scholarly journals Structural model splicing method based on well seismic combination

2021 ◽  
Vol 329 ◽  
pp. 01031
Author(s):  
Dan Sun

The use of small blocks with model-building results for overall structural model splicing can unify fault understanding, effectively integrate existing small block model results, and form a unified and continuous overall model. This article focuses on the structural models of two small blocks in the central and western parts of a certain area, and studies the method of splicing structural models at the sedimentary unit level to lay the foundation for the precise tapping of the potential of the fault edge.

Author(s):  
Todorova N.Yu.

Purpose. The purpose of the research is to define structural, semantic and grammatical features of the Phraseological Units (PhU) with the component denoting weapon in the English language. It is realized through determining the corpus of PhUs with the component denoting weapon in English, developing their semantic-grammatical classification and describing their most productive structural models in each semantic-grammatical category.Methods. The study is characterized by the integrated application of general and specific research methods. General scientific methods analysis and synthesis, induction and deduction, logical operations definition and classification were used for empirical data processing. As to research methods specific for linguistics, the descriptive method allowed to comprehensively represent the results, the method of internal interpretation was involved in the process of dividing the collected data into semantic-grammatical classes. Within the structural approach, the method of immediate constituents was applied for building structural models of PhUs. The elements of the quantitative analysis ensured the objectivity and accuracy of the obtained results.Results. Defining the notion weapon made it possible to establish the criteria for data collection. The corpus of the analyzed data includes the English PhUs with the component denoting the general concept of weapon (arms, weapon), defensive weapon, cold weapon, fire weapon, their constructive parts and service ammunition. According to the semantic-grammatical classification, the PhUs fall into semantic-grammatical classes: verbal, substantive, adverbial and adjective PhUs, within which the verbal class is the most widespread. In each semantic-grammatical class, the most productive structural models are determined and the type of syntactic connection between the components of the models is described. Verbal PhUs with the component denoting weapon are mainly subordinate phrases formed according to the model V+N. The highest number of substantive PhUs are phrases with an attributive relation between the core and the dependent components (Adj+N). The most typical structural model of adverbial PhUs is Prep+N+N. Adjective PhUs are often comparative phrases with a comparative component in their structure (Adj+Conj+N).Conclusions. The corpus of English PhUs with the component denoting weapon is formed by the PhUs with the component denoting the general concept of weapon, types of weapons, their parts and service ammunition. According to the structural-semantic classification, the analyzed PhUs are divided into structural-semantic classes: verbal, substantive, adverbial and adjective PhUs, among which the verbal class is dominating. The most productive structural model for verbal PhUs is V+N, for substantive PhUs – Adj+N, for adverbial PhUs – Prep+N+N, and for adjective PhUs – Adj+Conj+N.Key words: classification, classes, structural models, verbal idioms, substantive idioms, adverbial idioms, attributive idioms. Мета. Метою дослідження є висвітлення структурних та семантико-граматичних характеристик фразеологічних одиниць (ФО) з компонентом на позначення зброї в англійській мові, досягнення якої уможливлюється шляхом встановлення корпусу ФО з компонентом на позначення зброї в англійській мові, розробки їх семантико-граматичної класифікації та опису найпро-дуктивніших структурних моделей кожного семантико-граматичного розряду.Методи. Дослідження характеризується комплексним застосуванням загальнонаукових та спеціальних лінгвістичних методів. Для обробки емпіричного матеріалу використовувалися загальнонаукові методи аналіз і синтез, індукція та дедукція, логічні операції визначення та класифікація. Серед лінгвістичних методів описовий метод дає змогу репрезентувати результа-ти, а прийом внутрішньої інтерпретації залучався для розподілу ФО за семантико-граматичними розрядами. У межах струк-турного підходу методика безпосередніх складників використовувалась для побудови структурних моделей ФО. Елементи кількісного аналізу забезпечили об’єктивність і точність отриманих результатів.Результати. Окреслення поняття зброя уможливило встановлення корпусу досліджуваних одиниць, до якого ввійшли англійські ФО, в структурі яких є лексема-компонент на позначення узагальненого поняття зброя (arms, weapon), на позначен-ня захисної, метальної, холодної, вогнепальної зброї, її конструктивних частин та боєприпасів. У результаті розробки семан-тико-граматичної класифікації ФО розподілено за семантико-граматичними розрядами: дієслівні, субстантивні, адвербіальні й ад’єктивні ФО, серед яких дієслівні ФО набувають найвищої кількісної представленості. У межах кожного розряду виявлено найпродуктивніші структурні моделі утворення ФО, описано тип синтаксичного зв’язку між компонентами моделей. Дієслівні ФО з компонентом на позначення зброї переважно є підрядними словосполученнями утвореними за моделлю V+N. Найви-ща кількість субстантивних ФО є словосполученнями з атрибутивний зв’язком між стрижневим і залежним компонентом (Adj+N). Найтиповішою моделлю утворення адвербіальних ФО є модель Prep+N+N. Ад’єктивні ФО часто є компаративними словосполученнями із порівняльним компонентом у своїй структурі (Adj+Conj+N).Висновки. Корпус ФО з компонентом на позначення зброї формують ФО з лексемою-компонентом на позначення узагаль-неного поняття зброя, різновидів зброї, її частин та боєприпасів. Згідно зі структурно-семантичною класифікацією ФО роз-падаються на структурно-семантичні розряди: дієслівні, субстантивні, адвербіальні й ад’єктивні ФО, серед яких дієслівні ФО кількісно переважають. Найпродуктивнішою структурною моделлю дієслівних ФО є модель V+N, субстантивних – Adj+N, адвербіальних – Prep+N+N, ад’єктивних – Adj+Conj+N.Ключові слова: класифікація, розряди, структурні моделі, дієслівні фразеологізми, субстантивні фразеологізми, адвербі-альні фразеологізми, атрибутивні фразеологізми.


