Joint feature-sample selection and robust diagnosis of Parkinson's disease from MRI data

Adeli, Ehsan,Shi, Feng,An, Le,Wee, Chong-Yaw,Wu, Guorong,Wang, Tao,Shen, Dinggang Elsevier 2016 NeuroImage Vol.141 No.-

<P><B>Abstract</B></P> <P>Parkinson's disease (PD) is an overwhelming neurodegenerative disorder caused by deterioration of a neurotransmitter, known as dopamine. Lack of this chemical messenger impairs several brain regions and yields various motor and non-motor symptoms. Incidence of PD is predicted to double in the next two decades, which urges more research to focus on its early diagnosis and treatment. In this paper, we propose an approach to diagnose PD using magnetic resonance imaging (MRI) data. Specifically, we first introduce a joint feature-sample selection (JFSS) method for selecting an optimal subset of samples and features, to learn a reliable diagnosis model. The proposed JFSS model effectively discards poor samples and irrelevant features. As a result, the selected features play an important role in PD characterization, which will help identify the most relevant and critical imaging biomarkers for PD. Then, a robust classification framework is proposed to simultaneously de-noise the selected subset of features and samples, and learn a classification model. Our model can also de-noise testing samples based on the cleaned training data. Unlike many previous works that perform de-noising in an unsupervised manner, we perform supervised de-noising for both training and testing data, thus boosting the diagnostic accuracy. Experimental results on both synthetic and publicly available PD datasets show promising results. To evaluate the proposed method, we use the popular Parkinson's progression markers initiative (PPMI) database. Our results indicate that the proposed method can differentiate between PD and normal control (NC), and outperforms the competing methods by a relatively large margin. It is noteworthy to mention that our proposed framework can also be used for diagnosis of other brain disorders. To show this, we have also conducted experiments on the widely-used ADNI database. The obtained results indicate that our proposed method can identify the imaging biomarkers and diagnose the disease with favorable accuracies compared to the baseline methods.</P> <P><B>Highlights</B></P> <P> <UL> <LI> A novel joint feature‐sample selection (JFSS) algorithm is proposed. </LI> <LI> The selected subset best builds a classification model; </LI> <LI> A robust classification framework is proposed that de‐noises the training data, while learning the classification model; </LI> <LI> In addition, the test data are also de-noised based on supervised cleaned training samples; </LI> <LI> The method is applied for Parkinson’s disease (PD) diagnosis, as PD‐data driven methods are scarce and not widely studied. </LI> <LI> New clinically important regions of interest (ROIs) are defined, specifically designed for PD diagnosis. </LI> </UL> </P>

Use of Soil and Nutrient Management Practices for Restoration/remediation Quality of Eroded Soil

Ardeshir Adeli,Seth Dabney,John P. Brooks,Johnie N. Jenkins 한국토양비료학회 2014 한국토양비료학회 학술발표회 초록집 Vol.2014 No.6

Design, formulation and evaluation of Azithromycin binary solid dispersions using Kolliphor series for the solubility and in vitro dissolution rate enhancement

Ehsan Adeli,Seyed Alireza Mortazavi 한국약제학회 2014 Journal of Pharmaceutical Investigation Vol.44 No.2

The main purpose of this investigation isincreasing of the solubility and dissolution rate of Azithromycinby solid dispersion technique using KolliphorP 237, Kolliphor P 338 and Kolliphor P 407. Kolliphor(P 237, P 338 and P 407) in various properties by weight{(1:0.5), (1:1), (1:1.5) and (1:2)}, utilizing solvent evaporationmethod. Dissolution studies carried out in phosphatebuffer with pH 6.0 according to US pharmacopoeiamethod. The drug release profiles were studied, so wefound that the dissolution rate of the drug (by calculatingthe dissolution parameters) was significantly increasecompared to pure drug, also solubility of physical mixturesas well as solid dispersions increased compared to theintact drug. For example solubility of the drug increasedfrom 85–753 lg mL-1 (for Kolliphor P 237; 8 timesmore). The best results were as follows: KolliphorP 237[Kolliphor P 338[Kolliphor P 407. IR spectrarevealed no chemical incompatibility between drug andpolymer. Drug-polymer interactions were investigatedusing differential scanning calorimetry, powder X-raydiffraction and scanning election microscopy. The dissolutionrate and solubility of Azithromycin solid dispersionswas improved significantly using Kolliphor. Inaddition, the simplicity of this method is very effective andhave been met the project objectives.

