bluuebunny/crossref_metadata_2025 huggingface dataset:
Autonomy Science and Systems Project Report
Authors: Brand Howard , Diekel Max , Liu Yuhao , Sattiraju Mayukh , Segur-Mahadevaraja Ramraj
Published: July 2018

With the increase in automation and the advancement of robotic technologies, comes an increasingpush to incorporate automation into the development of self-driving vehicles. Many companies havedeveloped initiatives devoting resources to increasing the application of automation sciences to automotive technologies. The Autonomy Sciences and Systems course was offered on the Spring of 2017. This course engagedstudents into a survey of state-of-the art robotics algorithms found in research while introducing toolsused to develop these technologies. The robotic operating system (ROS) was the main programming environment used to perform many of the course activities as well as the final project. This is a report documenting Team A's implementation of the final project with associated instructions and tutorials.
Is it time to adjust the sails? On the philosophy of structural reliability
Authors: Breitung Karl Wilhelm
Published: July 2018

The paper studies some gestalt switches in structural reliability. Then it makes a point for looking at the problem from a structuralist view. It further shows that subset simulation is a wrong approach for failure probability computation. A new method for it, called onion concept, is proposed.
Information System Design Of Goods Stock Using Framework For The Application Of System Thinking (FAST) Method (Case Study CV. Aneka Mandiri Lestari)
Authors: Sutedi Sutedi
Published: July 2018

CV. Aneka Mandiri Lestari constitutes resulting company earth. Current stock management processes that are running in the CV. Aneka Mandiri Lestari is still done in a simple to use computer tool. However, systems that use has not been specifically designed for the purposes. Some data related to the management of the stocks on CV. Aneka Mandiri Lestari still organised and recorded using book so difficult in the process serving and reporting information associated. Information systems Design of goods stock It is a system that can handle the problem of inventory items, including the recording of incoming goods, against goods that come out, the purchase of raw materials, goods that are in the warehouse, and also reporting. This information system architecture using the FAST (Framework for the Application of System Technique) method. Based on the results of the functional testing, obtained that 100% of the system is valid. While the results from testing the usability, for the ease of use factor of 65% and activities of the experiment system based on scenario 85.5% of respondents strongly agree to ease of use this system. So from the test results it can be concluded that by using this stock information system can make CV Aneka Mandiri Lestari in the running of its business processes and systems that have been built can be received by users. To assist in processing stock items and sales generated a new system design, i/o design, database design and systems built using Visual Basic.Net The results of the data processing system of the manufacture and distribution of stock this stuff makes it easy for employees to entry, fix (edit), erase (delete), and search (searching) data reception and spending on goods, so as to facilitate in reporting revenue and expenditure items
The effect of out-of-plane deformation on ligament surface strain measurements
Authors: Rahman Hafizur , Kersh Mariana E
Published: July 2018

The characterization of biological tissues depends on accurate measurements of deformation and strain, but less attention has been given to the role of out-of-plane deformation in ligament strain. The objective of this study was to investigate the influence of out-of-plane deformation on surface strain measurements in healthy and damaged ligaments. Tensile tests on five porcine posterior cruciate ligaments (PCL) were performed before and after damage using the femur – PCL – tibia construct. Damage was simulated by loading the ligament to its maximum force capacity. Digitized surface dots were tracked using an optical motion capture system. The transverse strain (ε_xx), longitudinal strain (ε_yy), and shear strain (γ_xy) distributions on the ligament surface were obtained for the control and damaged states using two-dimensional (2d) strain and three-dimensional (3d) strain measurements. There was no significant difference between the 2d and 3d strains in the control state for all three strains. However, the value and location of the peak strain values (tensile and compressive) in ligament surfaces did change. The 2d peak tensile strain was both over and under-estimated, compared to 3d strain, when out of plane deformation was included for ε_xx and ε_yy; but consistently overestimated for positive γ_xy. The percentage of damaged regions, quantified as a loss in tensile strength, after damage was overpredicted by 2d strain for ε_yy. Care should be taken when using 2d surface strain as peak values and local damage is sensitive to out-of-plane deformation.
Tissue Mechanics as a Predictor for Saccular Aneurysm Rupture
Authors: Berg Devin R.
Published: July 2018

Intracranial saccular aneurysms are highly prevalent in the western world. Although rupture occurs in a only small number of aneurysms, the mortality rate associated with this event is significant. Thus due to the high risk associated with rupture and the risks of rupture repair surgery it is desirable to be able to predict whether a specific aneurysm is likely to rupture or will instead stabilize. Research into aneurysm development has shown that the response cannot be quantified with simple mechanical models alone. It is also necessary to consider growth and remodeling of the tissue constituents and complex geometric stress concentrators as well. Through the production of complete aneurysm development models, it may be possible to enable accurate prediction of aneurysm rupture based on clinically observable measures such as aneurysm geometry and growth rates. This would help to minimize the use of risky and unnecessary repair surgeries for aneurysms which would ultimately stabilize naturally.
MultiDIC: an Open-Source Toolbox for Multi-View 3D Digital Image Correlation
Authors: Solav Dana , Moerman Kevin Mattheus , Jaeger Aaron M. , Genovese Katia , Herr Hugh
Published: July 2018

