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A New Dimension in the Study of Human Functional Joint Instability Wen Liu1,2, a,Tarang Jain1, b,Clayton Wauneka2,c 1 Department of Physical Therapy and Rehabilitation Science 2 Bioengineering Program University of Kansas awliu@kumc.edu, btjain@kumc.edu, ccwauneka@kumc.edu Keywords: Functional Instability, Unloading, Hyper-Reactivity, Central Nervous System, Ankle Joint Abstract.Functional joint instability is common after joint soft tissue injuries.
Materials and Method The proposed study was designed to compare unloading reaction in a group of individuals with FAI and a group of healthy controls.
Hanham, "The etiology and prevention of functional instability of the foot," Journal of Bone & Joint Surgery (British Volume), vol. 47, pp. 678-85, Nov 1965
Salter, "Neuronal plasticity: increasing the gain in pain," Science, vol. 288, pp. 1765-9, Jun 9 2000

While the kinematic and dynamic properties of the machine tool and the tool geometry influence the surface waviness and form error; the material properties of the tool and workpiece, the vibrations, and the environmental factors such as the coolant influence the surface in the roughness scale.
Campatelli, G, On the generation of chatter marks in peripheral milling: A spectral interpretation, International Journal of Machine Tools and Manufacture. 133 (2018) 31-46
Cheng, Dynamic cutting process modelling and its impact on the generation of surface topography and texture in nano/micro cutting, Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture. 223.3 (2009) 247–266
Amidror, Sub-Nyquist artefacts and sampling moiré effects, Royal Society open science. 2.3 (2015), 140550.

They can be synthetic or natural and can be classified according to their chemical nature as organic and inorganic and according to mechanism of action as anodic, cathodic or mixed inhibitor, in general the inorganic inhibitors have cathodic or anodic actions, but the organic inhibitors have both actions cathodic and anodic and can protect the metal by a film adsorption.[2] Surfactants are considered as an important corrosion inhibitor with high ability for several metals in different media so they are used in different applications in many practical fields such as petroleum oil recovery, corrosion inhibition water and environmental pollutions, biotechnology, wide applications in different industries, medical science, analytical chemistry, pollution control, physics and engineering field as they are multidisciplinary in nature. [3,4] Anionic surfactants have large inhibiting effect of corrosion of steel in different media [5] such as (Diisononyl phthalate (A), N-oleyl-1, 3-propane –diamine
Experimental 2.1.Materials Experiments were performed on carbon steel of the following composition (weight %): 0.15–0.20% C, 0.60–0.90% Mn, 0.04% P, 0.05% S, and the remainder Fe. 2.2.Surfactants Anionic surfactants which used in this research obtained from Fluka product of pure quality (97%). 2.3.Solutions 1 M hydrochloric acid solution used as corrosive medium which was prepared using double distillated water and was standardized by sodium carbonate.
Talbot, Corrosion science and technology, 52 (2010) 432
Elbhrawy, Egyptian Journal of Petroleum, in press [15] D.D.N.

Mehrer, Diffusion in Solids: Fundamentals, Methods, Materials, Diffusion-Controlled Processes, Springer Series in Solid-State Sciences, vol. 155, 2007. ].
Okamoto, eds., Phase Diagrams of Indium Alloys and Their Engineering Applications, ASM International, Materials Park, OH, 1992. ] and the solubility limit of In in solid-Ga has been found using PAC to be at a mole-fraction of 10-11 [[] Xiangyu Yin, Indium solubility in a-gallium and gallium-indium eutectic alloys studied using PAC, MS thesis, Washington State University, 2011 (unpublished). ].
Okamoto, eds., Phase Diagrams of Indium Alloys and Their Engineering Applications, ASM, Materials Park, OH, 1992. ].
Collins, Nonstoichiometry in line compounds, Journal of Materials Science 42 (2007) 1915-1919. ].
Acknowledgment This research was supported in part by grants DMR 05-04843, 09-04096, and 18-09531 from the National Science Foundation.

