Tools (HINT), a health insurance patient navigation intervention for childhood cancer survivors. By engaging stakeholders and leveraging institutional resources, we identified and preemptively addressed real-world barriers, which may improve the feasibility and efficacy of the intervention. Using evidence-based implementation science models to adapt and refine interventions enhances rigor and reproducibility, implements checks and balances, and surmounts challenges of intervention rollout to accelerate the delivery of health insurance education to childhood cancer survivors.

Measures Teachers’ Perceptions of Differentiated Instruction : A Combination of Guttman Scale and Item Response Theory

This study aims to develop an instrument for teachers’ perceptions of differentiated instruction by adopting Oriondo and Antonio's instrument development model. This study involves three stages of development: instrument planning, pilot testing, and measurement. The respondents involved were 152 subject teachers at the secondary school level. The instrument developed contains differentiated instruction principles: learning environment, quality curriculum, responsive teaching, continuous assessment, and leadership and routines. A combination of the Guttman Scale and Item Response Theory was used to measure teachers' perceptions, which gave significant results. The analysis results show that most instrument items follow the model used, but some items require adjustment. The implication of this study is the importance of developing valid and reliable instruments to measure teachers' perceptions of differentiated instruction. The findings can contribute to improving classroom learning practices and student learning outcomes. Thus, this study provides a strong foundation for the development of teacher professionalism and the overall improvement of education quality.

An efficient product design tool for aftertreatment system

A numerical simulation technique based on the conservation of mass and energy in the gas phase has been developed to optimize the aftertreatment system with the lowest costs. Both oxygen storage capacity model and catalyst deterioration model have been integrated into the three-way catalyst performance model. Applications have been discussed, including XY-L 1.5L I3 gasoline turbocharged direct injection (GTDI) production hybrid vehicle, BY-L 1.5L I4 GTDI hybrid vehicle, XY-L (overseas version) 1.5L I4 GTDI hybrid vehicle, and G-L7 1.5L I4 GTDI hybrid vehicle. Vehicle tests in support of the proposed model have been described. The developed model covers the complete range of the cold start, high temperature and volume flow conditions. To optimize a three-way catalyst performance, this work simulated the effect of air fuel ratio, space velocity, temperature, biasing adjustment on the catalyst efficiency. The simulations presented the technique’s capability of well predicting emissions on fresh and full useful life aged aftertreatment systems, respectively, and carried out under transient conditions. The investigation indicated that excess fueling was used upon engine start to heat the catalyst up to its full operating temperature of greater than 350°C. The model results prompted a redesign of the I3 and I4 1.5L GTDI China 6b, Euro VId and Tier 3/SULEV30 exhaust systems over the world light vehicle test procedure (WLTP) and federal test procedure (FTP) cycles, respectively, for example, the model suggested that the latest design for the SULEV30 aftertreatment system on XY-L (overseas version) 1.5L I4 GTDI hybrid vehicle with the revised calibrations in the areas of cold-start and closed-loop fuel treated emissions of NMOG, NOx, and CO to the 70% of the SULEV30 standards with a $64 cost reduction relative to the baseline.

Creating Sustainability in Islamic Microfinance Institutions Based on a Networking Approach

Purpose — This study aims to find a sustainable development model for Islamic microfinance institutions (Islamic MFIs) based on Islamic networking and the critical factors that support their sustainability. Design/Methodology/Approach — This study uses a qualitative approach by conducting a literature review to find research directions and undertaking focus group discussions (FGD) with a network provider and Baitul Maal wat Tamwil (BMT) managers in Central Java. The FGD involved five stages. The first stage was carried out with a network provider (the Association of Baitul Maal wat Tamwil (or PBMTI)), and the second to fifth stages were carried out with BMT members of PBMTI as Islamic MFIs, whose implementation sequence was based on accreditation ranking (A, B, C, and D categories). The purpose of this grouping was to find the views of different stakeholders on the role of networks. Findings — This study found that Islamic networks have an important role in building the sustainability of Islamic MFIs. This important role is based on Islamic values (i.e., faith, morals, daʿwah (preaching), and social care) and the facilities provided in the network. Originality/Value — This study is unique as it explores the role of networks that develop Islamic values and provide various facilities to develop Islamic MFIs so that they can serve the community better and in a more sustainable way. Research Limitations/Implications — The FGD was conducted with representatives of BMT members of PBMTI whose number and opportunities for communication are limited. Therefore, more intensive studies are needed to determine the impact of the network on the members based on the programmes or facilities offered.

Expressions of biblical origin in learners’ dictionaries of proverbs and phraseological units

The need to improve the lexicographic description of the phraseological units and proverbs of biblical ori[1]gin which are not always fully parameterised in learners’ dictionaries, determines the relevance of the research presented in this article. The study aims to justify the methods for expanding the historical and etymological parametric zone of dictionary entries representing proverbs and phraseological units traced back to the Bible. Moreover, another goal is to develop new models for describing this linguistically and culturally valuable material in learners’ dictionaries intended, first and foremost, for primary school learners. Parametric analysis of modern lexicographic publications enabled us to identify the specific features of presenting the cultural and historical background of phraseological units and proverbs of biblical origin to schoolchildren, as well as to outline ways of improving their historical and etymological commentary. We developed our own materials using the method of lexicographic modeling and the author techniques of etymological paraphrasing. Through historical and etymological analysis, the origin of phraseological units and proverbs selected for lexicographic description was specified. The results of the study supplemented the theoretical and methodological basis of learner’s lexicography, as well as substantiated the use of models for describing proverbs and phraseological units dating back to biblical texts in a discursive dictionary. For instance, to represent expressions that are culturally significant but rare in modern speech, we suggest using a model of a comprehensive linguo-cultural text written by the author-compiler. In addition, a model of a narrative text on the issues relevant to children is proposed for actively functioning proverbs and phraseological units. The paper concludes that the developed lexicographic description models foreground the spiritual and moral potential of proverbs and phraseological units of biblical origin. Moreover, working with dictionary materials enables the accomplishment of educational objectives. It is emphasised that the practical va[1]lue of the developed models for describing proverbs and phraseological units lies in the possibility of their use by teachers when preparing informative teaching materials on phraseology and paremiology for a Russian language lesson or an extracurricular event. As a research outlook, we plan to develop the concept of a learner’s phraseological dictionary for secondary school students with extensive use of the biblical text and various research assignments.

Development of Digital Phonology Teaching Materials Using Shadowing Techniques for Korean BIPA Learners

This research aims to produce digital phonology teaching materials using the shadowing technique to improve the pronunciation skills of basic-level Korean BIPA learners. The research method employed Research and Development (R&D) with the ADDIE development model, which includes the stages of Analysis, Design, Development, Implementation, and Evaluation. Data collection techniques involved needs analysis by interviewing BIPA learners and instructors, then conducting pronunciation tests on Korean BIPA learners to identify pronunciation challenges and specific needs for material development. Based on this analysis, the digital teaching materials were designed and developed, then validated by media experts, material experts, and BIPA practitioners. Data analysis techniques in this research included quantitative and qualitative methods. The result showed that the development of digital phonology teaching materials with shadowing techniques for Korean BIPA learners was effective in improving Indonesian pronunciation skills. The evaluation results showed that this teaching material received a very positive response from teachers and learners, with feasibility test scores of 98% and 94% respectively, as well as expert validation that supported the quality of the teaching material. Thus, this digital teaching material not only meets the expected standards, but also offers concrete solutions to the pronunciation challenges faced by Korean BIPA learners, and is ready to be used to improve the effectiveness of Indonesian pronunciation learning.