Three-dimensional Digital Image Correlation (3D-DIC) is a non-contact optical-numerical technique for evaluating the dynamic mechanical behavior at the surface of structures and materials, including biological tissues. 3D-DIC can be used to extract shape and full-?eld displacements and strains with high resolution, at various length scales. While various commercial and academic 3D-DIC software exist, the field lacks 3D-DIC packages which offer straightforward calibration and data-merging solutions for multi-view analysis, which is particularly desirable in biomedical applications. To address these limitations, we present MultiDIC, an open-source MATLAB toolbox, featuring the first 3D-DIC software specifically dedicated to multi-view setups. MultiDIC integrates robust two-dimensional subset-based DIC software with specially tailored calibration procedures, to reconstruct the dynamic behavior of surfaces from multiple stereo-pairs. MultiDIC contains novel algorithms to automatically merge meshes from multiple stereopairs, and to compute and visualize 3D shape and full-?eld motion, deformation, and strain. User interfaces provide capabilities to perform 3D-DIC analyses without interacting with MATLAB syntax, while standalone functions also allow proficient MATLAB users to write custom scripts for specific experimental requirements. This paper discusses the challenges underlying multi-view 3D-DIC, details the proposed solutions, and describes the algorithms implemented in MultiDIC. The performance of MultiDIC is tested using a low-cost experimental system featuring a 360-deg 12-camera setup. The software and system are evaluated using measurement of a cylindrical object with known geometry subjected to rigid body motion and measurement of the lower limb of a human subject. The findings confirm that shape, motion, and full-field deformations and strains can be accurately measured, and demonstrate the feasibility of MultiDIC in multi-view in-vivo biomedical applications.
Digital image correlation and finite element modelling as a method to determine mechanical properties of human soft tissue in vivo
Authors: Moerman Kevin Mattheus
Published: July 2018

The mechanical properties of human soft tissue are crucial for impactbiomechanics, rehabilitation engineering and surgical simulation.Validation of these constitutive models using human data remainschallenging and often requires the use of non-invasive imaging and inversefinite element (FE) analysis. Post processing data from imaging methodssuch as tagged magnetic resonance imaging (MRI) can be challenging. DigitalImage Correlation (DIC) however is a relatively straightforward imagingmethod and thus the goal of this study was to assess the use of DIC incombination with FE modelling to determine the bulk material properties ofhuman soft tissue. Indentation experiments were performed on a silicone gelsoft tissue phantom. A two camera DIC setup was then used to record the 3Dsurface deformation. The experiment was then simulated using a FE model.
Effects of oil and water contamination on natural gas engine combustion processes
Authors: Menon Shyam , Ganti Himakar , Niemeyer Kyle Evan , Hagen Christopher
Published: July 2018

Abundant availability and potential for lower emissions are drivers for increased utilization of natural gas in automotive engines for transportation applications. A novel bimodal engine has been developed that allows on-board refueling of natural gas by utilizing the engine as a compressor. Engine compression however, results in altering the initial state of the natural gas. Increase in temperature and addition of oil are two key effects attributed to the onboard refueling process. A secondary effect is the presence of water in the natural gas supply line. This study investigates the effect of upstream conditions of natural gas on three parameters: autoignition temperature, ignition delay, and laminar flame speed. These parameters play key roles in the engine combustion process. Parametric studies are conducted by varying the initial mixture temperature, water, and oil content in the fuel. The studies utilize numerical simulations conducted with detailed chemistry for natural gas with n-heptane used as a surrogate for oil. Water addition to natural gas at 1–5% by volume did not result in any major changes in the combustion processes, other than a slight reduction in laminar flame speeds. Oil addition of 1–5% by volume reduced autoignition temperature by 5–10% and ignition delay by 27–95% depending on the initial temperature. Sensitivity analysis showed that this was likely due to decrease in the sensitivity of two recombination reactions with oil addition. Evolution profiles of key radical species also showed increasing mole fraction of the hydroperoxy radical at lower temperature that likely aids in reducing the ignition delay. Oil addition resulted in a relatively small increase in the laminar flame speed of 1.7% along with an increase in the adiabatic flame temperature. These results help inform the combustion process and performance to be expected from the bimodal engine.
ET-332 Project Presentation Slides
Authors: Kmieciak David
Published: July 2018

These slides represent the project that we did for creating a mechanical system that would be placed onto a pre-existing hydroelectric generator system.
On the Importance of 3D, Geometrically Accurate, and Subject-Specific Finite Element Analysis for Evaluation of in-Vivo Soft Tissue Loads
Authors: Moerman Kevin Mattheus , van Vijven Marc , Solis Leandro R. , van Haaften Eline E. , Loenen Arjan C.Y. , Mushahwar Vivian K. , Oomens Cees W.J.
Published: July 2018

Pressure ulcers are a type of local soft tissue injury due to sustainedmechanical loading and remain a common issue in patient care. People withspinal cord injury (SCI) are especially at risk of pressure ulcers due toimpaired mobility and sensory perception. The development of load improvingsupport structures relies on realistic tissue load evaluation e.g. usingfinite element analysis (FEA). FEA requires realistic subject-specificmechanical properties and geometries. This study focuses on the effect ofgeometry. MRI is used for the creation of geometrically accurate models ofthe human buttock for three able-bodied volunteers and three volunteerswith SCI. The effect of geometry on observed internal tissue deformationsfor each subject is studied by comparing FEA findings for equivalentloading conditions. The large variations found between subjects confirmsthe importance of subject-specific FEA.
Combining Multi-body Dynamics and Potential Flow Simulation Methods to Model a Wave Energy Converter
Authors: McComb Christopher , Lawson Michael , Yu Yi-Hsiang
Published: July 2018

