scholarly journals About biological hip joint prostheses and the biomechanical behavior of implanted femur

2021 ◽  
Vol 12 (8) ◽  
pp. 2017-2044
Author(s):  
Raffaella Aversa ◽  
Relly Victoria Virgil Petrescu ◽  
Antonio Apicella ◽  
Florian Ion Tiberiu Petrescu
Keyword(s):  
Structural Behavior ◽  
Design Criteria ◽  
Finite Element Models ◽  
Modeling Tools ◽  
Biomechanical Behavior ◽  
Wide Range ◽  
Healthy Growth ◽  
Joint Prostheses ◽  
Distribution Of Stress ◽  
Bone Physiology

Biofidel femur Models with finite elements were developed using a specific segmentation combination with computed tomography and solid modeling tools capable of representing bone physiology and structural behavior. These biofidel Finite Element Models (FEM) are used to evaluate the change in the physiological distribution of stress in the prosthesis femur and to evaluate the new design criteria for biopsy biopsy biopsy biopsy. The proposed belief patterns allowed us to adequately take into account the non-isotropic features of the proximal femoral epiphysis and isotropic behavior in diaphysis to explain the critical changes in stress distribution in a femur resected after the implantation of a traditional articular prosthesis. It has been shown that a wide range of femoral diaphyses is completely protected by rigid prostheses that significantly alter the physiological distribution of stress, which should guarantee healthy growth and bone regeneration.

Human Factors Design Criteria for Transilluminated Displays

1977 ◽  
Vol 21 (1) ◽  
pp. 78-82
Author(s):  
Robert J. Hall ◽  
James C. Sanderlin
Keyword(s):  
Human Factors ◽  
Data Base ◽  
Physical Simulation ◽  
State Of The Art ◽  
Design Criteria ◽  
Human Engineering ◽  
Modeling Tools ◽  
Data Base Design ◽  
Wide Range ◽  
Base Design

This paper reviews recent studies of human factors design criteria for transilluminated displays and the development of a computerized data base and modeling tools to supplement human engineering design criteria for visual displays. The inherent limitations of present military standards for dealing with a wide range of variables in a variety of operational environments and the need to include changes in the state-of-the-art are addressed. Data base design and computer modeling are suggested as an intermediate approach between out of date standards and costly physical simulation.

Structure Guided Molecular Docking Assisted Alignment Dependent 3DQSAR Study on Steroidal Aromatase Inhibitors (SAIs) as Anti-breast Cancer Agents

2019 ◽  
Vol 16 (7) ◽  
pp. 808-817 ◽  
Author(s):  
Laxmi Banjare ◽  
Sant Kumar Verma ◽  
Akhlesh Kumar Jain ◽  
Suresh Thareja
Keyword(s):  
Breast Cancer ◽  
Molecular Docking ◽  
Aromatase Inhibitors ◽  
Direct Synthesis ◽  
3D Qsar ◽  
Chemotherapeutic Agents ◽  
Modeling Tools ◽  
Data Set ◽  
Wide Range ◽  
Steroidal Aromatase Inhibitors

Background: In spite of the availability of various treatment approaches including surgery, radiotherapy, and hormonal therapy, the steroidal aromatase inhibitors (SAIs) play a significant role as chemotherapeutic agents for the treatment of estrogen-dependent breast cancer with the benefit of reduced risk of recurrence. However, due to greater toxicity and side effects associated with currently available anti-breast cancer agents, there is emergent requirement to develop target-specific AIs with safer anti-breast cancer profile. Methods: It is challenging task to design target-specific and less toxic SAIs, though the molecular modeling tools viz. molecular docking simulations and QSAR have been continuing for more than two decades for the fast and efficient designing of novel, selective, potent and safe molecules against various biological targets to fight the number of dreaded diseases/disorders. In order to design novel and selective SAIs, structure guided molecular docking assisted alignment dependent 3D-QSAR studies was performed on a data set comprises of 22 molecules bearing steroidal scaffold with wide range of aromatase inhibitory activity. Results: 3D-QSAR model developed using molecular weighted (MW) extent alignment approach showed good statistical quality and predictive ability when compared to model developed using moments of inertia (MI) alignment approach. Conclusion: The explored binding interactions and generated pharmacophoric features (steric and electrostatic) of steroidal molecules could be exploited for further design, direct synthesis and development of new potential safer SAIs, that can be effective to reduce the mortality and morbidity associated with breast cancer.