2017 ◽  
Vol 28 (5) ◽  
pp. 631-654 ◽  
Author(s):  
Ibrahim M. Awad ◽  
Alaa A. Amro

Purpose The purpose of this paper is to map the cluster in the leather and shoes sector for improving the competitiveness of the firms. Toward this end, the study is organized to examine the impact of clustering on competitiveness improvement. The influence of competitive elements and performance (Porter’s diamond) and balanced score card was utilized. Design/methodology/approach A random sample of 131 respondents was chosen during the period from May 2016 to July 2016. A structural equation modeling (SEM) analysis was applied to investigate the research model. This approach was chosen because of its ability to test casual relationships between constructs with multiple measurement items. Researchers proposed a two-stage model-building process for applying SEM. The measurement model was first examined for instrument validation, followed by an analysis of the structural model for testing associations hypothesized by the research model. Findings The main findings show that there is a unidirectional causal relationship between improvements of performance and achieve competitiveness and also reveal that the Palestinian shoes and leather cluster sector is vital and strong, and conclude that clustering can achieve competitiveness for small- and medium-sized enterprises. Research limitations/implications Future research can examine the relationship between clustering and innovation. The effect of clustering using other clustering models other than Porter’s model is advised to be used for future research. Practical implications The relationships among clustering and competitiveness may provide a practical clue to both, policymakers and researchers on how cluster enhances economic firms such as a skilled workforce, research, development capacity, and infrastructure. This is likely to create assets such as trust, synergy, collaboration and cooperation for improved competitiveness. Originality/value The findings of this study provide background information that can simultaneously be used to analyze relationships among factors of innovation, customer’s satisfaction, internal business and financial performance. This study also identified several essential factors in successful firms, and discussed the implications of these factors for developing organizational strategies to encourage and foster competitiveness.


2016 ◽  
Vol 03 (02) ◽  
pp. 1650011
Author(s):  
Amelie Hüttner ◽  
Matthias Scherer

We consider the valuation of single name CDS options (CDSO) and related optionalities, particularly extension risk, in the structural default model introduced by Chen and Kou (2009). This jump-diffusion based model is able to generate realistic dynamics for CDS spreads and has decent calibration performance. Due to the European character of the considered options, they can be valued with an efficient Monte Carlo algorithm based on Brownian bridges, adapted from Ruf and Scherer (2011). In contrast to the intensity approach, structural models offer a link to the equity side of a firm’s capital structure, possibly enabling to hedge CDS options with instruments other than CDS.


Author(s):  
Carrie A. Voycheck ◽  
Patrick J. McMahon ◽  
Richard E. Debski

Glenohumeral dislocation is a significant clinical problem and often results in injury to the anteroinferior (anterior band of the inferior glenohumeral ligament (AB-IGHL) and axillary pouch) glenohumeral capsule. [1] However, clinical exams to diagnose capsular injuries are not reliable [2] and poor patient outcome still exists following repair procedures. [3] Validated finite element models of the glenohumeral capsule may be able to improve diagnostic and repair techniques; however, improving the accuracy of these models requires adequate constitutive models to describe capsule behavior. The collagen fibers in the anteroinferior capsule are randomly oriented [4], thus the material behavior of the glenohumeral capsule has been described using isotropic models. [5,6] A structural model consisting of an isotropic matrix embedded with randomly aligned collagen fibers proved to better predict the complex capsule behavior than an isotropic phenomenological model [7] indicating that structural models may improve the accuracy of finite element models of the glenohumeral joint. Many structural models make the affine assumption (local fiber kinematics follow global tissue deformation) however an approach to account for non-affine fiber kinematics in structural models has been recently developed [8]. Evaluating the affine assumption for the capsule would aid in developing an adequate constitutive model. Therefore, the objective of this work was to assess the affine assumption of fiber kinematics in the anteroinferior glenohumeral capsule by comparing experimentally measured preferred fiber directions to the affine-predicted fiber directions.