Numerical simulations that predict the dynamics and performance of wave energy converters (WECs) require the simulation of complex fluid-structure interactions between a WEC device and the wave environment. Navier- Stokes computational fluid dynamics (CFD) simulations and fully time-domain boundary integral equation methods (BIEMs) can be coupled with multi-body dynamics solvers to simulate these problems. However, the computational resources that are required to perform these types of high-fidelity simulations are significant, precluding the use of CFD and time-domain BIEM for design optimization. One method for reducing the numerical complexity of WEC simulations is to model the hydrodynamics using frequency- domain simulations, while model the dynamic motion of the WEC device in the time-domain using multi-body dynamics methods.The primary objective of the work presented herein is to develop such a numerical tool using the multi-body solver SimMechanics and the frequency-domain hydrodynamics code WAMIT. The numerical tool was developed so that WEC devices comprised of arbitrarily connected bodies, power-take-off (PTO) systems, and mooring systems can be simulated in operational sea states, where the wave environment can be modeled under linear assumptions. The remainder of this paper describes the development and verification of the numerical tool.
A review on the artificial intelligence algorithms for the recognition of Activities of Daily Living using sensors in mobile devices
Authors: Pires Ivan Miguel Serrano , Garcia Nuno M. , Pombo Nuno , Flórez-Revuelta Francisco , Zdravevski Eftim , Spinsante Susanna
Published: July 2018

The automatic recognition of Activities of Daily Living (ADL) with a multi-sensor mobile device that can acquire different types of sensors' data, and rely on the use of machine learning methods to handle the recognition of ADL with reliable accuracy. This paper focuses on the literature review of the existing methods to make the identification of ADL in order to assess the efficiency of the different methods for the identification of ADL and their environments using off-the-shelf mobile devices. Data acquired from several sensors can be used for the identification of ADL, where the motion, magnetic and location sensors handle the recognition of activities with movement, and the acoustic sensors handle the recognition of activities related with the environment. Therefore, the main purpose of this study is to present a review of the machine learning methods already used on this field, relating them with the accuracy and number of ADL recognized.
Framework for Incorporating Downscaled Climate Output into Existing Engineering Methods: Application to Precipitation Frequency Curves
Authors: Cook Lauren M. , Anderson Christopher J. , Samaras Constantine
Published: July 2018

To improve the resiliency of designs, particularly for long-lived infrastructure, current engineering practice must be updated to incorporate a range of future climate conditions that are likely to be different from the past. However, a considerable mismatch exists between climate model outputs and the data inputs needed for engineering designs. The present work provides a framework for incorporating climate trends into design standards and applications, including: selecting the appropriate climate model source based on the intended application, understanding model performance and uncertainties, addressing differences in temporal and spatial scales, and interpreting results for engineering design. The framework is illustrated through an application to depth-duration-frequency curves, which are commonly used in stormwater design. A change factor method is used to update the curves in a case study of Pittsburgh, PA. Extreme precipitation depth is expected to increase in the future for Pittsburgh for all return periods and durations examined, requiring revised standards and designs. Doubling the return period and using historical, stationary values may enable adequate design for short duration storms; however, this method is shown to be insufficient to enable protective designs for larger duration storms.
An r-h Adaptive Kinematic Approach for 3D Limit Analysis
Authors: Shi Zhenhao , Hambleton James
Published: July 2018

This paper explores a pathway for increasing efficiency in numerical 3D limit analysis through r-h adaptivity, wherein nodal positions (r) and element lengths (h) are successively refined. The approach uses an iterative, nested optimization procedure involving three steps: (1) determination of velocities for a fixed mesh of rigid, translational elements (blocks) using second-order cone programming; (2) adaptation of nodal positions using non-linear optimization (r adaptivity); and (3) subdivision of elements based on the magnitude of the velocity jumps (h adaptivity). Examples show that the method can compute reasonably accurate limit loads at relatively low computational cost.
Stochastic modeling of knee arthrometry for Intact, partial and ruptured ACL
Authors: Rahemi Hadi , Farahmand Farzam , Parnianpour Mohammad
Published: July 2018

Knee pain and injuries are very common in athletes. Anterior cruciate ligament (ACL) injury is one of the most important reason of knee acute and chronic pains. As ACL plays a significant role in knee stability and due to amount of reported ACL related injuries, much effort has been placed on finding proper and on time diagnosis and treatment of these injuries. Arthrometric methods are the most non-invasive reliable diagnosis option; however they are trusted to distinguish partial injuries from intact joint and instead expensive and more time consuming imaging diagnosis techniques (i.e MRI) are used. Arthromery results can be investigated by quantifying the tests using computer simulations; so far few studies have been conducted toward this goal.In this study a two dimensional finite flement (FE) model of knee joint under standard arthrometry state (by a KT-2000 arthrometer) was built. This model was then used to evaluate the effect of precise modeling of tibiofemoral contact-surface geometry with considering flexible articular cartilage in the joint. The results revealed that exact modeling of the contact geometry highly influences the simulation results. In the next step, the built model was used in a stochastic modeling with the experimental data obtained from literature in order to simulate a real diagnosis circumstance and to provide a statistical comparison between seven different levels of ACL injury. The result of this simulation shows that although arthrometry may be able to distinguish partial injuries from intact in most cases leading to less ACLD with appropriate treatment, but it is hard to tell anything about the level of injury. To prevent the costs of imaging techniques moving towards the introduction of new measuring methods (or newly defined identifiers) or using intelligent processing of currently obtained data is suggested.
Image Registration Techniques: A Survey
Authors: Nag Sayan
Published: July 2018