scholarly journals Investigating the Enantiodetermining Step of a Chiral Lewis Base Catalyzed Bromocycloetherification of Privileged Alkenes

Synlett ◽  
2017 ◽  
Vol 29 (04) ◽  
pp. 433-439 ◽  
Author(s):  
Scott Denmark ◽  
Dietrich Böse
Keyword(s):  
Reaction Mechanism ◽  
Lewis Base ◽  
Design Criteria ◽  
Significant Progress ◽  
Detailed Understanding ◽  
Wide Range

The development of catalytic, enantioselective halofunctionalizations of unactivated alkenes has made significant progress in recent years. However, the identification of generally applicable catalysts for wide range of substrates has yet to be realized. A detailed understanding of the reaction mechanism is essential to guide the formulation of a truly general catalyst. Herein, we present our investigations on the enantiodetermining step of a Lewis base catalyzed bromocycloetherification that provides important insights and design criteria.

183 Designing Research for Beef Cattle Production in Extensive Environments

2021 ◽  
Vol 99 (Supplement_3) ◽  
pp. 98-99
Author(s):  
Timothy DelCurto ◽  
Sam Wyffels
Keyword(s):  
Beef Cattle ◽  
Statistical Inference ◽  
Multiple Regression ◽  
Feed Intake ◽  
Cattle Production ◽  
Modeling Tools ◽  
Activity Monitors ◽  
Multiple Observations ◽  
Wide Range ◽  
Beef Cattle Production

Abstract Designing research for beef cattle production in rangeland environments is an ongoing challenge for researchers worldwide. Specifically, creating study designs that mirror actual production environments yet have enough observations for statistical inference is a challenge that often hinders researchers in efforts to publish their observations. Numerous journals will accept “case study” or observational results that lack valid statistical inference. However, these journals are limited in number and often lack impact. Approaches are available to gain statistical inference by creating multiple observations within a common group of animals. Approaches to increasing statistical observations will be discussed in this presentation. Modeling animal behavior and performance on extensive rangeland landscapes is commonly practiced in wildlife ecology and, more recently, has been published in Animal Science journals. Additionally, new technology has made it possible to apply treatments (e.g., supplementation studies) to individual animals on extensive environments where large, diverse herds/flocks of cattle/sheep are managed as a single group. Use of individual animal identification (EID) and feed intake technology has opened a wide range of research possibilities for beef cattle production systems research in rangeland environments. Likewise, global positioning system (GPS) collars and activity monitors have created the opportunity to evaluate animal grazing behavior in remote and extensive landscapes. The use of multiple regression models to evaluate resource use in extensive environments will, in turn, help managers optimize beef cattle production and the sustainable use of forage/rangeland resources. Embracing new technologies such as GPS, activity monitors, EID tags, and feed intake monitors combined with multiple regression modeling tools will aid in designing and publishing beef cattle production research in extensive rangeland environments.

scholarly journals Prediction Models for the Estimation of Soil Moisture Content

2011 ◽  
Author(s):  
Swathi Gorthi ◽  
Huifang Dou
Keyword(s):  
Soil Moisture ◽  
Moisture Content ◽  
Soil Moisture Content ◽  
Prediction Models ◽  
Recursive Partitioning ◽  
Machine Learning Techniques ◽  
Linear Regression Models ◽  
Remotely Sensed Data ◽  
Modeling Tools ◽  
Wide Range

This paper provides a survey on different kinds of prediction models developed for the estimation of soil moisture content of an area, using empirical information including meteorological and remotely sensed data. The different models employed extend over a wide range of machine learning techniques starting from Basic Linear Regression models through models based on Bayesian framework, Decision tree learning and Recursive partitioning, to the modern non-linear statistical data modeling tools like Artificial Neural Networks. The fundamental mathematical backgrounds, pros and cons, prediction results and efficiencies of all the models are discussed.

