Using Support Vector Machine to identify imaging biomarkers of neurological and psychiatric disease: A critical review

Single subject prediction of brain disorders in neuroimaging: Promises and pitfalls.

Why Is Trehalose an Exceptional Protein Stabilizer? AN ANALYSIS OF THE THERMAL STABILITY OF PROTEINS IN THE PRESENCE OF THE COMPATIBLE OSMOLYTE TREHALOSE

Protein adsorption at the oil/water interface: characterization of adsorption kinetics by dynamic interfacial tension measurements

Publisher Summary There have been many reviews and books on electron spin resonance (ESR) and several on transition metal ions. Many of these publications have been written by physicists or theoreticians and are very comprehensive. This review is aimed at inorganic chemists, who have had no experience relating to electron spin resonance and who are becoming more and more likely either to use the technique or to need to appreciate the significance of the information available from the technique. The first part of the review gives an elementary account of the relevant theory. There are many good books for further reading for the inorganic chemist, who wishes to go deeper into the subject. The second part of the review is a comprehensive survey of the results of ESR studies on compounds of transition elements. Inevitably, there has had to be some selection of material, and the criteria for inclusion or rejection has been based upon the likely interest of an inorganic chemist might have in the species. This is particularly in the areas, where there is a lot of related work, e.g., the Mn2+ host-lattice data. In the case of copper dg complexes, there has been much duplication of work and papers devoted to the spectra of complexes where a minor substitutive change has been made to a bulky organic ligand.

Electron Spin Resonance of Transition Metal Complexes

To increase the folding yield of concentrated reduced lysozyme, we developed a renaturation method by means of dialysis from concentrated urea with redox agents. After lysozyme was incubated in the reducing buffer (8 M urea solution) with oxidized glutathione, renaturation of reduced lysozyme was started by dialysis against the dialyzing buffer containing 8 M urea with redox agents. The urea concentration of the dialyzing bottle was gradually diluted with dialyzing buffer without urea at a flow rate of 0.1 ml/min by high pressure pump. Using this systematic dialysis, a concentration as high as 5 mg/ml of reduced lysozyme could be renaturated in 80% yield, while the folding yield was < 5% even at a concentration of 1 mg/ml using a conventional rapid dilution method [Goldberg et al. (1991) Biochemistry, 30, 2790-2797]. Therefore, it was concluded that gentle removal of urea from denatured proteins, dissolved in concentrated urea solution, by means of dialysis should be useful to renature denatured proteins effectively.

Effective renaturation of reduced lysozyme by gentle removal of urea

The behaviours of the various dielectric properties and specific heat of potassium selenate, K 2 SeO 4 , have been studied with particular reference to the transitions at 129.5°K and 93°K. Below 93°K the crystal is ferroelectric along the c axis. The spontaneous polarization and coercive field determined from the hysteresis loop are 6.5×10 -8 coul/cm 2 and 60 V/cm respectively at 80°K. The curve of dielectric constant vs temperature obeys the Curie-Weiss law above the Curie point and the Curie constants for warming and cooling processes are 27°K and 30°K respectively. The Curie temperature varies almost linearly with the biasing field with the coefficient of 0.19°/kV/cm. Effects of the γ-radiation on the dielectric behaviour are observed. Discontinuity of the specific heat of about 2.3 cal/mol·deg has found at the transition of 129.5°K. Anomaly at the transition of 93°K is very small. The transition energy and the entropy change are estimated to be of the order of 0.5 cal/mol and 5×10 -3 cal/mol·deg of le...

Dielectric and Thermal Study of K2SeO4 Transitions

Objective: To characterize the clinical outcome in a large contemporary series of Japanese patients with newly diagnosed Ta, T1 non-muscle invasive bladder cancer who underwent transurethral bladder tumor resection with or without intravesical chemotherapy or Bacillus Calmette-Guerin (BCG) therapy.



Methods:  We developed a database incorporating newly diagnosed non-muscle invasive bladder cancer data and outcomes from a Japanese bladder cancer registry between 1999 and 2001 and identified a study population of 3237 consecutive patients who had complete data based on pathological features. Median patient age was 69.9 years.



Results:  The 1-year, 3-year, and 5-year overall recurrence-free survival rates were 77.0%, 61.3%, and 52.8%, respectively. In multivariate analyses, the multiplicity of bladder tumors, tumor size greater than 3 cm, pathological stage T1, tumor grade G3, and the absence of adjuvant intravesical instillation were independent risk factors for tumor recurrence. Overall, 1710 patients (52.8%) received intravesical instillation; chemotherapy in 1314 (76.8%) and BCG treatment in 396 (23.2%). In patients treated with intravesical chemotherapy in which an anthracycline chemo-agent was used in 90.5% of the cases, multivariate analyses demonstrated that male gender, multiple bladder tumors, a tumor size greater than 3 cm, and pathological stage T1 were associated with tumor recurrence.



Conclusions:  The accumulation and analysis of data from the Japanese National Bladder Cancer Registry made it possible to determine the clinical characteristics, management trends, and survival rates for the period studied. Further study with a dataset created from longer follow-up data would be warranted to analyze tumor progression and disease survival.

https://onlinelibrary.wiley.com/doi/pdf/10.1111/j.1442-2042.2008.02235.x

Clinical outcome of tumor recurrence for Ta, T1 non-muscle invasive bladder cancer from the data on registered bladder cancer patients in Japan: 1999-2001 report from the Japanese Urological Association.

Automated method for identification of patients with Alzheimer's disease based on three-dimensional MR images.

Rationale and Objectives. An automated method for identification of patients with cerebral atrophy due to Alzheimer’s disease (AD) was developed based on three-dimensional (3D) T1-weighted magnetic resonance (MR) images. Materials and Methods. Our proposed method consisted of determination of atrophic image features and identification of AD patients. The atrophic image features included white matter and gray matter volumes, cerebrospinal fluid (CSF) volume, and cerebral cortical thickness determined based on a level set method. The cortical thickness was measured with normal vectors on a voxel-by-voxel basis, which were determined by differentiating a level set function. The CSF spaces within cerebral sulci and lateral ventricles (LVs) were extracted by wrapping the brain tightly in a propagating surface determined with a level set method. Identification of AD cases was performed using a support vector machine (SVM) classifier, which was trained by the atrophic image features of AD and non-AD cases, and then an unknown case was classified into either AD or non-AD group based on an SVM model. We applied our proposed method to MR images of the whole brains obtained from 54 cases, including 29 clinically diagnosed AD cases (age range, 5282 years; mean age, 70 years) and 25 non-AD cases (age range, 4978 years; mean age, 62 years). Results. As a result, the area under a receiver operating characteristic (ROC) curve (Az value) obtained by our computerized method was 0.909 based on a leave-one-out test in identification of AD cases among 54 cases.

Hiroshi Koga

Papers

Effective renaturation of reduced lysozyme by gentle removal of urea

Dielectric and Thermal Study of K2SeO4 Transitions

Clinical outcome of tumor recurrence for Ta, T1 non-muscle invasive bladder cancer from the data on registered bladder cancer patients in Japan: 1999-2001 report from the Japanese Urological Association.

Automated method for identification of patients with Alzheimer's disease based on three-dimensional MR images.

Automated Method for Identification of Patients With Alzheimer's Disease Based on