Image Registration is the process of aligning two or more images of the same scene with reference to a particular image. The images are captured from various sensors at different times and at multiple view-points. Thus to get a better picture of any change of a scene/object over a considerable period of time image registration is important. Image registration finds application in medical sciences, remote sensing and in computer vision. This paper presents a detailed review of several approaches which are classified accordingly along with their contributions and drawbacks. The main steps of an image registration procedure are also discussed. Different performance measures are presented that determine the registration quality and accuracy. The scope for the future research are presented as well.
Bounding Surface Elasto-Viscoplasticity: A General Constitutive Framework for Rate-Dependent Geomaterials
Authors: Shi Zhenhao , Hambleton James , Buscarnera Giuseppe
Published: July 2018

A general framework is proposed to incorporate rate and time effects into bounding surface (BS) plasticity models. For this purpose, the elasto-viscoplasticity (EVP) overstress theory is combined with bounding surface modeling techniques. The resulting constitutive framework simply requires the definition of an overstress function through which BS models can be augmented without additional constitutive hypotheses. The new formulation differs from existing rate-dependent bounding surface frameworks in that the strain rate is additively decomposed into elastic and viscoplastic parts, much like classical viscoplasticity. Accordingly, the proposed bounding surface elasto-viscoplasticity (BS-EVP) framework is characterized by two attractive features: (1) the rate-independent limit is naturally recovered at low strain rates; (2) the inelastic strain rate depends exclusively on the current state. To illustrate the advantages of the new framework, a particular BS-EVP constitutive law is formulated by enhancing the Modified Cam-clay model through the proposed theory. From a qualitative standpoint, this simple model shows that the new framework is able to replicate a wide range of time/rate effects occurring at stress levels located strictly inside the bounding surface. From a quantitative standpoint, the calibration of the model for over-consolidated Hong Kong marine clays shows that, despite the use of only six constitutive parameters, the resulting model is able to realistically replicate the undrained shear behavior of clay samples with OCR ranging from 1 to 8, and subjected to axial strain rates spanning from 0.15%/hr to 15%/hr. These promising features demonstrate that the proposed BS-EVP framework represents an ideal platform to model geomaterials characterized by complex past stress history and cyclic stress fluctuations applied at rapidly varying rates.
Towards the Rapid Design of Engineered Systems Through Deep Neural Networks
Authors: McComb Christopher
Published: July 2018

The design of a system commits a significant portion of the final cost of that system. Many computational approaches have been developed to assist designers in the analysis (e.g., computational fluid dynamics) and synthesis (e.g., topology optimization) of engineered systems. However, many of these approaches are computationally intensive, taking significant time to complete an analysis and even longer to iteratively synthesize a solution. The current work proposes a methodology for rapidly evaluating and syn- thesizing engineered systems through the use of deep neural networks. The proposed methodology is applied to the analysis and synthesis of offshore structures such as oil platforms. These structures are constructed in a ma- rine environment and are typically designed to achieve specific dynamics in response to a known spectrum of ocean waves. Results show that deep learning can be used to accurately and rapidly synthesize and analyze off- shore structure.
A Sustainable Design Repository for Influencing the Eco-Design of New Consumer Products
Authors: Ferrero Vincenzo , Wisthoff Addison , Huynh Tony , Ross Donovan , DuPont Bryony
Published: July 2018

Engineering designers are constantly seeking ways to be more innovative, decisive, and informed of emerging technologies in the design of consumer products. Design tools, such as functional decomposition, morphology, and Pugh charts help stimulate the design process. However, many early-design-phase design tools require designers to have experiential or empirical design knowledge; many of these approaches are intractable for use by novice designers or designers with little experience designing for certain new objectives. In contrast to these current tools, using repositories to store product design information can provide additional and extensive design knowledge to the global design community. Using repository data—and resultant data-driven design approaches—in the design of new products can be especially impactful for DfX design objectives such as product sustainability, about which many engineering designers have limited knowledge. In this paper, we discuss the creation of a sustainable design repository – a collection of product data that includes environmental impact information. Through the initialization of a 47-product repository case study, we seek to create data-driven design processes that can influence designers to consider environmental sustainability. We found, for example, that in the first year of a product’s life, 29-64% of the environmental impact occurs during the product’s use phase, and that uncertainty in input data (such as component manufacturing location and disposal method) can significantly contribute to environmental impact variation. The creation of this sustainable design repository highlights the need for the consideration of input uncertainties when conducting environmental impact analysis. Additionally, the repository has also been used in tandem with machine learning to understand design decisions that lead to more sustainable products. This sustainable design repository enables subsequent data-driven design research in that it provides a large dataset on which machine learning approaches can operate.
Short-Term Load Forecasting of Active and Reactive Powers in Small Scales using LASSO-Integrated Nonlinear Autoregressive Neural Networks
Authors: Zhang Guanchen
Published: July 2018