2016 ◽  
Vol 33 (6) ◽  
pp. 1265-1305 ◽  
Author(s):  
Stefan Hoderlein ◽  
Lars Nesheim ◽  
Anna Simoni

This paper discusses nonparametric estimation of the distribution of random coefficients in a structural model that is nonlinear in the random coefficients. We establish that the problem of recovering the probability density function (pdf) of random parameters falls into the class of convexly-constrained inverse problems. The framework offers an estimation method that separates computational solution of the structural model from estimation. We first discuss nonparametric identification. Then, we propose two alternative estimation procedures to estimate the density and derive their asymptotic properties. Our general framework allows us to deal with unobservable nuisance variables, e.g., measurement error, but also covers the case when there are no such nuisance variables. Finally, Monte Carlo experiments for several structural models are provided which illustrate the performance of our estimation procedure.


2005 ◽  
Vol 24 (4) ◽  
pp. 189-204 ◽  
Author(s):  
Sabcho D. Dimitrov ◽  
Lawrence K. Low ◽  
Grace Y. Patlewicz ◽  
Petra S. Kern ◽  
Gergana D. Dimitrova ◽  
...  

A quantitative structure-activity relationship (QSAR) system for estimating skin sensitization potency has been developed that incorporates skin metabolism and considers the potential of parent chemicals and/or their activated metabolites to react with skin proteins. A training set of diverse chemicals was compiled and their skin sensitization potency assigned to one of three classes. These three classes were, significant, weak, or nonsensitizing. Because skin sensitization potential depends upon the ability of chemicals to react with skin proteins either directly or after appropriate metabolism, a metabolic simulator was constructed to mimic the enzyme activation of chemicals in the skin. This simulator contains 203 hierarchically ordered spontaneous and enzyme controlled reactions. Phase I and phase II metabolism were simulated by using 102 and 9 principal transformations, respectively. The covalent interactions of chemicals and their metabolites with skin proteins were described by 83 reactions that fall within 39 alerting groups. The SAR/QSAR system developed was able to correctly classify about 80% of the chemicals with significant sensitizing effect and 72% of nonsensitizing chemicals. For some alerting groups, three-dimensional (3D)-QSARs were developed to describe the multiplicity of physicochemical, steric, and electronic parameters. These 3D-QSARs, so-called pattern recognition-type models, were applied each time a latent alerting group was identified in a parent chemical or its generated metabolite(s). The concept of the mutual influence amongst atoms in a molecule was used to define the structural domain of the skin sensitization model. The utility of the structural model domain and the predictability of the model were evaluated using sensitization potency data for 96 chemicals not used in the model building. The TIssue MEtabolism Simulator (TIMES) software was used to integrate a skin metabolism simulator and 3D-QSARs to evaluate the reactivity of chemicals thus predicting their likely skin sensitization potency.


2017 ◽  
Vol 13 (4) ◽  
Author(s):  
Valentina Tortosa ◽  
Maria Carmela Bonaccorsi di Patti ◽  
Valentina Brandi ◽  
Giovanni Musci ◽  
Fabio Polticelli

AbstractFerroportin (Fpn) is a membrane protein representing the major cellular iron exporter, essential for metal translocation from cells into plasma. Despite its pivotal role in human iron homeostasis, many questions on Fpn structure and biology remain unanswered. In this work, we present two novel and more reliable structural models of human Fpn (hFpn; inward-facing and outward-facing conformations) obtained using as templates the recently solved crystal structures of a bacterial homologue of hFpn,


IUCrJ ◽  
2018 ◽  
Vol 5 (5) ◽  
pp. 585-594 ◽  
Author(s):  
Bart van Beusekom ◽  
Krista Joosten ◽  
Maarten L. Hekkelman ◽  
Robbie P. Joosten ◽  
Anastassis Perrakis

Inherent protein flexibility, poor or low-resolution diffraction data or poorly defined electron-density maps often inhibit the building of complete structural models during X-ray structure determination. However, recent advances in crystallographic refinement and model building often allow completion of previously missing parts. This paper presents algorithms that identify regions missing in a certain model but present in homologous structures in the Protein Data Bank (PDB), and `graft' these regions of interest. These new regions are refined and validated in a fully automated procedure. Including these developments in the PDB-REDO pipeline has enabled the building of 24 962 missing loops in the PDB. The models and the automated procedures are publicly available through the PDB-REDO databank and webserver. More complete protein structure models enable a higher quality public archive but also a better understanding of protein function, better comparison between homologous structures and more complete data mining in structural bioinformatics projects.


Author(s):  
Maksym Korobchynskyi ◽  
Oleg Mashkov

In the following work the authors attempt to find the best way to design a dynamic structural model of information management system of moving objects. This structural model allows organizing various management systems of moving objects, considering the spatial and time dependencies between the key components or parameters of the said management system. An example of such system may be a group of UAVs.


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