Surface bypass as a means of protecting downstream-migrating fish: lack of standardised evaluation criteria complicates evaluation of efficacy

2018 ◽  
Vol 69 (12) ◽  
pp. 1882 ◽  
Author(s):  
Elena-Maria Klopries ◽  
Zhiqun Daniel Deng ◽  
Theresa U. Lachmann ◽  
Holger Schüttrumpf ◽  
Bradly A. Trumbo
Keyword(s):  
Performance Studies ◽  
Pearson Correlation ◽  
Evaluation Criteria ◽  
Fish Passage ◽  
Performance Criteria ◽  
Design Criteria ◽  
Good Surface ◽  
Wide Range ◽  
Student’S T ◽  
Meta Analyses

Surface bypasses are downstream migration structures that can help reduce hydropower-induced damage to migrating fish. However, no comprehensive design concept that facilitates good surface bypass performance for a wide range of sites and species is available. This is why fish-passage efficiencies at recently built bypass structures vary widely between 0% and up to 97%. We reviewed 50 surface bypass performance studies and existing guidelines for salmonids, eels and potamodromous species to identify crucial design criteria for surface bypasses employed in North America, Europe and Australia. Two-tailed Pearson correlation of bypass efficiency and bypass design criteria shows that bypass entrance area (r=0.3300, P=0.0036) and proportion of inflow to the bypass (r=0.3741, P=0.0032) are the most influential parameters on bypass efficiency. However, other parameters such as guiding structures (P=0.2181, ordinary Student’s t-test) and trash-rack spacing (r=–0.1483, P=0.3951, Spearman correlation), although not statistically significant, have been shown to have an effect on efficiency in some studies. The use of different performance criteria and efficiency definitions for bypass evaluation hampers direct comparison of studies and, therefore, deduction of design criteria. To enable meta-analyses and improve bypass design considerations, we suggest a list of standardised performance parameters for bypasses that should be considered in future bypass-performance studies.

scholarly journals Dual Coordinate Descent Algorithms for Efficient Large Margin Structured Prediction

2013 ◽  
Vol 1 ◽  
pp. 207-218 ◽  
Author(s):  
Ming-Wei Chang ◽  
Wen-tau Yih
Keyword(s):  
Named Entity Recognition ◽  
Weight Vector ◽  
Coordinate Descent ◽  
Structured Prediction ◽  
Entity Recognition ◽  
Stochastic Gradient Descent ◽  
Support Vector ◽  
Modeling Tools ◽  
Wide Range ◽  
Dual Coordinate Descent

Due to the nature of complex NLP problems, structured prediction algorithms have been important modeling tools for a wide range of tasks. While there exists evidence showing that linear Structural Support Vector Machine (SSVM) algorithm performs better than structured Perceptron, the SSVM algorithm is still less frequently chosen in the NLP community because of its relatively slow training speed. In this paper, we propose a fast and easy-to-implement dual coordinate descent algorithm for SSVMs. Unlike algorithms such as Perceptron and stochastic gradient descent, our method keeps track of dual variables and updates the weight vector more aggressively. As a result, this training process is as efficient as existing online learning methods, and yet derives consistently better models, as evaluated on four benchmark NLP datasets for part-of-speech tagging, named-entity recognition and dependency parsing.

scholarly journals Creation of Similarity Requirement with Field Equations in Steel Bearing Systems