Short-term load forecasting (STLF) is important for power system planning and optimization, especially in the dynamic environment of smart grid. Traditional load forecasting is implemented at substation levels to predict the upcoming active power and optimal system settings. In more advanced smart grid applications, e.g. the Volt-VAR Control, small-scale load forecasting opens up new opportunities in coordinating distributed resources such as distributed generation (DG) with utilities' efficiency missions. This paper proposes a STLF approach for small residential blocks with 10-12 households. The Nonlinear Autoregressive Neural Network (NAR-NN) is employed to predict hour-ahead active (P) and reactive (Q) powers with a moving window of training data. The regressor shrinkage technique, LASSO, is used to improve the selection of the regressors in the NAR-NN model by removing insignificant input features. The results show the forecasting performance could be enhanced by ~20% comparing to feed-forward Artificial Neural Networks (ANNs). The improvement in forecasting both P & Q could accommodate new smart grid applications in small scales.
ETECH-100 project
Authors: Ewings Jordan
Published: July 2018

Automated blinds for limited mobility people
Combinational processing of 3D printing and electrospinning of hierarchical poly(lactic acid)/gelatin-forsterite scaffolds as a biocomposite: Mechanical and biological assessment
Authors: Naghieh Saman , Foroozmehr Ehsan , Badrossamay Mohsen , Kharaziha Mahshid
Published: July 2018

In this research, hierarchical scaffolds including poly(lactic acid) (PLA) micro struts and nanocomposite gelatin-forsterite fibrous layers were developed using fused deposition modeling (FDM) and electrospinning (ES), respectively. Briefly, geometrically various groups of pure PLA scaffolds (interconnected pores of 230 to 390 μm) were fabricated using FDM technique. After mechanical evaluation, ES technique was utilized to develop gelatin-forsterite nanofibrous layer. To study these scaffolds, scanning electron microscopy (SEM), Fourier transform infrared spectroscopy, and uniaxial compression tests were performed. Furthermore, bioactivity of the scaffolds was evaluated by immersing in the simulated body fluid and apatite formation on the surface of the scaffolds was investigated. Results depicted that elastic modulus of PLA/gelatin-forsterite scaffolds, fabricated by a combinational approach, was significantly higher than that of pure one (about 52%). SEM images showed the formation of calcium phosphate-like precipitates on the surface of these scaffolds, confirming the effects of nanocomposite fibrous layer on the improved bioactivity of the scaffolds. Regarding the obtained biological as well as mechanical properties, the developed bio-composite scaffolds can be used as a biocompatible candidate for bone tissue regeneration.
Eliciting Configuration Design Heuristics with Hidden Markov Models
Authors: McComb Christopher , Cagan Jonathan , Kotovsky Kenneth
Published: July 2018

Configuration design problems, characterized by the selection and assembly of components into a final desired solution, are common in engineering design. Although a variety of theoretical approaches to solving configuration design problems have been developed, little research has been conducted to observe how humans naturally attempt to solve such problems. This work mines the data from a cognitive study of configuration design to extract helpful design heuristics. The extraction of these heuristics is automated through the application of hidden Markov models. Results show that, for a truss configuration problem, designers proceed through four procedural states in solving configuration design problems, transitioning from topology design to shape and parameter design. High-performing designers are distinguished by their opportunistic tuning of parameters early in the process, enabling a heuristic search process similar to the A* search algorithm.
Feasibility of MR guided Lung Cancer ablation using saline flooded lung
Authors: Lesser Thomas , Wolfram Frank
Published: July 2018

Lung cancer is the most mortal tumor entity, which is preferably treated by surgical resection. Alternative ablation methods (rf, litt) haven't been clinically established by their invasivity. HIFU is not considered as an treatment option in lung due to the air content. Lung flooding generates gas free saline parenchyma compound without damaging the lung. Recently our work showed the usability of ultrasound guided lung cancer hifu ablation. In contrast to ultrasound, MRg-FUS would improve the radically of treatment. Toward the first human pilot, the lung flooding process needs to be optimized for operating in MR environment. Further the usability of MR imaging and thermometry in flooded lung haven't been investigated so far. This research project is aimed to provide fundamental information describing the usability and limitations of MRg-FUS treatment of lung cancer using lung flooding.
Feasibility of ablating brain regions adjacent to the optic nerve while retaining nerve function with focused ultrasound combined with an ultrasound contrast agent
Authors: McDannold Nathan , Zhang Yongzhi , Power Chanikarn , Vykhodtseva Natalia
Published: July 2018

The goal of this work will be to investigate the safety of ablating tissue with focused ultrasound adjacent to peripheral nerves or to nerve tracts in the brain. We propose experiments in which we ablate tissue adjacent to the sciatic nerve and the optic nerve/tract in the brain and then evaluate nerve function. These experiments are motivated by two promising targets for focused ultrasound treatment where critical nerve structures need to be protected: prostate cancer and brain tumors. If successful, this work will allow good surgical margins, thereby improving the effectiveness of focused ultrasound surgery and reducing local recurrence.
Modulated focused ultrasound for treatment of de-myelinating axons in multiple sclerosis lesions – pilot animal studies
Authors: Mourad Pierre D.
Published: July 2018

Multiple sclerosis is a debilitating disease whose symptoms arise from de-myelination of axons within brain tissue with an attendant loss of central and peripheral function. We among others have shown that transcranial delivery of pulsed focused ultrasound (pFU) can non-destructively activate central neural circuits. Others have shown enhanced myelin remodeling of axons activated by laser light in an optogenetic mouse model. We hypothesize that pFU activation of axons within MS lesions in a rodent model will decrease their de-myelination and increase their re-myelination. If successful, this non-invasive therapy may lead to rapid advancements in the treatment of MS and other de-myelinating neurological disorders.
Microbubble -Enhanced FUS for more Efficient Therapy for Uterine Fibroids
Authors: Matsunaga Terry O. , Unger Evan C.
Published: July 2018