Energy Harvesting by Cyclic Tensile Loading and Buckling via an Electrospun Polyblend Elastic Layer of PVDF/PU

Behrang Adeli,Ali Akbar Gharehaghaji,Ali Asghar Asgharian Jeddi 한국섬유공학회 2023 Fibers and polymers Vol.24 No.11

Energy harvesting through piezoelectric materials is considered an alternative to conventional power sources. Polyvinylidene fluoride (PVDF) is a piezoelectric material that has garnered significant attention from researchers. Blending PVDF with thermoplastic polyurethane can enhance its elastic properties. Numerous studies have successfully generated electric currents from piezoelectric materials by applying pressure and impact. This study, however, explores the generation of an electric current in piezoelectric materials by applying cyclic tensile loading. For this purpose, a tensile loading device was designed and built at the laboratory scale. Subsequently, a PVDF/PU polymer alloy layer (in a 25:75 ratio) was fabricated using the electrospinning method and installed in the loading device for testing. The results demonstrated that the electrical resistance decreased upon applying tension to the layer. Employing cyclic loading on the alloy layer resulted in an output voltage ranging between 3 and 9 mV, which confirmed the feasibility of energy harvesting from the polyblend layer. In a novel approach undertaken in this study, an electric current was generated by applying cyclic tensile loading, resulting in subsequent buckling. The potential energy harvesting mechanism from cyclic tensile loading and buckling is also elaborated upon. In addition, the study assessed and reported the effect of increasing the cyclic loading frequency on energy harvesting.

HYBRID NANOMATERIALS CONTAINING PAMAM, POLYROTAXANE AND QUANTUM DOT BLOCKS

MOHSEN ADELI,REZA SADEGHI SARABI,ELHAM SADEGHI 성균관대학교(자연과학캠퍼스) 성균나노과학기술원 2011 NANO Vol.6 No.3

Pseudopolyrotaxanes, Ps-PR, consisting of α-cyclodextrin rings, polyethylene glycol axes and end triazine groups were prepared and then were capped by amino-functionalized quantum dots, NH2-QDs, to achieve polyrotaxanes. The amino-functionalized QDs stoppers of polyrotaxanes were used as core to synthesize polyamidoamine, PAMAM, dendrons divergently and hybrid nanomaterials were obtained. Synthesized hybrid nanomaterials were characterized by different spectroscopy, microscopy and thermal analysis methods. They were freely soluble in water and their aqueous solutions were stable at room temperature over several months. Due to their biocompatible backbone, high functionality and water solubility synthesized hybrid nanomaterials are promising carriers and probes in cancer diagnosis and therapy.

CARBON NANOTUBE-GRAFT-POLY(CITRIC ACID) NANOCOMPOSITES

MOHSEN ADELI,ALI BAHARI,HODA HEKMATARA 성균관대학교(자연과학캠퍼스) 성균나노과학기술원 2008 NANO Vol.3 No.1

Novel biodegradable nanocomposites containing multi wall carbon nanotubes (MWCNT) and poly(citric acid) (PCA) were successfully synthesized. For preparation of nanocomposites, MWCNT was opened using a mixture of sulfuric and nitric acid and its derivative containing –COOH and –OH functional groups was obtained. Polycondensation of monohydrate citric acid in the presence of functionalized MWCNT in the melting state was lead to nanotube-graft-poly(citric acid) (CNT-g-PCA) nanocomposites. The degree of polymerization of grafted hyperbranched poly(citric acid) onto the CNTs was controlled using CNT/citric acid ratio. The CNT-g-PCA were soluble in water freely and stirring their water solution and silver nitrate at room temperature lead to the CNT-g-PCA containing encapsulated silver nanoparticles in their polymeric shell. The structure of nanocomposites was characterized by TEM, DLS and spectroscopy methods.