2018 ◽  
Vol 12 (1) ◽  
pp. 134-149
Author(s):  
Ahmet C. Altunışık ◽  
Ebru Kalkan ◽  
Hasan Basri Başağa
Keyword(s):  
Experimental Studies ◽  
Experimental Tests ◽  
Structural Behavior ◽  
Influence Diagrams ◽  
Finite Element Models ◽  
Cantilever Beams ◽  
Field Equations ◽  
Similarity Relationships ◽  
Scaled Models ◽  
Scale Types

Introduction: This paper aimed to determine the structural behavior of steel bearing systems by creating similarity conditions with field equations. Scaling plays a crucial role in designing experiments aimed at understanding the structural behavior of systems where experimental studies are difficult to perform due to huge structures in the profession of engineering field. Scaling can be performed by using dimensional analysis or by normalizing differential equations that describe the dynamics of the system. If a model and prototype are dimensionally similar, it is possible to estimate experimental results from model to prototype. Methods: The use of scaled models is common on engineering applications because these models allow conducting experimental tests without the need of a physical system (i.e. prototype) to be constructed. Considering these advantages mentioned in this study, it is formed a similarity relation between prototype and scaled models of different steel bearing systems is established. Similarity relationships between systems are created by field equations. As an example, column and cantilever beams were selected and 1/2 and 1/4 scale procedure was applied. Results and Conclusion: The results obtained by finite element models in SAP2000 program for each system were compared with analytical results. The analysis results were examined and it was determined that scale factors are constant depending on scale types for different bearing systems. In addition, the influence diagrams of the systems were also examined and it was observed that the scale factor was fixed.

Parametric Modeling as a Tool of Analysis and Interpretation of Built Heritage

2019 ◽  
pp. 366-402
Author(s):  
Marco Vitali ◽  
Roberta Spallone ◽  
Francesco Carota
Keyword(s):  
Parametric Modeling ◽  
Design Criteria ◽  
Architectural Heritage ◽  
Modeling Tools ◽  
The Past ◽  
Built Heritage ◽  
Digital Modeling ◽  
Modeling Software

In this chapter are developed some considerations about the heuristic potentialities of parametric digital modeling as a tool for analyzing and interpreting architectural heritage. Observed that the parametric thinking in architecture could be recognized almost from the origin, new parametric modeling software allows to verify the design criteria of the past. On the basis of previous studies on Baroque vaulted atria, this chapter develops, using parametric modeling tools, a real vocabulary of shapes and their possible combinations, suggested by the architectural literature of the time and the survey of about seventy atria in Turin. This method has been tested on the case study of the lunettes dome in the atrium of Palazzo Carignano.

Structures and Function of Remora Adhesion

2013 ◽  
Vol 1498 ◽  
pp. 159-168 ◽  
Author(s):  
Jason H. Nadler ◽  
Allison J. Mercer ◽  
Michael Culler ◽  
Keri A. Ledford ◽  
Ryan Bloomquist ◽  
...  
Keyword(s):  
Finite Element ◽  
Finite Element Models ◽  
Shear Load ◽  
Tissue Properties ◽  
X Ray ◽  
Drag Forces ◽  
Suction Cup ◽  
Wide Range ◽  
Hierarchical Nature ◽  
And Function

ABSTRACTRemoras (echeneid fish) reversibly attach and detach to marine hosts, almost instantaneously, to “hitchhike” and feed. The adhesion mechanisms that they use are remarkably insensitive to substrate topology and quite different from the latching and suction cup-based systems associated with other species at similar length scales. Remora adhesion is also anisotropic; drag forces induced by the swimming host increase adhesive strength, while rapid detachment occurs when the remora reverses this shear load. In this work, an investigation of the adhesive system’s functional morphology and tissue properties was carried out initially through dissection and x-ray microtomographic analyses. Resulting finite element models of these components have provided new insights into the adaptive, hierarchical nature of the mechanisms and a path toward a wide range of engineering applications.

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