The goal of this research project will be to incorporate microbubbles intravascularly in conjunction with focused ultrasound (FUS) to decrease the time of FUS therapy of uterine fibroids. We believe that we can significantly reduce treatment times while also decreasing the mechanical energy required for tissue ablation. In addition, the use of microbubbles should provide for more precise tissue ablation of the fibroid such that viable tissue along the fibroid margins will be spared.
Analisis nilai ekonomi hutan mangrove di Kabupaten Muna (Studi kasus di Desa Labone Kecamatan Lasalepa dan Desa Wabintingi Kecamatan Lohia)
Authors: Rakhfid Abdul , Rochmady Rochmady
Published: July 2018

Penelitian dilaksanakan bulan Juni–Desember 2013 di Desa Labone, Kecamatan Lasalepa dan Desa Wabintingi, Kecamatan Lohia, Kabupaten Muna tentang nilai ekonomi hutan dengan pendekatan nilai pasar menggunakan instrumen kuisioner dan wawancara mendalam. Data pengukuran vegetasi hutan dan nilai ekonomi dianalisis secara deskriptif. Hasil analisis menunjukkan nilai penutupan 18,347%, 27,932% dan 3,766% (Ci<50%). Hutan mangrove di Desa Wabintingi, nilai penutupan 104,909%, 25,480% dan 37,691 (Ci>75%). Kondisi hutan mangrove Desa Wabintingi lebih baik dibanding hutan mangrove Desa Labone. Jenis pemanfaatan sumberdaya hutan mangrove di Desa Labone yakni penambangan pasir, pengambilan kayu bakar komersial, pengrajin atap nipa, penangkapan kepiting, ikan dan pengumpulan kerang-kerangan. Sementara di Desa Wabintingi yakni pengrajin atap daun nipa, penangkapan kepiting, udang, ikan, dan pengumpulan kepiting. Manfaat tidak langsung berupa penjaga abrasi pantai, siklus makanan dan penyedia bahan organik, dan sebagai penyerap karbon. Nilai ekonomi Desa Labone mencapai Rp.131.076.911,- per hektar per tahun atau sebesar Rp.2.836.335.023,- per tahun dengan sumbangan terbesar bersumber dari manfaat tidak langsung sebesar 95,10%, manfaat pilihan 2,88%, manfaat keberadaan 1,57% dan manfaat langsung 0,45%. Sementara nilai ekonomi Desa Wabintingi mencapai Rp.135.116.100,- per hektar per tahun, dengan sumbangan terbesar bersumber dari manfaat langsung aktual 63,57%, manfaat tidak langsung 34,55%, manfaat keberadaan 1,78% dan manfaat pilihan 0,10%.
KAJIAN DISTRIBUSI SPASIAL SALINITAS AIRTANAH BERDASARKAN KANDUNGAN KLORIDA DI PULAU PRAMUKA, KEPULAUAN SERIBU, DKI JAKARTA
Authors: Cahyadi Ahmad , Marfai Muh Aris , Tivianton Tommy Andryan , Wulandari  , Hidayat Wahyu
Published: July 2018

Pulau Pramuka sebagai pulau sangat kecil (luas kurang dari 100 km2) memiliki karakteristik hidrologi yang unik. Airtanah pada pulau tersebut berbentuk lensa airtanah yang rawan mengalami pencemaran dan intrusi air laut. Wilayah yang sempit menyebabkan imbuhan airtanah sangat sedikit, sedangkan di sisi lain pertumbuhan penduduk dengan segala aktivitasnya menyebabkan kebutuhan air menjadi semakin banyak. Kondisi demikian menyebabkan kerawanan terjadinya intrusi air laut di Pulau Pramuka menjadi semakin tinggi. Penelitian ini bertujuan untuk mengetahui sebaran spasial salinitas airtanah di Pulau Pramuka berdasarkan sebaran spasial nilai klorida. Penelitian dilakukan dengan menganalisis kandungan klorida dalam airtanah yang diambil dari sumur. Hasil pengukuran kemudian dianalisis dengan analisis geostatistik untuk menentukan interpolasi yang paling sesuai. Hasil penelitian menunjukkan bahwa airtanah di Pulau Pramuka didominasi oleh air payau dan asin. Hal ini menunjukkan bahwa intrusi air laut telah menyusup ke lensa airtanah. Kondisi demikian menyebabkan pengelolaan airtanah di Pulau Pramuka mendesak untuk segera di lakukan, mengingat kerusakan airtanah akan sulit untuk dipulihkan kembali.
Food Hygiene and Sanitation of Street Vendors for Prevention Food Borne Disease in Jember University Area
Authors: Moelyaningrum Anita Dewi
Published: July 2018