OPTIMIZATION OF THE MECHANICAL STRENGTH PROPERTIES OF POLY(L-LACTIDE)/MULTI-WALLED CARBON NANOTUBE SCAFFOLDS USING RESPONSE SURFACE METHODOLOGY

HASSAN ADELI,SHARIF HUSSEIN SHARIF ZEIN,SOON HUAT TAN,ABDUL LATIF AHMAD 성균관대학교(자연과학캠퍼스) 성균나노과학기술원 2011 NANO Vol.6 No.2

In this study the response surface methodology (RSM) coupled with the central composite design (CCD) were used to optimize the mechanical strength properties of poly(L-lactide)/multi-walled carbon nanotube (MWCNT) scaffolds. The scaffolds were prepared by the freeze-extraction method. MWCNTs were incorporated into PLLA composite as a reinforcement agent in order to improve the strength properties of the scaffolds. The effect of process parameters such as ratio of PLLA/(PLLA + MWCNT) (93–100%), solvent amount (100–200 ml), freezing time (5–7 h) and immersing time (2–4 days) were studied using the design of experiment (DOE). Based on CCD, quadratic model was obtained and developed to correlate the process parameters to the strength of the scaffolds. An analysis of variance (ANOVA) was applied to determine the significant factors affecting the experimental design response (strength) of the scaffolds. The predicted values after optimization process were in good agreement with the experimental values. The model was able to accurately predict the response of strength with less than 5% error.

Theoretical analysis of rotary hyperelastic variable thickness disk made of functionally graded materials

Ahmad Soleimani,Mohsen Mahdavi Adeli,Farshad Zamani,Hamid Haghshenas Gorgani 국제구조공학회 2022 Steel and Composite Structures, An International J Vol.45 No.1

This research investigates a rotary disk with variable cross-section and incompressible hyperelastic material with functionally graded properties in large hyperelastic deformations. For this purpose, a power relation has been used to express the changes in cross-section and properties of hyperelastic material. So that (m) represents the changes in cross-section and (n) represents the manner of changes in material properties. The constants used for hyperelastic material have been obtained from experimental data. The obtained equations have been solved for different m, n, and (angular velocity) values, and the values of radial stresses, tangential stresses, and elongation have been compared. The results show that m and n have a significant impact on disk behavior, so the expected behavior of the disk can be obtained by an optimal selection of these two parameters.

Gram Scale and Room Temperature Functionalization of Boron Nitride Nanosheets for Water Treatment

Shirin Daneshnia,MOHSEN ADELI,Yaghoub Mansourpanah 성균관대학교(자연과학캠퍼스) 성균나노과학기술원 2019 NANO Vol.14 No.8

Two-dimensional hexagonal boron nitride is a fascinating nanomaterial with a broad range of potential applications. However, further development of this nanomaterial is hampered because of its poor functionality and low processability. One of the efficient strategies for improving the processability of two-dimensional hexagonal boron nitride is the covalent functionalization of this nanomaterial. In this study, we report on a straightforward approach for functionalization of two-dimensional hexagonal boron nitride by lithium cyclopentadienyl and its application for water treatment. Cyclopentadienyl-functionalized boron nitride was characterized by different spectroscopy and microscopy methods as well as thermal and BET analysis. The synthesized nanomaterial was able to efficiently remove methylene blue from water in a short time. Adsorption capacity of this nanomaterial was as high as 476.3 mg/g, which was superior to the non-functionalized boron nitride. Our results showed that cyclopentadienyl-functionalized boron nitride is a promising candidate for the removal of cationic pollutants from water.

SYNTHESIS OF HYBRID NANOMATERIALS USING LINEAR-DENDRITIC COPOLYMERS

ALI BAHARI,MOHSEN ADELI,SONIA MOHAMAD HOSSEINI 성균관대학교(자연과학캠퍼스) 성균나노과학기술원 2011 NANO Vol.6 No.4

New types of hybrid nanomaterials consisting of CdSe and ZnS quantum dots were synthesized through noncovalent interactions. Polycitric acidpolyethylene glycolpolycitric acid linear-dendritic copolymers were synthesized and sonicated in the presence of amino-functionalized CdSe and ZnS quantum dots (QDs). Based on microscopy and spectroscopy investigations, it has been found that CdSe and ZnS QDs link together through linear-dendritic copolymers bridges. This strategy led to composites containing two types of QDs dispersed in a polymeric matrix. Optical properties of CdSe/ZnS hybrid nanomaterials depended on different factors that affect the noncovalent interactions between linear-dendritic copolymers and QDs.