Metal instabilities and its effect on cell performance during aluminium smelting A Agnihotri1,a, S U Pathak2,b and J Mukhopadhyay3,c 1Scientist-V, Jawaharlal Nehru Aluminium Research Development and Design Centre, Wadi, Nagpur – 440023, Maharashtra, INDIA 2Professor, Department of Metallurgical & Materials Engineering, Visvesvaraya National Institute of Technology, Nagpur 440010, Maharashtra, INDIA 3Visiting Professor, Department of Material Science and Engineering, Indian Institute of Technology, Gandhinagar 382424, Gujarat, INDIA aaaagnihotri@yahoo.com, bsupathak@mme.vnit.ac.in, cjm@iitgn.ac.in Key words: Aluminium, magnetic field, cell voltage, instability, noise, voltage Abstract The Hall-Heroult process for the production of aluminium is based on the electrochemical reduction of alumina (Al2O3) dissolved in a cryolite (Na3AlF6) based electrolyte.
It is true that back reaction is one of the important factors for lowering of current efficiency but there are many other factors as listed below which play important role in lowering of current efficiency: · Other material being co-deposited · Some of the products reduced at the cathode may remain in electrolyte phase and subsequently be re-oxidised (current stealing) · Electronic conductivity of electrolyte and physical short circuiting · Other heterogeneously formed compounds Unstable cell operation can be judged by abnormal value of counter electromotive force.
References [1] K Grojtheim and H Kvande, “Understanding the Hall-Heroult process for production of aluminium”, 2nd ed., Aluminium- Verlag, Düsseldorf, 1986 [2] K Grojtheim, C Krohn, M Malinovsky, K Matiasovsky and J Thonstad, “ Alumnium eletrolysis – Fundamentals of the Hall-Heroult Process”, 2nd ed., Aluminium- Verlag, Düsseldorf, Federal Republic of Germany, 1982 [3] 3a W F Lewellyn, “Determination of the counter electromotive force on operating aluminium reduction cells”, Journal of Metals, July, 1970, pp 57 - 29 [4] Thomas M.

[5] Young-G Lee,Jung-Ki Park, Electrochemical characteristics of polymer electrolytes based on P(VdF-co-HFP)/PMMA ionomer blend for PLIB, Journal of Powersources 97-98 (2001) 616-620
[7]A.S.Arico, P.G.Bruce, B.Scrosati, J.M.Tarascon, W.V.Schalkwijk, Nanostructured materials for advanced energy conversion and storage devices,Nat.Matter 4 (2005) 366-377
[22] Mac Callum JA, Vincent CA(1987) polymer electrolyte reviews-I,Elsevier Applied Science, London
[23] R.Baskaran, S.SelvasekaraPandian, N.Kuwata, J.Kawamura,T.Hatton, ac impedance, DSC and FT-IR investigations on (x) PVAc–(1−x) PVdF blends with LiClO4, Materials Chemistry & Physics 98 (2006) 55-61

Non-linear Hardening Rule The evolutional equation for hardening parameter *ijχ is given by d * ijχ =B*(A*de pij - *ijχ d *P γ ) (20) in which A* and B* are material parameters.
A* is related to the stress ratio at failure, namely, A* =M* f [= ( 2/1** )ijijηη at failure) (21), B* = G p /M* f (22) B* also complies with an evolutional equation as B* =Cf (B * * 1 *) p dB γ− (23) in which B*1 and Cf are material parameters.
The soil material of the embankment is modeled by the elasto-plastic model proposed by Oka et al. (1999).
The material parameters are listed on Table 1.
T. van Genuchten: A closed-form equation for predicting the hydraulic conductivity of unsaturated soils, Soil Science Society of America Journal, Vol. 44 (1980), pp. 892-898

Before running simulation in ANSYS Fluent, the following steps need to be done: · import mesh model from ANSYS TurboGrid, · set unit used and standard gravity acceleration in General Tab, · set turbulence model in Models Tab, · set working fluid in Materials Tab, · set working fluid motion in Cell Zone Conditions Tab, · set boundary conditions in Boundary Conditions Tab, · set mesh interfaces in Mesh Interfaces Tab, and · initialize solution The steps below explain changes in settings in each tab in ANSYS Fluent, which means default value is used if stated otherwise for minimal computational resources.
Fig. 28 General Tab setting Fig. 29 Models Tab setting Fig. 30 Materials Tab setting ANSYS TurboGrid names each surface before exporting to ANSYS Fluent to ease setting process of boundary conditions.
Djodikusumo, et al, Design and 3-D Modeling of a Propeller Turbine Runner Utilizing NACA Profile, ITB Journal of Engineering and Technological Science (in review)

Wax, Applicability conditions of the Stokes formula, AIMS Materials Science, 8(5) (2021) 809–822
Sutherland, A Dynamical Theory of Diffusion for Non-Electrolytes and Molecular Mass of Albumin, The Philosophical Magazine and Journal of Science 9 (1904) 781-785

At present, the industrial pollution sources of the lake are mainly concentrated in textile industry, chemical raw materials and chemical products manufacturing, food industry etc.
In the governance of the Thames, science and technology support are very important.
Acknowledgements National Social Science Fund: co-management of water pollution in Tai Lake Basin model and its application (07bjy068).
[5] LiPan Jiang, Basic experience of the British governance of the Thames, Journal of Chinese fishery economic research.2 (1999) 40.