Artikel telah terbit pada jurnal Spirulina Vol 2, No.1 Januari 2007. Pusat Penelitian Kesehatan. Lembaga Penelitian Universitas Jember. ISSN 1907-2171 Food hygiene and sanitation are the main points to control foodborne disease such as hepatitis A virus (HVA), diarrhea, cholera etc. the aim of this research is to learn the procedures food hygiene and sanitation of street vendors in Jember University area. The Descriptive study design was conducted on Jawa street and Kalimantan street. The samples were 20 street vendors, which was selected by simple random sampling technique. The result. The condition of water supply which used for cooked food was good in physics (90%), the water wasn`t cooked well (70%). Some cooked food was bought from places by bicycle (30%). Respondents did not have sewer (37%). They used to throw the solid waste into the bamboo basket (30%), hand washing before touched the food was done by 2% respondents, they used to smoke when cooking (35%), apron usually used to by 15% respondents. Protecting their hair with hair cover (veil) were 25% respondents, using hand towel (80%), the regular dishwashing without soap: plates (15%), glasses (40%), spoon and fork (40%). They use to dish the towels once per month (45%), dried the equipment and utensils by the towel (60%), protecting the equipment and utensils (15%), protecting cooked food (65%). There were flies in cooked food (30%). Conclusion.water supply, food processing, design sewer, food handler, sanitary equipment and utensils of street vendors still potential to cause foodborne disease. It needs to be educated about food service personnel in food hygiene and sanitation from government and students of public health Jember University.
Meningkatkan Pemahaman Siswa Tentang Sifat-sifat Perkalian Bilangan Cacah Menggunakan Tali Rafia dan Styrofoam Persegi
Authors: Asyhar Beni
Published: July 2018

This study aimed to improve students’ understanding on the properties of whole numbers multiplication using raffia and square Styrofoam in SDN of Gadang 2 Malang City. This study employed a classroom action research design (CAR). The subjects of this study were students in grade two. The interviewees consisted of five students, 1 high level student, 3 moderate level students, and 1 low level student. The subjects were chosen based on the result of preliminary test and a consideration that the researcher could communicate with them easily. The results of the study showed that: 1) learning by using raffia and square Styrofoam could improve students’ understanding on multiplication concept and properties of whole numbers multiplication with three stages of learning, namely: (i) the first stage involved informing the learning objectives, motivating the students about the importance of whole numbers multiplication, checking the background knowledge, and distributing visual learning aids and worksheet, (ii) the main stage included discussing and presenting the result of group discussion, and (iii) the last stage involved drawing conclusion and evaluation, and 2) the students had positive responses toward the learning process by using raffia and square Styrofoam on the multiplication concept and properties of whole numbers multiplication.
ESTETIKA TARI KUDA KEPANG DESA PENIRON KABUPATEN KEBUMEN
Authors: Kurniawati Esti , Indriyanto
Published: July 2018

Tari Kuda Kepang Desa Peniron Kabupaten Kebumen merupakan tari kerakyatan yang tumbuh dan tetap ada di desa peniron kecamatan Pejagoan Kabupeten Kebumen. Tari Kuda kepang desa Peniron memiliki nilai keindahan yang dapat dilihat dari aspek wujud, isi dan penampilan. Kajian pokok wujud yaitu aspek pertunjukan, isi yaitu suasana, gagasan, pesan ; penampilan yaitu bakat, ketrampilan, sarana. Tujuan dari penelitian ini yaitu mengetahui nilai keindahan yang terdapat pada Tari Kuda Kepang Desa Peniron. Metode yang digunakan adalah metode deskripsi kualitatif. Lokasi penelitian dilakukan di paguyuban Purwo Budoyo desa Peniron dan di tempat pementasan Tari kuda Kepang di Desa Peniron. Peneitian menggunakan teknik observasi, wawancara dan dokumentasi. Hasil penelitian nilai keindahan Kuda Kepang Desa Peniron terlihat pada pola pertunjukan yang terdiri dari bagian awal (babak pertama), bagian inti (babak kedua), bagian akhir (babak ketiga). Bentuk pertunjukan Tari Kuda Kepang Desa peniron terdiri dari gerak, iringan, tata rias, tata lampu/suara, dan tempat pentas yang memberi kesan indah, dinamis, gagah dan kuat. Kata Kunci : Bentuk Pertunjukan, Estetika, Tari Kuda Kepang
EVALUASI SUMBER DAYA LAHAN DI SUBDAS AMPEL, JEPARA MENGGUNAKAN SISTEM INFORMASI GEOGRAFIS DAN DATA PENGINDERAAN JAUH
Authors: Hanum Nurwinda Latifah , Cahyadi Ferry Dwi , Sulistiyaningrum Yanuar
Published: July 2018

Perkembangan Kota Jepara mendorong bertambahnya jumlah penduduk. Meningkatnya jumlah penduduk diikuti dengan peningkatan kebutuhan akan lahan. Hal tersebut mengakibatkan terjadinya persaingan dan konflik dalam pemanfaatan sumberdaya lahan (SDL). Pengelolaan SDL yang baik perlu memperhatikan kemampuan lahan. Penggunaan lahan yang tidak sesuai dengan kemampuan lahan akan mengakibatkan menurunnya produktivitas dan mengakibatkan rusaknya lahan. Evaluasi lahan sangat diperlukan sebagai dasar untuk perencanaan tataguna lahan yang tepat, sehingga lahan dapat digunakan secara optimal dan lestari. Evaluasi kemampuan lahan merupakan salah satu metode yang dapat digunakan. Daerah aliran sungai (DAS) memiliki potensi SDL yang seringkali pemanfaatanya tidak mengindahkan kemampuan lahan. Penelitian ini bertujuan untuk memetakan dan mengevaluasi kemampuan lahan di subDAS Ampel Kabupaten Jepara dengan menggunakan sistem informasi geografis (SIG) dan data penginderaan jauh (PJ).
PENGARUH IKLAN SEPEDA MOTOR YAMAHA TERHADAP CITRA MEREK (STUDI PADA MAHASISWA POLITEKNIK LP3I MEDAN)
Authors: Sukma STIM
Published: July 2018

The aim of this research is to know the influence of yamaha motorcycle advertisement on brand image (study on Police student of LP3I Medan). The sample of this study is all members of the population used as a sample, sampling using a saturated sample is a sample determination technique when all members of the population used as a sample. Data analysis using simple regression test with model accuracy (classical assumption test), hypothesis test using coefficient of determination test (R²), partial test (t test), while data processing using SPSS 15. The result of research indicate that advertisement variable can not explain its existence to Brand image, in addition to the partial advertising variable does not affect the brand image.
Strategi Pengembangan Usaha Kerajinan Bambu di Wilayah Kampung Pajeleran Sukahati Kecamatan Cibinong Kabupaten Bogor
Authors: Setiawan Budi
Published: July 2018

Bamboo handicraft business at rural areas, of Pajeleran Sukahati, Cibinong of Bogor district, Indonesia is estimated to have lasted since the 1960s carried from generation to generation. Some types of bamboo handicraft products routinely produced are variety of furniture products like tables and chairs. This study aims to know the description of the existence of craftsmen, the strengths and weaknesses as well as strategies that can be owned implemented for business development. Based on survey results revealed that the total value of IFE matrix owned by the craftsman is 3.00 and the total value of EFE matrix is 3.05. Further analysis of these results is phase matching, which produces information that the presence of artisans into the first cells that means grows and develops. There are three alternative strategies that can be applied by the craftsmen in developing their business are: 1). Market penetration; 2). Development or expansion of the market; and 3). Products development. Based on QSPM result, products development has a highest score of Total Attractive Score (TAS), so it’s has been chosen as the most recommended strategy.
PENGARUH DAYA TARIK WISATA TERHADAP MINAT KUNJUNGAN ULANG WISATAWAN (Studi di Museum Benteng Vredeburg Yogyakarta)
Authors: Diniyah Fitrotud , Gesa Lisa B. , Khoirullah
Published: July 2018

The purpose of this paper is to analyse the effect of the tourist attraction in Benteng Vredeburg Museum on the tourist intentions to return by using quantitative approach. According to Yogyakarta tourism statistic database, the visitors of Benteng Vredeburg Museum are always increasing every year, for which reason we are interested in doing this research. The research methods used in this study are descriptive and inferential analysis. The result showed that the quality of tourist attraction in Benteng Vredeburg Museum have significant impact on the tourist intentions to revisit this museum.
Serial Powerpoint Presentasi: Nilai Ekonomi Air di Daerah Karst
Authors: Adji Tjahyo Nugroho
Published: July 2018

1. Air hujan yang jatuh di karst;2. Airtanah karst (sungai bawah tanah dan mataair);3. Telaga karst (doline)4. Siklus air di karst yang ‘memakan’ karbon
Konsep Pendidikan Islam Perspektif Mahmud Yunus
Authors: Harahap Ahmad Ghozali
Published: July 2018

Rekognisi: Jurnal Pendidikan dan Kependidikan Volume 1, no.1, Tahun 2016 PGSD, Universitas Nahdlatul Ulama Sumatera Utara This study aims to determine the views of Mahmud Yunus about islamic education. This study needs Mahmud Yunus’ works about Islamic education concept. Besides as a comparison, it is also used some lite¬ratures about Islamic educational concept from other authors’ works. Mahmud Yunus views that the purpose of Islamic education is to prepare children in order to have the skill to do the world work and here after practice. To achieve these purposes, it needs the metods of Islamic education that takes into students psychology aspects, the rules of teaching, and three aspects incuding cognitive, affective, and psychomotoric. Islamic education has three aspects as follow as the mind education, moral education, and public education. Methodologies of moral education are to adorn themselves, training and habits, giving an overview despicable character, and its bad impact by an example, the story and the history of the biography contained in the alquran and the pious hero.
PENGARUH PEMAHAMAN TEORI VEKTOR TERHADAP PEMECAHAN MASALAH KINEMATIKA DAN DINAMIKA TEKNIK
Authors: 2017 Seminar Nasional Multidisiplin Ilmu , Astuti Dewi , Syafitri Ely
Published: July 2018

Penelitian ini merupakan penelitian tindakan kelas yang bertujuan untuk mengetahui pengaruh pemahaman teori vektor dari subjek terhadap kemampuan pemecahan masalah mata kuliah kinematika dan dinamika teknik. Penelitian dilaksanakan dalam dua siklus yang masing-masing siklus terdiri dari empat tahap penelitian,yaitu perencanaan, pelaksanaan, pengamatan, dan refleksi. Data penelitian dianalisis berdasarkan nilai ngaindari pre-test dan post-test pada setiap siklus penelitian. Hasil penelitian menunjukkan peningkatann-gain berkriteria tinggi pada siklus II sebesar 0,70. Kemampuan pemecahan masalah dominan pada indikator pengajuan argumentasi dengan nilai n-gain sebesar 0,73. Keterlaksanaan rencana kegiatan pembelajaran pada setiap siklus menunjukkan nilai reliabilitas di atas 80% dengan aktivitas mahasiswa dominan pada kegiatan mengerjakan LKM. Berdasarkan temuan penelitian ini disimpulkan bahwa pemahaman matematika vektor memberikan pengaruh positif terhadap kemampuan pemecahan masalah mata kuliah kinematika dan dinamika teknik